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About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. About the Role As a Site Reliability Engineer, you will apply software engineering to improve the reliability, scalability, security, and operability of FuriosaAI’s production infrastructure and customer-facing services. You will work across baremetal Kubernetes clusters, cloud control planes, networking, observability systems, deployment pipelines, and API services running on Furiosa NPUs. We are looking for an engineer who can reason about production systems end-to-end, identify reliability risks across service and infrastructure boundaries, build the observability foundation required to understand them, and drive improvements through code, configuration, automation, and architectural changes. In this role, your mission is defined by three primary pillars: Reliability Architecture: Improve production systems so failures are isolated, degraded gracefully, detected quickly, and recovered safely. Observability & SLOs: Build the metrics, logs, traces, dashboards, alerts, and service-level indicators required to understand user-facing reliability. Production Engineering: Reduce operational toil through automation, self-service workflows, safer rollouts, and hands-on engineering contributions. Key Responsibilities Define and evolve reliability goals for production systems through SLIs, SLOs, error budgets, and meaningful operational metrics. Design and build observability foundations that make system behavior, user impact, performance bottlenecks, and failure modes measurable and actionable. Analyze production systems end-to-end, identify reliability risks across software, infrastructure, and networking boundaries, and drive architectural improvements. Improve change safety and failure recovery through better rollout strategies, capacity planning, load validation, graceful degradation, and incident learning loops. Reduce operational toil by building automation, internal tooling, and self-service workflows that make production systems easier to operate and harder to misuse. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Strong programming skills in one or more general-purpose languages such as Rust, Python, , or Go. Solid understanding of operating systems, computer networks, and cloud-native or container-based environments. Ability to analyze technical problems and communicate clearly with engineering teams. Preferred Qualifications Experience improving reliability of production systems using SLOs, observability, incident analysis, rollout safety, and error-budget-driven decision making. Experience designing or operating distributed systems where failures, overload, latency, and capacity limits must be explicitly managed. Experience building automation, internal tooling, or self-service workflows that reduce operational toil and improve engineering productivity. Experience working across software, infrastructure, networking, and security boundaries to diagnose problems and drive architectural improvements. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

CSQ427R171 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: 7+ years of experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets Willing to travel once every 4-8 weeks to see customers (as needed) Language Proficiency: Native-level fluency in Korean and professional working proficiency in English (both written and verbal). About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! As the Senior Director of Solutions Architecture for Asia Pacific at Cohere, you will own Solutions Architecture across the region. Our customers here are banks, telcos, industrials and governments who cannot send their data to someone else’s cloud, and who are past experimenting and into production. You will lead the team that makes those deployments real, and you will be accountable for the technical win across the region. This is a build. Today a Solutions Architecture team covers Korea, Japan and Southeast Asia. You will own that team, grow it, and build the in-region depth this market needs. You will be expected to open doors on your own credibility and network from your first weeks, set direction for the function, sit on the Solution Architecture leadership team alongside the regional leaders for the Americas and EMEA, and contribute to company-wide decisions with your peers across Sales, Product and Engineering. IN THIS ROLE, YOU WILL: - Build and Lead the Team: Hire, coach and develop the Asia Pacific Solutions Architecture organization, and establish in-region depth rather than relying on support flown in from other regions. - Open Doors Across the Region: Bring industry knowledge, technical credibility and an existing network to get Cohere into strategic accounts quickly. This is the central expectation of the role and you should expect to be measured on it. - Own the Technical Win: Be personally accountable for the technical outcome of the region’s most strategic pursuits, and be in the room for the ones that decide the year. - Set Direction for the Function: Define the vision, strategy, coverage model and operating rhythm for Asia Pacific Solutions Architecture across three markets that buy differently and regulate differently. - Architect Sovereign and Regulated Deployments: Lead customers into secure, scalable, production-ready agentic AI deployments across cloud, hybrid, VPC, on-premises and air-gapped environments, which is where much of this region’s demand sits. - Build Repeatable Solution Practices: Establish scalable solution-selling methodologies, industry playbooks, executive narratives, business cases and technical delivery frameworks that improve consistency and win rates. - Partner with Regional Sales Leadership: Own territory, coverage and pipeline jointly with the Asia Pacific sales leader, and be accountable for the number together. - Shape Product Direction: Partner closely with Product and Engineering to translate Asia Pacific customer needs into platform improvements and roadmap priorities. You will be one of a handful of people who can tell our product organization what this region actually requires. KEY RESPONSIBILITIES: - Build and develop the Asia Pacific Solutions Architecture team through hiring, coaching, performance management and career development. - Partner with regional Sales leadership to pursue and close strategic enterprise opportunities across financial services, telecommunications, industrials, technology and the public sector. - Establish and own the regional coverage model across Korea, Japan and Southeast Asia, and make the case for where the team grows next. - Lead executive workshops, discovery sessions, solution presentations and technical deep dives with C-suite and senior customer stakeholders. - Develop business cases, solution architectures, implementation roadmaps and technical proposals that align customer objectives with Cohere’s platform. - Guide customers through the deployment of enterprise AI solutions, ensuring scalability, security, governance, data residency and operational readiness. - Create repeatable solution assets, industry playbooks and best practices that enable the team to consistently deliver high-quality customer engagements. - Collaborate cross-functionally with Product, Engineering, Sales and Customer Success to ensure alignment between customer needs and platform evolution, and contribute to decisions that reach beyond your own function. - Serve as the voice of the region by capturing customer feedback and competitive insights that influence product strategy. - Own and report on the region’s operational and commercial metrics, including technical win rates, pipeline health, coverage and team performance. WHAT WE’RE LOOKING FOR: - Leadership Experience: 15+ years in Solutions Architecture, Solutions Engineering, Technical Consulting or Enterprise Architecture, including 7+ years leading customer-facing technical teams, and a record of developing people into senior and leadership roles. - Regional Depth and Network: You have built or run a technical organization across more than one Asia Pacific market, you understand how enterprise technology is actually bought in each of them, and you have a network of senior technical and executive relationships you are willing to be measured on. - People Leadership: A proven record of hiring, coaching and developing high-performing Solutions Architecture or Solutions Engineering teams, including building a team in-region from a small base. - Hands-On Technical Credibility: You are technical enough to be believed by a strong engineering bench. You have put real AI systems into production, you can pressure-test your team’s architecture, and you can be the most useful person in a design conversation when it matters. We care far more about what you have deployed, and what broke, than about which models you can name. - Commercial Acumen: A demonstrated ability to partner with enterprise Sales leadership, influence strategic deals, and articulate business value to executive stakeholders. You have carried a number and can point to deals you personally moved. - Executive Presence: You command a room. You are credible in front of a CEO and their business leaders as well as a Chief Information Officer, a Chief AI Officer or a Chief Information Security Officer, and you can move between the business case and the architecture without losing either audience. - Technical Expertise: A strong understanding of modern AI architectures, including large language models, agentic systems, retrieval, enterprise integrations, cloud platforms, hybrid and on-premises deployments, security and governance. - Enterprise Experience: Experience designing and delivering enterprise technology solutions in complex, regulated or large-scale environments. PREFERRED QUALIFICATIONS: - Experience building an AI, machine learning or data science function inside a large regulated enterprise, and taking it into production. - Depth in Asia Pacific financial services, telecommunications or the public sector. - Experience deploying into environments where the customer controls the infrastructure, including on-premises, sovereign and air-gapped deployments. - Background in enterprise AI, cloud, or data platform companies, or applied AI consulting organizations. - Experience building repeatable solution-selling methodologies and helping generalist technical teams operate at a consistently high level. - Working proficiency in a regional language in addition to English. - Experience operating in high-growth environments where speed, ownership and cross-functional collaboration are critical. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

The Company Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations—chat, voice, video, messaging APIs—and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users. We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good. We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack—into intelligence, into experience, into outcomes. We had a choice: protect what we built, or reinvent ourselves. We chose reinvention. In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX—built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai. The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost—the feeling of being truly understood and cared for. Not satisfied. Delighted. The Product Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel—chat, SMS, email, voice, WhatsApp—without losing the thread. We're building AI that makes customers feel understood, seen, and remembered. The Role You'll own end-to-end delivery of core AI agent capabilities, from architecture to production, driving excellence across orchestration, prompt engineering, and platform scalability. You'll mentor the engineers around you and set the standard for AI-native development. This role is built for someone who moves fast, thinks in systems, and uses AI to ship at a pace that surprises people. You might be this person if: You've owned a system that broke in production, made it better, and still think about why it broke. You use agentic tools like Claude Code or Codex as a core part of your dev workflow, not as a novelty. You enjoy mentoring junior engineers not because it's expected, but because you genuinely care about how they grow. You've shipped LLM-powered features into production and have strong views on where prompt engineering ends and architecture begins. You've led technical planning in a cross-functional setting and can hold your own in a room with PMs, designers, and engineers at once. You need to have: 3+ years of software engineering experience with direct ownership of AI/ML or backend systems in production. Deep Python expertise with a proven track record of building and scaling reliable, performant systems. Hands-on experience with LLM APIs. Strong system design and architecture skills, including distributed systems and cloud-native deployments on AWS or GCP. Strong English proficiency. You can communicate complex technical ideas clearly in writing and in conversation. What you'll actually do: Design and implement core agent features including advanced RAG pipelines, multi-step tool use, and agent orchestration logic. Drive architectural decisions for the AI agent platform with a focus on fault tolerance, scalability, and extensibility. Build and optimize evaluation, observability, and classification pipelines that improve agent performance over time. Lead prompt engineering strategy for diverse customer use cases, including designing A/B testing and automated regression pipelines. Improve retrieval logic and embedding models to push RAG pipeline performance further. Monitor AI research and actively bring relevant techniques into production systems, using agentic CLIs and automation tooling to accelerate iteration cycles. Guide junior engineers and interns through code reviews, architectural discussions, and technical planning. Partner with PMs, designers, and sales engineers to translate real customer needs into well-scoped technical solutions. Added Value: Prior experience with real-time or conversational interfaces. Hands-on experience with agentic frameworks such as LangChain or LangGraph. Familiarity with vector databases, search technologies, or large-scale data processing. Contributions to open-source LLM or AI tooling ecosystems. Native-level English fluency. Our KR benefits include (but are not limited to): Silicon Valley's equity program (1-year cliff) Hybrid work policy, flexible work hours Be Your Best Self: 3.9 million won (prorated by start date) for expenses ranging from professional development classes and training, to personality assessments, to gym memberships, to books, to fitness classes, to mental health services, to massages Learn a Language benefit - up to 3.6 million won per year towards language lessons Monthly team building cost Partial support for commuting costs Free parking at the Seolleung office Group insurance support that covers employees, spouses, and children Medical checkup support, including MRI and genetic testing - for the employee and one family member Seven additional paid holidays in addition to annual leave (Boost leave, Birthday leave, etc.) Unlimited snack bar filled with snacks, beverages, and instant noodles every day 12-week paid parental leave support (available for both mothers and fathers) Other support programs for congratulations and condolences Flexible Work Policy We offer a flexible work schedule at Sendbird. We also value collaboration and relationship building. With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum. Some of our roles require a more frequent in-office schedule. Please work with your manager to understand the office time requirements for your position. What diversity and inclusion mean to us There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you. Why Sendbird We're not adding AI to a legacy product. We rebuilt from the ground up with a decade of proprietary conversation data that most AI companies would kill for. The people here are moving with urgency because the opportunity is real and the window is now. If you want to own something that matters and see it ship to millions of users, this is the place.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Forward Deployed Software Engineer Internship Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir’s operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE intern, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer’s reality until the problem is theirs. This requires walking many miles in a customer’s shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is “How do we predict and mitigate wildfire risks across a power grid?” or “How can we analyze and adapt a global supply chain to deliver critical parts on time?” You’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. Core Responsibilities To solve mission-critical problems by deploying software and AI into the high stakes operations of the world’s leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: Collaborate with engineers to make architecture and design decisions Wrestle with data at a scale that breaks assumptions and demands invention Build custom applications, LLM workflows, and production solutions engineered for a specific customer's reality Own relationships with stakeholders from the users in the weeds to the executives making the calls As an Intern you will be entrusted with responsibility on day 1. You will not be handed a ticket queue. You will not be shielded from the customer, the chaos, or the consequences. FDEs are entrusted with real ownership, operating with real autonomy, and held to a real standard, no matter their tenure. The drive to solve your customer’s problem. This can translate to: Going where you’re needed most — Embed where and when it matters. Expect 25–50% travel. Agency — You learn continuously, make decisions with incomplete information, and don't wait to be told what to do next. Embracing the ambiguity — You operate effectively in teams that mix technical and non-technical people, in environments where the objectives shift, the users push back, and the solution demands iteration. Intrinsic motivations — You solve hard technical problems (data structures, storage systems, cloud infrastructure, front-end frameworks) not because you were assigned to, but because that's what it takes to achieve your outcomes. Ruthless goal orientation — You do not operate within a product’s existing boundaries and limitations. You push past them, rewrite them, or discard them entirely. Ability to speak fluent Korean and English is a requirement. Engineering degree, preferred in fields such as Computer Science, Electrical and Computer Engineering, Mathematics, Software Engineering, Physics, and Data Science. Proficiency with one or more programming languages, such as Python, Java, C++, TypeScript/JavaScript, or similar. Must be graduating in 2027 or 2028. An updated resume / CV in PDF format. A 3-minute response to our application video prompt. Offer Deadline In an effort to build more transparency into our recruitment process, we’d like to share our offer deadline expectations. By applying to this position, you commit to confirming your decision within two weeks of receiving your written offer. Life at Palantir We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3).

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. About the Role Develop a comprehensive AI reference application and maintain internal AI services to accelerate real-world deployment of RNGDs. Key Responsibilities Develop high-impact AI applications and technical resources to enable the success of the global developer community. Develop enterprise-focused, high-quality reference applications and sample code that enable developers to effectively understand and utilize FuriosaAI’s SW stack and integrations. Drive end-to-end application enablement such as RAG systems, agentic systems, and RL inference engines on FuriosaAI accelerators, creating reproducible guides and reference implementations. Evaluate applications against real-world scenarios to validate performance, reliability, and usability of RNGD deployments. Support live application demos and collaborate with the global developer community through GitHub and open-source channels to improve real-world usability. Minimum Qualifications BS in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field. Experience in full-stack (frontend and backend) development of AI services. Experience collaborating across engineering, product, and design teams to align software development with product requirements. Preferred Qualifications MS or PhD in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field. Experience in developing and maintaining AI products, including running A/B tests and operating services under high traffic. Experience in open-source projects on AI applications such as agentic systems, RAG, or multimodal pipelines. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. About the Role Lead the integration of diverse AI models including VLA, Vision, and Multimodal architectures by utilizing our kernel programming language to ensure both accuracy and performance while keeping the stack ready for developers to use. Key Responsibilities Design and implement efficient kernels on FuriosaAI’s kernel programming stack (including vISA, TCL), targeting Tensor Contract Processor (TCP) architectures. Diagnose and optimize kernel performance with profiling tools and roofline analysis for each RNGD-accelerated AI model. Develop and apply automated kernel generation and optimization for AI workloads. Build diagnostic tools or testbeds for robust and reliable kernel validation. Drive end-to-end programming enablement on RNGDs, creating reproducible guides and reference implementations. Minimum Qualifications BS in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field. Experience in low-level systems programming targeting XPU (e.g., NPU, GPU) architectures. Experience collaborating across engineering, research, and product teams to align software development with product requirements. Preferred Qualifications MS or PhD in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field. Experience in optimizing high-performance kernels on AI accelerators (e.g., GPU, TPU) for AI products. Understanding of XPU architecture (computation patterns, data movement) and software-hardware co-optimization strategies. Experience in open-source or research projects on AI model architectures such as Diffusion, Mamba, and VLA. Experience in designing efficient deep learning architectures and developing algorithms for AI applications. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We seek a highly specialised technical Senior Security Architect (SA) who practices security with an obsession for helping customers design and implement the best security mechanisms, particularly those that would relate to the Snowflake AI & Data Cloud. At Snowflake, Security Architects are passionate about security, often involving tremendous technology challenges that require no simple solutions. Success requires working collaboratively with a broad range of people inside and outside the company. Operating out of our APJ Field CTO Office, you will serve as our primary South Korean Security expert, who will be a cloud compliance evangelist, technical architect, and hands-on practitioner. This specialized role bridges the gap between global cloud data architecture and South Korea’s rigorous, localized regulatory frameworks, specifically the Cloud Security Assurance Program (CSAP) and the Korea Financial Services Institute (K-FSI) Safety Evaluation. IN THIS ROLE YOU WILL GET TO: - Help to scope security related feature enhancements on behalf of customers to work with Product Management and Engineering on ways to enhance requirements for the local market. - Help drive Snowflake adoption by advising customers and engineering teams on how to build secure Korea-compliant Data and AI architectures, ensuring Snowflake implementations respect strict localization and regional access controls. - Collaborate with cross-functional teams, including Sales, Product, Engineering, Marketing, and Support in order to drive customer security feature adoption. - Partner with our Product Marketing team to define and support Snowflake's AI and Data Cloud posture and Security DataLake workload awareness and pipeline building via marketing initiatives including conferences, trade shows, and events. - Work and collaborate with other Field CTO members in areas as a security expert collaborating with Enterprise AI, Gen AI, Data Engineering and Applications teams at Snowflake. - Share knowledge with internal and industry communities via webinars & conferences. ON DAY ONE WE WILL EXPECT YOU TO HAVE: Mandatory Technical Experience & Language Proficiency (Required) - Verified Industry Experience: 7-10+ years of hands-on information security experience, with at least 5+ years focused squarely on cloud security architecture (AWS, Azure, GCP, or domestic Korean CSPs like Naver Cloud/NHN). - Mandatory Korean & English Fluency: Native or professional business fluency in written and spoken Korean is strictly required for regulatory filings, KISA/FSI communications, and complex technical documentation. Professional-level English is required for global HQ collaboration. - 10+ years of industry, customer-facing, and hands-on implementation experience with a core focus on data concepts, privacy, governance, networking, infosec and security technologies. - Outstanding skills in presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - Experience selling enterprise SaaS software and working in the local South Korean market. - Korea-Specific Infrastructure Design: Proven experience designing and managing physical and logical network separation architecture and data localization/residency compliance for highly regulated industries. - Expertise and in-depth working knowledge and hands-on experience in cloud platforms (at least one of the following: AWS, Azure, GCP), and its corresponding security, data encryption, and networking architecture and technologies. - Cloud Infrastructure & Networking: Advanced understanding of IAM/RBAC, OAuth, identity governance (SCIM), TCP/IP, IP routing, DNS, proxies, and CSP private networking (NAT, Firewalls, TLS, PrivateLink). - Advanced Identity & AI Security: Practical exposure to modern security vectors, including AI Security principles and emerging non-human identity frameworks like Agentic Identity (securing AI agents, orchestrators, and LLM data pipelines). - Audit Lifecycle Management: Experience executing gap assessments, control implementations, evidence collection, and managing annual surveillance/reassessment cycles. - Ability to build out demos, configure CSP environments, and test use cases on the Snowflake platform and relevant integrations with CSP services and external security tools. - Ability to create security and networking-related reference architectures, security best practices and hardening guides, and articulate them to a customer audience. - A demonstrated knowledge of security frameworks such as NIST, CIS, OWASP, MITRE ATT&CK and how to articulate controls and security mechanisms within a Risk Assessment centred approach. - Knowledge of ANSI SQL compliant databases and / or data warehousing is preferred - Excellent written and verbal communication skills, interpersonal and collaborative skills, presentation and white boarding skills to a large audience, and the ability to successfully communicate security and risk-related concepts to technical and nontechnical audiences. - Fair understanding of the culture diversity across Asia Pacific Japan region and flexibility of working with customers and colleagues from multiple APJ time zones. - Bachelor's degree in Information Security, Computer Science, Information Management Systems, or related field required. Masters preferred. Korean Regulatory & Compliance Expertise (Highly Desired) - Proven CSAP Track Record: Direct, hands-on experience leading or supporting a successful CSAP certification framework (Low, Mid, or High tier) - K-FSI & Financial Sector Mastery: Direct experience navigating the K-FSI CSP Safety Evaluation process, demonstrating a deep understanding of vendor risk, outsourcing due diligence, and the Regulation on Supervision of Electronic Financial Transactions (RSEFT / 전자금융감독규정). - Data Privacy Mastery: Clear working knowledge of South Korean data privacy and cloud legislation, including Article 23-2 of the Cloud Computing Act, the Electronic Financial Transactions Act (EFTA), and the Personal Information Protection Act (PIPA). BONUS POINTS FOR THE FOLLOWING: - AWS/Azure/GCP security and / or networking specialty related certification achievement is a plus - Hands-on expertise with SQL, Python, and APIs - Hands-on expertise with software containerisation in Kubernetes, including the use of Terraform or similar technologies. - A background or experience in Governance, Risk, Compliance (GRC) and Infosec Auditing with relevant accreditations. - Any security operations experience in a Security Operations Environment, Security - Korean Manufacturing/Telco/Financial Services Vertical experience: Prior experience implementing cloud security architectures or handling compliance programs within various Korean verticals such as: Manufacturing Industry, Telecom, Financial Services, Retail. - Formal Certifications: Valid global security credentials (CISSP, CISM, or CISA) paired with official K-ISMS-P Lead Auditor/Assessor credentials. - DevSecOps & Coding: Hands-on expertise with SQL, Python, APIs, containerization (Kubernetes), and Infrastructure-as-Code (Terraform). - SecOps Experience: Prior experience working within a live Security Operations Center (SOC) or threat-hunting environment. - Enterprise SaaS Experience: Technical pre-sales or architecture experience supporting enterprise cloud or SaaS software sales cycles. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

Security isn't just a checkbox at Delight.ai. It's the foundation everything else is built on. If you believe security should accelerate how people work, not slow them down, keep reading. The Company Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations—chat, voice, video, messaging APIs—and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users. We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good. We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack—into intelligence, into experience, into outcomes. In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX—built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai. The Product Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel—chat, SMS, email, voice, WhatsApp—without losing the thread. We're building AI that makes customers feel understood, seen, and remembered. The Role As part of the march towards our vision of building a powerful user engagement platform, we are assembling a world-class security team to protect our customers' data and earn their trust. Specifically, we need a Security Engineer who can help improve the security posture of our product and cloud infrastructure. What you will do Work with Engineering teams to help build secure products and infrastructure at scale Be the day-to-day security partner to teams across the company to conduct architecture reviews and threat models for systems being developed Secure multi-account & multi-cloud infrastructure for Sendbird Own product security and cloud security tooling and build automations Embed security tools into the CI-CD system for SCA, SAST, Container, and IAC scanning Identify security gaps and come up with solutions Research and identify new attacks against Sendbird’s products. Who you are Can manage complexity across time zones, technology stacks, and security issues. Collaborate with cross-functional teams Can connect the dots between security projects and policies with business objectives Accountable; taking responsibility of the systems and infrastructure under your oversight Effective project manager with the ability to influence without authority English proficiency at a conversational level required, business level preferred. What you bring to the table In-depth understanding and experience of CloudSec and Product Security, and comfortable with enterprise security, identity, and AI Experienced in securing AWS and GCP-based infrastructure at scale in a globally distributed software company Experience with Infrastructure as Code Experienced in working with and securing Kubernetes Experience with automation in Python Knowledge of security tools and platforms to enhance an organization’s security posture Proven capability in making sound, effective security decisions that allow an agile business to be secure and move quickly Experience leading complex cross-functional projects from start to finish and mentoring other security practitioners An ability to communicate ideas clearly and effectively to engineers who know way more than you about their code Bonus points Experience developing security tools Presenting at conferences and/or working on open source projects Our KR benefits include (but are not limited to): Silicon Valley's equity program (1-year cliff) Hybrid work policy, flexible work hours Be Your Best Self: 3.9 million won (prorated by start date) for expenses ranging from professional development classes and training, to personality assessments, to gym memberships, to books, to fitness classes, to mental health services, to massages Learn a Language benefit - up to 3.6 million won per year towards language lessons Weekly team lunch cost Monthly team-building cost Partial support for commuting costs Free parking at the Seolleung office Group insurance support that covers employees, spouses, and children Medical checkup support, including MRI and genetic testing - for the employee and one family member Seven additional paid holidays in addition to annual leave (Boost leave, Birthday leave, etc.) Support for the latest work devices, such as MacBook Pro (special support options for each job position) Unlimited snack bar filled with snacks, beverages, and instant noodles every day 12-week paid parental leave support (available for both mothers and fathers) Other support programs for congratulations and condolences Flexible Work Policy We offer a flexible work schedule at Sendbird. We also value collaboration and relationship building. With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum. Some of our roles require a more frequent in-office schedule. Please work with your manager to understand the office time requirements for your position. What diversity and inclusion mean to us There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you. Why Sendbird We're not in maintenance mode. We're rebuilding how businesses connect with their customers using AI, and we're moving fast. If you want to own something real, build things that matter, and work at a company that has the infrastructure, the data, and the conviction to lead this shift, this is the place. Sendbird is building the AI workforce of tomorrow, and we hire that way too. Learn more about our interview process, how we evaluate candidates, and the role AI plays along the way.

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Manage, develop, and mentor a fast-paced team of Support Engineers who respond to client requests, reproduce and troubleshoot issues, and dive into the 1000+ integrations that Datadog works with Ensure successful onboarding of new Support Engineers Help triage Support Engineering queues and work with Product and Engineering on urgent matters Review and help prioritize Support Engineering escalations, and follow up with customers in Korea Dispatch customer requests throughout the day as part of a queue rotation schedule Oversee demo training and assist in demo certification Assist with incident response during outages/incidents, communicating with customers and providing our internal teams with info that we’re getting first-hand from those customers Build out documentation and knowledge base articles for a variety of technologies Who You Are: Passionate about people management and/or mentorship with minimum 3 years of experience leading a team Curious, self-motivated, detail-attentive, and have a desire for continuous learning A critical thinker who defaults to a client-centric approach A tinkerer with some programming experience and a basic knowledge of Linux Business or native-level fluency in English and Korean (spoken and written) is required, as this role will communicate with cross-functional partners and external customers, locally and globally Able to work a rotating schedule that requires weekend availability Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits and Growth: Best-in-breed onboarding Generous global benefits Intra-departmental mentor and buddy program for in-house networking New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing An inclusive company culture, able to join our Community Guilds and Inclusion Talks Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

ABOUT AIRWALLEX Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles https://www.airwallex.com/en-us/operating-principles to see it in full. HOW YOU'LL MAKE IMPACT You’ll build and operate the infrastructure that powers Airwallex’s data and AI platforms. You’ll design highly available systems on Kubernetes and public cloud platforms, and develop scalable foundations for streaming, batch processing, and real-time workloads using technologies such as Kafka, Spark, and Flink. - Build and operate highly available data and AI infrastructure on Kubernetes and public cloud platforms. - Develop scalable foundations for streaming, batch processing, and real-time data workloads using technologies such as Kafka, Spark, and Flink. - Evolve AI infrastructure, including AI gateways, model-routing layers, traffic management, rate limiting, authentication, observability, and usage controls. - Deliver self-service capabilities that help data, AI, and application teams deploy and operate workloads safely and independently. - Partner across engineering disciplines to turn emerging data and AI requirements into durable platform capabilities. - Improve the scalability, reliability, and efficiency of our data and AI infrastructure, while reducing the operational effort required to deploy and manage workloads. This role is based in Seoul, South Korea. Address: Units 1006, Partners Tower, 83 Gasan digital 1-ro, Geumcheon-gu, Seoul, Republic of Korea, 08589 서울 금천구 가산디지털1로 83, 1006 호(가산동, 파트너스타워) WHAT WE'RE LOOKING FOR ESSENTIALS - 5+ years in DevOps, SRE, or platform engineering, owning production systems end to end. - Strong experience designing, operating, and troubleshooting production Kubernetes environments. - Experience building or operating distributed data infrastructure with technologies such as Kafka, Spark, or Flink, or experience developing AI infrastructure such as AI gateways or model-routing platforms. - Hands-on experience with at least one major public cloud platform, such as AWS, Google Cloud, or Microsoft Azure. - Strong knowledge of cloud and container networking, including DNS, load balancing, ingress, service discovery, TLS, routing, and network security. - Proficiency in one or more of Go, Python, or Java, with experience writing maintainable production software. - A solid understanding of distributed-systems concepts, including availability, consistency, fault tolerance, backpressure, and horizontal scalability. - Experience operating critical infrastructure using infrastructure-as-code, automated delivery, and modern observability practices. - Strong debugging skills and the ability to work methodically across multiple layers of a complex system. - Clear communication skills and a track record of collaborating effectively across engineering disciplines. - An ownership mindset: you identify important problems, drive them to resolution, and improve the underlying system rather than treating symptoms. PREFERRED - Platform engineering experience, particularly building internal developer platforms or paved-road workflows used by multiple engineering teams. - Hands-on experience with serving technologies such as SGLang, vLLM, or NVIDIA Triton Inference Server. - Knowledge of GPU scheduling, batching, model parallelism, memory management, autoscaling, and inference-performance optimization. - Experience improving the cost efficiency of large-scale data processing or AI inference workloads. - Contributions to infrastructure, data-platform, Kubernetes, or AI-serving open-source projects. YOU'LL THRIVE HERE IF - You're comfortable owning the roadmap yourself. - You own the outcome and you don't wait for permission to fix what's broken. - You're comfortable with ambiguity. Give you a problem, not a prescription, and you'll run with it. - You say what you mean. You're direct, but you lead with respect. - You connect dots across functions and hold the big picture without losing grip on the details. LEARN MORE ABOUT YOUR TEAM The Infrastructure & Productivity team at Airwallex builds the technical foundation that allows our global engineering organization to scale. Our customers are our fellow engineers, and our mission is to make their daily work faster, safer, and more effective by managing the core platforms everyone relies on, from Kubernetes and Kafka to CI/CD pipelines and observability systems. The real challenge lies in keeping these global systems highly reliable and secure while simultaneously optimizing cloud costs, automating manual support, and driving standardization without slowing down product delivery. We operate under the philosophy that best practices should be the path of least resistance, not a forced mandate. If you're a systems thinker who wants to work close to the core of the company and directly shape how we build, deploy, and scale software worldwide, this is where that work happens. APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com http://airwallex.com email address. Please apply only through careers.airwallex.com http://careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. EQUAL OPPORTUNITY Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

ABOUT THE TEAM & MISSION 42dot의 AI 인프라 엔지니어는 여러 데이터 센터에 걸쳐 있는 수천 개의 GPU를 관리하며, 이를 효율적으로 오케스트레이션하는 고성능 AI 인프라를 운영합니다. 세계 최고 수준의 컴퓨팅 환경을 유지하기 위해 확장성, 모니터링 및 운영 최적화 전반에 기여하게 됩니다. At 42dot, our AI Infrastructure Engineer manages the high-performance AI infrastructure orchestrating thousands of GPUs across multiple data centers. You will contribute to the scaling, monitoring, and operational optimization required to maintain a robust and world-class computing environment. RESPONSIBILITIES - Kubernetes 및 Slurm을 활용하여 여러 데이터 센터에 분산된 수천 개 규모의 대규모 GPU 클러스터 운영 및 유지 보수 - GPU 하드웨어 및 소프트웨어 스택 전반의 장애를 모니터링하고 진단하여 고가용성 유지 및 신속한 장애 복구 수행 - Python 또는 Shell을 활용한 자동화 도구 및 스크립트를 개발하여 반복적인 인프라 관리 업무를 효율화 - GPU 리소스 쿼터(Quota) 관리 및 ML 개발자를 위한 기술 지원을 통해 컴퓨팅 자원의 최적 활용 보장 - 대규모 자율주행 모델 학습을 위한 분산 학습 환경의 아키텍처 설계 및 성능 튜닝 참여 - Operate and maintain a large-scale GPU cluster consisting of thousands of GPUs across multiple data centers using Kubernetes and Slurm. - Monitor and diagnose failures across the GPU hardware and software stacks to ensure high availability and rapid recovery. - Develop automation tools and scripts using Python or Shell to streamline repetitive infrastructure management tasks and improve operational efficiency. - Manage GPU resource quotas and provide technical support to ML researchers to ensure optimal utilization of computing resources. - Participate in the architectural design and performance tuning of distributed training environments for large-scale autonomous driving models. QUALIFICATIONS - Linux 운영체제에 대한 깊은 이해 (커널 동작, 프로세스 관리, 시스템 보안 등) - Docker 및 Kubernetes 등 컨테이너 기반 기술 및 오케스트레이션 실무 경험 - TCP/IP, HTTP(S) 등 네트워크 기본 원리에 대한 이해 및 기초적인 네트워크 트러블슈팅 능력 - Python 또는 Shell을 활용하여 유지보수가 용이한 자동화/시스템 관리 스크립트 작성 역량 - 복잡하고 거대한 시스템에서 근본 원인을 찾아 해결하는 논리적인 문제 해결 능력 - 다양한 유관 부서 및 파트너와 원활하게 소통할 수 있는 커뮤니케이션 역량 - Strong proficiency in Linux operating systems, including a solid understanding of kernel operations, process management, and system security. - Practical experience with containerization technologies (Docker) and orchestration (Kubernetes), including building, managing, and troubleshooting containerized environments. - Solid understanding of networking fundamentals, including TCP/IP and HTTP(S), with the ability to perform basic network troubleshooting. - Ability to write clean and maintainable scripts in Python or Shell for automation and system administration. - Logical approach to problem-solving with the persistence to identify and resolve root causes in complex, large-scale systems. - Strong communication skills to effectively collaborate with cross-functional teams and external partners. PREFERRED QUALIFICATIONS - Prometheus, Grafana, Datadog 등을 활용한 대규모 클러스터의 관측성(Observability) 스택 구축 경험 - AWS, GCP 등 퍼블릭 클라우드 플랫폼 상의 인프라 구축 및 운영 경험 - 드라이버, CUDA, NCCL 등을 포함한 NVIDIA 가속 컴퓨팅 스택에 대한 지식 - ML 모델 학습 라이프사이클 및 PyTorch, TensorFlow 등 딥러닝 프레임워크에 대한 이해 - Kubernetes 또는 Slurm과 같은 대규모 워크로드 매니저 및 리소스 스케줄링 도구 활용 경험 - Terraform 등 Infrastructure as Code(IaC) 도구를 활용한 복잡한 인프라 관리 경험 - Experience in building observability stacks with Prometheus, Grafana, and Datadog for large-scale clusters. - Experience in building or operating infrastructure on public cloud platforms such as AWS or GCP. - Knowledge of the NVIDIA accelerated computing stack, including drivers, CUDA, and NCCL. - Familiarity with the ML model training lifecycle and deep learning frameworks such as PyTorch or TensorFlow. - Experience with large-scale workload managers or resource scheduling tools such as Kubernetes or Slurm. - Familiarity with Infrastructure as Code (IaC) tools such as Terraform to manage complex infrastructure. INTERVIEW PROCESS 1. 서류 전형 2. 온라인 기술 테스트 3. 1차 면접 (화상, 1시간 내외) 4. 2차 면접 (대면 혹은 화상, 3시간 내외) 5. 처우 협의·입사 1. Application Screening 2. Coding Test 3. First Interview (Virtual, approximately 1 hour) 4. Second Interview (In-person or Virtual, approximately 3 hours) 5. Offer Discussion / Onboarding ADDITIONAL INFORMATION - 전형 절차는 일정 및 진행 상황에 따라 일부 변경될 수 있으며, 각 전형 결과는 등록하신 이메일로 개별 안내드립니다. - 지원서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다. - 지원서 접수 중 오류가 발생하거나 기타 문의 사항이 있을 경우, recruit@42dot.ai로 문의해 주시기 바랍니다. - 국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다. - 장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다. - 42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다. - 지원서 내용 중 허위 사실이 발견될 경우, 입사가 취소될 수 있습니다. - 인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다. - 3개월의 수습기간이 적용될 수 있습니다. - The recruitment process may change depending on schedule and progress; the result of each stage will be sent individually to your registered email. Please do not include legally prohibited information in your application (e.g., ID number, family relations, marital status, salary, photo, physical details, hometown). - For application errors or inquiries, contact recruit@42dot.ai. - Veterans and applicants eligible for employment protection will receive preferential consideration in accordance with applicable laws and regulations. - In compliance with the Act on Employment Promotion and Vocational Rehabilitation for Persons with Disabilities, registered individuals with disabilities will receive preferential consideration. - 42dot does not accept unsolicited resumes from search firms. We will not pay any fees for resumes submitted without prior agreement. - False information in your application may result in offer cancellation. A reference check may be conducted after the interview process, with your consent. - A 3-month probationary period may apply.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Key responsibilities Partner with account executives across South Korea to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers across South Korea throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences across South Korea. You will need to be able to run the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers across South Korea integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Minimum qualifications Experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Native-level Korean fluency and business-level English required Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Preferred qualifications 5+ years of relevant experience Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Moloco: Moloco is an AI-native performance advertising company, bringing the power of AI advertising to the open internet. Founded in 2013 by machine learning engineers who had built AI advertising systems inside the world's largest technology companies, Moloco began from a shared mission: to build that same engine for the open internet. Today, Moloco is one company with two businesses, built on the same compound AI system. Moloco Ads is our AI-native performance advertising platform, helping mobile app marketers acquire, retain, and re-engage high-value users across the open internet. Moloco Commerce Media is our AI-native retail media platform, enabling retailers and marketplaces to turn their platforms into thriving ad businesses. Both are powered by CARA (Compound Ad Recommendation Architecture) , the AI system behind every Moloco product. At Moloco, we bring together those who've already solved hard problems and those with the drive to. Here, we work on some of the complex problems in AI advertising, at a scale and level of sophistication very few companies can offer. Come build what's next. Please submit both your resume and cover letter. Why this role exists: Drive ambiguous signals to defensible root cause. A KPI regression. A lift number that looks too good. An unexplained cost increase. A model that quietly degraded after an upstream data change. You will trace it across the model, the data pipeline, the auction, and the serving stack — and be right. Ship the fix. A new feature, a reformulated objective, a recalibrated model, a changed bidding policy, or a correction upstream in the data. You own it through launch and through the readout afterward. Design evaluation that survives scrutiny. Online experiments and offline evaluation in a setting where auctions are non-stationary, treatment and control interfere with each other, and conversions land days late. Leave behind methodology, not just results. Tooling and frameworks that let other teams answer the next version of the question without you. Communicate to people who will act on it. ML engineers, infrastructure, product, and the account teams sitting across from advertisers. What we're looking for? Required Ph.D. in computer science, statistics, operations research, economics, or a related quantitative field, plus 2+ years of industry experience — or 5+ years of industry experience solving large-scale ML, optimization, or systems problems without one. Strong applied statistics and causal reasoning: experiment design, working with confounded observational data, and the judgment to recognize when a result is not real. Fluency in Python and SQL against large datasets (Spark, BigQuery, or equivalent). You can get your own data without waiting on anyone. Experience owning a model or algorithm in production — including what happened to it after launch. Clear written English. A large share of this role's impact takes the form of a document that changes what a team decides to do. Strongly Preferred - any of Ads, recommendation, search ranking, marketplaces, or another domain with real-time auctions or bidding. Probability calibration, delayed feedback, or selection bias in logged-bandit data. CTV, attribution modeling, or incrementality measurement. PyTorch or TensorFlow applied to tabular or sequential production data at scale. Senior vs. Staff Both are individual-contributor roles. Level is decided at offer, based on demonstrated scope rather than years served. Senior — in the last 12–18 months you have: Taken a project from an ambiguous problem statement to a shipped, measured change in production. Made the calls yourself on what to investigate and, just as importantly, what to drop. Made at least one teammate measurably better through review, pairing, or mentorship Staff — all of the above, plus: Led work that spanned multiple teams or systems, where no single team owned the problem. Changed what your organization chose to work on, on the strength of analysis you produced. Left behind a method, framework, or standard that other people now use by default. Represented technical trade-offs directly to non-technical stakeholders, and been trusted to do it. This role is probably not for you if you are looking for a purely offline research position, or you prefer to hand a model to an engineer and move on to the next paper. Supporting Your Best Work and Your Best Life: Our benefits are designed to support our people in doing their best work and living well, at work and beyond. Benefits vary by country, employment type, and eligibility. Connect with a recruiter to learn more about benefits in your region. Moloco Values: Lead with Humility: Everyone’s voice is respected, valued, and heard. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible. Create Real Value: We pursue the most impactful opportunities with intensity and rigor. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We’re one team working towards one vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom AI Use in Interviews Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice .

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Support Engineer at GitLab, you'll sit at the intersection of Support and Engineering, helping customers solve complex, real-world challenges while running GitLab in diverse and demanding environments. You'll join the Engineering department and work directly with customers as they encounter edge cases. You'll dig into Linux systems, logs, and our Ruby on Rails codebase to troubleshoot performance issues, reproduce bugs, and contribute merge requests that fix problems at the source. You'll also improve our documentation, refine support processes in our issue tracker, and collaborate closely with Product, Development, Infrastructure, Customer Success, and Sales so customer feedback directly shapes our roadmap. In your first year, you'll build deep expertise across a range of GitLab implementations, strengthen our ability to keep customers productive on both self-managed GitLab and GitLab.com software as a service, and help create tools and content that make support more efficient and effective for the entire team. Some examples of our projects: A tool to automatically check a GitLab Omnibus install for known issues A solution to capture the state of a customer’s server for easier troubleshooting A tool which turns log files into interactive tables to easily sort and filter columns A ChatOps feature that makes it easier to identify user accounts on GitLab.com What you’ll do Act as an escalation point for difficult customer interactions and lead the resolution of complex issues through Zendesk tickets, merge requests, email, and video calls. Mentor and guide teammates on complex troubleshooting and customer communication through pairing sessions and cross-team collaboration. Advocate for and drive improvements to support practices, product quality, and reusable documentation and support content that directly influence team objectives. Collaborate with Product, Development, Infrastructure, Customer Success, and Sales teams to shape product goals, roadmaps, and priorities while driving fixes and new features. Participate in regular weekday and weekend on-call rotations during daytime hours, providing emergency support for self-managed GitLab and software as a service customers and coordinating incident communications with the GitLab.com Production team. Participate in hiring by reviewing applications and assessments and joining interviews to help grow the Support team. What you’ll bring Experience owning complex, customer-facing technical cases from initial contact through triage, reproduction, bug reporting, resolution, and clear customer communication, including difficult or escalated interactions. Strong experience with Linux systems administration, scripting, Git, and continuous integration and continuous delivery in production or customer environments, with the ability to investigate issues at both the infrastructure and application levels. Ability to mentor teammates on complex troubleshooting and customer communication through pairing sessions, case reviews, and cross-team collaboration. Experience collaborating with Product, Engineering, and Sales teams to turn customer feedback into product fixes, feature improvements, and roadmap priorities. Familiarity with DevOps practices and technologies such as Kubernetes and serverless computing, and an understanding of how different GitLab implementations operate and affect customers. Demonstrated ability to learn, collaborate across teams, and apply transferable skills from related technical support or engineering roles. Fluent Korean language skills (required) About the team We're a globally distributed group of Support Engineers across the Americas, Europe, the Middle East, and Africa, and Asia-Pacific. We work asynchronously and stay connected through pairing sessions, one-on-one meetings, coffee chats, and Slack. We structure our shifts to support our personal lives while meeting customer needs. Thanks to GitLab’s transparency value, you can see what we are working on and how we operate on our Support Team page . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Match Group AI (MG AI) is the central tech organization that drives innovation across Match Group's global portfolio, including Tinder, Hinge, Azar, Pairs, Match, BLK, and more . Match Group aims to spark meaningful connections for everyone, worldwide, and the MG AI team's role is to apply cutting-edge AI to some of the hardest challenges along that journey, across diverse domains (e.g., Recommendation, Trust & Safety, Profile Enhancement). Unlike brand-specific teams (e.g., Tinder, HYPERCONNECT AI), the MG AI team offers a unique opportunity to impact the entire Match Group ecosystem. You won't just build for one app; you'll help develop scalable AI solutions that power Tinder, Hinge and beyond, defining the technological gold standard for the global dating industry. Detailed article: Introduction to Match Group AI Team (written in Korean) ML Engineers at MG AI own the model and the metric it optimizes. You turn broad product goals and data into ML problems worth solving, build the models that address them, and measure their impact. Your responsibility covers the decisions around the model as much as the model itself. You choose the optimization target that translates into business results, design how the training data behind that target is collected and processed, and set the online and offline evaluation criteria that determine whether the model solved the problem. You will work across a wide range of ML problems, and the problems change as the products and the technology do. Recent examples from the team: Utility modeling: Move beyond event prediction (whether a user will like another user, whether a user will report someone) to model the utility each event delivers to users and to the system, and optimize for the utility of the system as a whole. Cold start and data scarcity: Build models that work when data is missing or thin — prototyping stages, privacy constraints, rare events — and design the loop that collects the data those models need next. LLM and agentic systems: Leverage LLMs and agentic systems in Recommendation, Trust & Safety, and Profile Enhancement, both as products in their own right and as a way to raise the performance of existing models. Generative model evaluation: Define evaluation metrics for generative models that connect to business outcomes and that the model can be optimized against. Our engineers also publish selected technical work on the Hyperconnect Tech blog (written in Korean). How to Set ML Objectives How Hyperconnect Built an LLM Explanation Policy LLM-as-a-Judge for Explanation Quality You own ML projects end-to-end. You work alongside other ML Engineers and carry projects from a rough goal through launch and measurement. Shape the Problem: You are given the goal in broad terms. You make it concrete: what problem the project actually solves, what falls outside it, and what technical direction it takes. Define What Success Means: Translate the goal into a metric a model can optimize, and define the online and offline evaluation criteria that determine whether the target metric improved. Design the Model and the Data Behind It: Choose the modeling approach that fits the problem and the metric you are optimizing. Design how training data is collected, processed, and fed back, so that user behavior in production becomes the data that improves the next model. Collaborate Across Teams: Work with engineers, product partners, and brand counterparts across Match Group's global offices — Seoul, Palo Alto, LA, Vancouver, Dallas, Tokyo. Keep partners outside your project team informed, and surface blockers early enough for the team to address them. Project Ownership (most important): Demonstrated experience owning an ML project end-to-end, including planning and coordinating the work required to deliver a measurable result. Depth in AI/ML: A solid foundation in AI/ML with deep knowledge in at least one domain, backed by project experience in which you applied it. Problem Definition and Technical Judgment: You turn a business and technical goal into an ML problem that can be solved and measured, and you make reasonable technical choices when the information is incomplete. Data Literacy: You use exploratory data analysis to find the statistical properties and patterns in the data, and let what you find shape how you approach the problem. ML Frameworks and Tooling: Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX, and the ability to pick up new AI/ML tools quickly as the field moves. Cross-Functional Collaboration: Experience working on projects with people from other functions, and the ability to keep stakeholders outside the project aligned on its progress, key decisions, and risks. Professional Working Proficiency in English: Able to conduct business meetings and participate in complex discussions without requiring assistance. Fluent in Korean: Sophisticated professional interactions with native-level precision. Essential for cross-functional collaboration within the Seoul office. Global Operational Readiness: Ability to accommodate flexible working hours for regular early morning syncs with US teams (ET/PT). Research Track Record: Publications at top-tier AI/ML venues (NeurIPS, ICLR, ICML, ACL, RecSys, KDD, CVPR) or awards in related competitions. Problem Discovery and Initiative: Experience identifying a problem or research direction on your own, without one being handed to you, and carrying it through to a paper or a business result. Experimentation and Causal Analysis: Designing A/B tests, defining target KPIs, and using causal analysis and SQL-based analysis to turn data into decisions. ML Systems Engineering: Software engineering capability to build the AI/ML systems around your models, such as training pipelines and serving systems. Leading Projects Across Functions: Experience leading a project that spans multiple functions, and working with stakeholders and leadership outside the project team. Fluent in English: Sophisticated professional interactions with native-level precision and an understanding of cultural nuances. Work type: Full-time Legal Entity: Hyperconnect / Brand: Match Group AI Recruitment Process: Resume Review > Live Coding Interview > Hiring Manager Interview > Technical Interview > Technical Deep-dive & Cultural Alignment Interview > Offer (* Please note that part of the interview process may be conducted in English) For the document screening stage, only successful candidates will be individually notified of the results. Application documents: A detailed, career-based English resume (PDF) in free format This position is open to candidates seeking to transfer as Alternative Military Service Researchers (전문연구요원). For those under this program, service management will be conducted in accordance with the relevant military service exemption laws. #LI-YN1 제출해 주신 내용 중 허위 사실이 있거나 관련법 상 근로제공에 결격사유가 있는 경우 채용이 취소될 수 있으며, 필요시 사전에 안내된 채용 절차 외에도 추가 전형 및 서류 확인이 진행될 수 있습니다. 국가보훈대상자는 관계 법령에 따라 우대하오니, 해당되시는 분께서는 지원 시 고지해주시고 채용 시 증빙서류를 제출해주시기 바랍니다. 하이퍼커넥트가 채용하는 포지션에 지원하는 경우, 개인정보 처리에 관하여서는 본 개인정보처리방침이 적용됩니다: https://career.hyperconnect.com/privacy #HPCNT

CSQ427R39 At Databricks, we aim to inspire our customers to make informed decisions through an intuitive platform. As a PS Technical Program Manager, you lead the success of a portfolio of complex programs and drive the continuous evolution of our delivery excellence. You are a senior leader within the PS practice, entrusted with high-visibility, large-scale engagements. Your focus is on delivering superior results and setting the standard for how we empower our customers to achieve their most ambitious data goals. This is a hybrid role based in Korea. You will be reporting to Director, Professional Services/FDE. The Impact You Will Have Portfolio Success : Own and lead a portfolio of highly complex, high-visibility programs, ensuring they remain perfectly aligned with strategic customer objectives. Operational Excellence : Drive innovation and efficiency across the PS team to deliver increasingly better results for the Business Unit. Strategic Alignment : Proactively coordinate technical milestones and program-level dependencies across multiple concurrent engagements. Leadership Hub : Act as the primary lead for complex technical delivery discussions, collaborating with M5-level managers to ensure rapid and successful project momentum. Mentorship : Elevate the entire team by mentoring junior TPMs and refining delivery processes to scale our global impact. What We Look For Experience : 5–8 years managing complex technical programs. Technical Bar : Intermediate technical fluency; 1 Databricks Associate-level Certification required within 6 months of hire. AI Proficiency : Demonstrated ability to integrate AI tools into program management workflows to drive operational performance. Process Innovation : A track record of enhancing delivery standards and implementing changes that improve operational performance. Mandatory Certifications : PMP Certification (Project Management Professional) required within 6 months of hire. Language Proficiency: Native-level fluency in Korean and professional working proficiency in English (both written and verbal). About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

As Datadog’s in-house product experts, the Technical Escalation Engineering (TEE) team plays a critical role in driving our global success. We enable our customers, from the world’s most innovative startups to the largest enterprises. Through deep technical expertise, relentless problem-solving, and exceptional customer engagement, we educate, guide, and troubleshoot, delivering high-impact solutions that shape the customer experience. Whether through hands-on technical call, in-depth fact findings meeting, or complex investigations, we set the gold standard for technical excellence and customer advocacy. As part of our TEE team, you’ll tackle the most challenging technical problems, collaborate directly with Engineering and Product to refine and evolve our platform, and mentor teams worldwide, elevating the technical bar at every level. As part of the Technical Escalation Engineering (TEE) team, you’ll operate at the heart of Datadog’s ecosystem, working at the intersection of Technical Solutions, Engineering, Product, and our Customers. Every challenge you take on will directly impact the performance, scalability, and success of both our clients and our platform. You’ll be in an environment that moves fast, challenges you daily, and rewards curiosity, ownership, and technical excellence. This is your chance to shape the future of observability and security, driving innovation, mentoring teams, and influencing product direction while witnessing your expertise make an immediate and lasting impact. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Become the expert on usage metering, revenue-impacting behavior, and Cloud Cost Management within Technical Solutions, helping customers optimize usage and control spend across all Datadog product lines. Lead escalations involving unexpected usage, missing metering data, usage spikes, billing anomalies, unclear attribution, or limits enforcement (e.g., quotas, plans, exclusions, overages). Partner closely with Product, Engineering, and Finance to escalate bugs, align on expected behavior, improve usage visibility, and drive transparency and fairness in billing and usage tracking. Build internal guides, tooling, diagnostics, and playbooks — plus customer-facing content — that help teams confidently handle billing- and revenue-related questions and forecast, reduce, and monitor observability costs. Enable the global Solutions team by running training sessions and building scalable resources that empower others to support usage, billing, and cost-related conversations effectively. Act as a voice of the customer, surfacing feedback and patterns to help shape the roadmap for usage visibility, billing transparency, and cost management. Who You Are: Curious and detail-oriented when it comes to how usage is measured, attributed, and billed across products — including usage limits, overages, metering discrepancies, plan entitlements, and customer contract constraints. Passionate about helping customers optimize their cloud footprint, with a strong grasp of cloud cost drivers, usage attribution, and spend analysis. Familiar with cloud billing models (AWS, Azure, GCP) — usage types, tags, accounts/projects — and how that data is exposed via APIs and billing exports. Comfortable digging into data retention, high-cardinality signals, metric volume, log ingestion, and overage prevention, and able to translate telemetry volume into cost impact. Familiar with APIs, product usage metrics, tagging strategies, and the nuances of account-level configurations and multi-org setups. Experienced working across technical and business boundaries — equally comfortable with backend telemetry pipelines and customer-facing impact and urgency. Analytical and precise, able to communicate usage and cost impact clearly to both technical and non-technical stakeholders. Comfortable working with ambiguity, data anomalies, and edge cases, and committed to finding root causes that drive customer trust. Datadog values people from all walks of life. We understand not everyone will meet all the below qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Bonus points Computer Science or Engineering majors Experienced in using Zendesk, Jira, Confluence, or similar softwares. Familiarity with Datadog, integrations ecosystem, or similar observability platforms is a strong plus. Datadog values people from all walks of life. We understand not everyone will meet all the below qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits & Growth: Product training to develop an in-depth understanding of our product and space Continuous career development and pathing opportunities for internal mobility Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Free global mental health benefit through Spring Health Generous global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Forward Deployed Software Engineer New Grad Role Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir’s operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer’s reality until the problem is theirs. This requires walking many miles in a customer’s shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is “How do we predict and mitigate wildfire risks across a power grid?” or “How can we analyze and adapt a global supply chain to deliver critical parts on time?” You’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact.act. Core Responsibilities To solve mission-critical problems by deploying software and AI into the high stakes operations of the world’s leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: Collaborate with engineers to make architecture and design decisions Wrestle with data at a scale that breaks assumptions and demands invention Build custom applications, LLM workflows, and production solutions engineered for a specific customer's reality Own relationships with stakeholders from the users in the weeds to the executives making the calls As a New Grad, you will be entrusted with responsibility on day 1. You will not be handed a ticket queue. You will not be shielded from the customer, the chaos, or the consequences. FDEs are entrusted with real ownership, operating with real autonomy, and held to a real standard, no matter their tenure. The drive to solve your customer’s problem. This can translate to: Going where you’re needed most — Embed where and when it matters. Expect 25–50% travel, depending on team and location. Agency — You learn continuously, make decisions with incomplete information, and don't wait to be told what to do next. Embracing the ambiguity — You operate effectively in teams that mix technical and non-technical people, in environments where the objectives shift, the users push back, and the solution demands iteration. Intrinsic motivations — You solve hard technical problems (data structures, storage systems, cloud infrastructure, front-end frameworks) not because you were assigned to, but because that's what it takes to achieve your outcomes. Ruthless goal orientation — You do not operate within a product’s existing boundaries and limitations. You push past them, rewrite them, or discard them entirely. Ability to read, write, and speak fluent business Korean and English. Engineering degree, preferred in fields such as Computer Science, Electrical and Computer Engineering, Mathematics, Software Engineering, Physics, and Data Science. Proficiency with one or more programming languages, such as Python, Java, C++, TypeScript/JavaScript, or similar. Must be graduating in 2026 or 2027. An updated resume / CV in PDF format. A 3-minute response to our application video prompt. Offer Deadline In an effort to build more transparency into our recruitment process, we’d like to share our offer deadline expectations. By applying to this position, you commit to confirming your decision within two weeks of receiving your written offer. Life at Palantir We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3).

Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played video game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. Riot Engineers bring deep expertise in specific technical areas while embracing opportunities to work across broader domains. As a Manager, Software Engineering, you’ll lead from the front — working alongside your team through every phase of the software development and operations lifecycle. You’ll combine hands-on technical leadership with mentorship and coaching to drive both team growth and product excellence. As the Manager, Software Engineering , in the Publishing Platform’s Publishing Engagement team, you’ll lead the engineers who design, build, and operate platform services that enable game content delivery and power player-facing experiences across and beyond games. You’ll partner with game developers across Riot, central technology groups, and legal and business teams in Korea to make smart decisions, maintain a high quality bar, and operate efficiently in service of players in Korea and around the world. Your deep understanding of technical systems and engineering workflows will help shape how the team builds, operates, and scales our services. You’ll participate in key technical decisions, guide documentation and process improvements, and coach engineers to deliver cohesive, multi-platform experiences that power all of Riot’s games. Your leadership will enable the team to operate with clarity, discipline, and agility — staying aligned and delivering lasting impact for players. You will report to the Sr Manager, Software Engineering, who oversees multiple teams under the Meta Game Services initiative. Responsibilities: Team Leadership & People Management Manage a team of 4–5 Software Engineers; coach, mentor, and support their growth while driving strong performance and positive results Own the interviewing and onboarding process for new engineering team members Build healthy relationships with engineering/QA teams across Riot globally to foster collaboration and shared learning Technical Leadership & Hands-on Involvement Stay hands-on with the team’s technology, overseeing technical design and deliverables in partnership with the team’s technical leadership Engage regularly with the codebase through reviews and non-critical contributions to stay close to the team’s work Drive the technical vision and roadmap by collaborating closely with engineers — contributing to design reviews, aligning priorities, and ensuring the right people and skills are in place to deliver results Maintain accountability for the technical health and long-term sustainability of the team’s products Execution & Cross-functional Collaboration Lead the breakdown and execution of multi-month projects, partnering across disciplines and other engineering teams to deliver impactful outcomes Collaborate with Product Leads, Delivery Leads, and Engineering/QA Leads within the team and across Meta Game Services and Publishing Platform to align on execution plans and priorities Align with service teams within Meta Game Services and across the Publishing Platform organization to drive consistency in tech standards, tooling, and best practices Required Qualifications: Bachelor's or Master’s degree in Computer Science or a related field, or equivalent professional experience 5+ years experience as a Software Engineer, including hands-on experience delivering live or shipped web applications 2+ years experience directly leading an engineering team either as an Engineering Manager or Technical Lead Deep front-end expertise with TypeScript/Javascript, React, CSS-in-JS, and modern frameworks like Next.js Extensive back-end experience with Java and Spring Boot, combined with strong fundamentals in software engineering (data structures, algorithms, concurrency, OOP) and experience designing scalable systems using RESTful APIs, event-driven microservices, and modern web architecture patterns Proven track record of improving engineering discipline — driving better documentation, thoughtful tech design processes, and structured proposals for technical improvements, with a strong understanding of the full product lifecycle from design to deployment and operations, and the ability to apply MVP principles effectively Able to clearly communicate technical concepts and decisions across disciplines, helping align engineers, designers, and product managers Experience managing engineers and actively participating in their growth and development Experience recruiting candidates and growing an engineering team Experience with distributed systems, microservices, and software at a high scale Experience operating and maintaining live services, including handling emergent issues and on-call troubleshooting Fluency in Korean and professional working proficiency in English, as the position involves being based in Seoul while engaging with global teams across Riot Desired Qualifications: Experience developing using cloud infrastructure (such as AWS, GCP), using containers and orchestration (such as Docker, Kubernetes), managed using infrastructure as code (such as Terraform) Experience with CI/CD pipelines (such as GitHub Actions, Jenkins, Netlify) Experience with relational databases (such as MySQL) Experience with event driven architectures and technologies (such as Kafka) Don’t forget to include a resume and cover letter. We receive a lot of applications, but we’ll notice a fun, well-written intro that shows us you take play seriously.

ABOUT THE TEAM & MISSION 42dot은 카메라 기반의 End-to-End 방식 자율주행 소프트웨어와 더불어, 대규모 언어 모델(LLM) 기반의 차량용 AI 에이전트인 Gleo AI를 개발하여 차세대 모빌리티 경험을 혁신하고 있습니다. 42dot의 자율주행 기술 'Atria AI'는 2027년 말 레벨2+ 자율주행 기술이 양산 차량에 적용될 예정이며, 'Gleo AI'는 차량 환경에서 사용자의 음성과 문맥을 이해하고 자연스러운 대화형 인터랙션을 제공하는 Agentic AI로 탑재되고 있습니다. 카메라 기반 End-to-End 자율주행 및 VLA 기반 차세대 알고리즘, AI 에이전트 기술을 직접 경험하고 기여할 수 있는 기회! 끈질긴 집요함과 빠른 실행력으로 세상을 바꿀 인재를 기다립니다. ROLE OVERVIEW 본 포지션은 정규직 전환형 Intern (MS/PhD) 으로, 자율주행(AD) 및 차량용 AI 에이전트(Gleo) 연구 결과를 실제 양산 시스템으로 연결하는 실전형 연구·개발 인턴십입니다. 인턴십 기간 동안 단순 보조 역할이 아닌, 양산을 목표로 한 제품 개발 및 차세대 모빌리티 기술 연구조직 내에서 실차 데이터와 프로덕션 레벨의 코드, MLOps 시스템을 기반으로 문제를 정의하고 해결합니다. 정규직 엔지니어와 동일한 수준의 기술 과제를 End-to-End로 수행하며, 연구와 실제 양산 시스템을 연결하는 경험을 제공합니다. WHAT YOU'LL DO - 자율주행 시스템 및 AI 에이전트 핵심 기술에 대한 설계, 구현, 검증까지 End-to-End 수행 - 실차 데이터 기반 자율주행 알고리즘/모델 설계 또는 LLM 및 음성 AI 기반 에이전트 모델 설계 및 검증 - 시뮬레이션 및 실도로(차량 내 환경) 실험을 통한 성능 분석 및 개선 - 연구 결과를 실제 시스템에 적용 가능한 형태로 구현 - 실제 프로덕션 팀과의 긴밀한 협업을 통한 문제 해결 AVAILABLE TRACKS 최종 소속과 업무는 인턴십 및 인터뷰 과정에서 확인된 개인의 전문성, 연구 관심사 및 성장 방향과 조직별 니즈를 종합적으로 고려하여 결정될 예정입니다. [Computer Vision] - 자율주행 관련 3D perception model 개발 및 학습 데이터 / GT 분석 - 실차 주행 로그 기반 perception failure 분석 및 개선 방향 도출 - Representation learning을 위한 self-supervised learning 기반의 pre-training pipeline 개발 - 효율적인 3D vision을 위한 architecture 개선 [Physical AI] - Imitation Learning, Reinforcement Learning, Generative AI 등을 활용한 자율주행 E2E Planning Model 개발 및 실험 - E2E Planner와 Simulation 및 실제 차량 시스템 간의 연동 기능 개발 - Simulation과 실제 차량 환경에서 시나리오 및 평가 지표를 기반으로 모델 성능을 검증하고 실패 사례 분석 [LLM Training / Data Generation] - LLM 학습 및 고품질 학습 데이터 생성·관리 - Synthetic Data Generation 및 자동 데이터 생성 파이프라인 개발 - 다양한 차량 환경 정의 및 Environment Scaling 기반 데이터 확장 - LLM Agent 성능 향상을 위한 학습·평가 파이프라인 개발 INTERVIEW PROCESS 1. 서류 전형 2. 코딩 테스트 3. 1차 면접 (화상, 1시간 내외) 4. 2차 면접 (대면 혹은 화상, 3시간 내외) 5. 처우 협의·입사 ADDITIONAL INFORMATION - 본 포지션은 채용 연계형 인턴십으로, 인턴십 평가 결과에 따라 정규직 전환 여부를 검토합니다. - 인턴십은 3개월간 운영되며, 해당 기간 동안 full-time 근무를 원칙으로 합니다. - 정규직 전환 시에는 인턴십 종료 후 1개월 이내 입사가 가능해야 하며, 조정이 필요한 경우 별도 협의를 통해 결정할 수 있습니다. - 석사·박사과정 졸업 예정자 및 기졸업자, 또는 경력 1년 미만의 인원에 한하여 지원할 수 있습니다. - 이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보 및 학교 또는 연구실의 연구 비밀을 침해하는 내용이 없도록 유의하시기 바랍니다. - 모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.) - 인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다. - 장애인/보훈대상자는 관련 법령에 따라 우대합니다. - 해외 국적자의 경우, 체류 자격 상 정규직 입사가 가능한 분을 대상으로 합니다. - 제출한 지원서에 허위 사실이 포함된 경우, 합격이 취소될 수 있습니다.

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing ecommerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Job Overview Fulfillment Optimization (FO) owns the systems that decide how every Coupang order is planned, distributed, and fulfilled. Our Tier-1 services sit on the critical path of every purchase decision and order across Korea and Taiwan. The platform has scaled to support Coupang's growth and requires continued investment in architecture, operational excellence, and team development to meet the next order of magnitude in scale, accuracy, and configurability. The FO platform comprises interconnected services that together handle the full fulfillment lifecycle -- from real-time order planning and cost optimization, through inventory management and warehouse orchestration, to simulation and workflow automation -- across a polyglot stack (Kotlin, Python, Java) serving Korea and Taiwan. The Role We are looking for a Director of Engineering to lead Coupang's Fulfillment Optimization organization globally. You will own the technical vision, execution roadmap, and people leadership for the FO platform across Seoul and India. This role combines deep technical ownership of production-critical Tier-1 systems with the organizational leadership required to build, scale, and retain a high-performing engineering team across multiple geographies. You will partner closely with Product, Data Science, and Operations leadership to drive fulfillment optimization outcomes that directly impact customer experience, cost efficiency, and operational scalability across Korea and Taiwan. Why This Role Matters The leader in this role will directly influence how millions of orders are fulfilled every day. Every architectural decision — solver latency, pruning strategy, inventory consistency, network cost modeling — impacts customer trust, delivery speed, and operational cost across Coupang's entire ecommerce platform in Korea and Taiwan. This is a rare opportunity to lead a platform organization at the intersection of large-scale distributed systems, real-time optimization, and ecommerce fulfillment — with direct, measurable impact on Coupang's customer experience and bottom line. You will own both the technology and the team, with the autonomy to define the architecture, set the engineering culture, and build the organization that delivers it. Key Responsibilities Lead and drive architecture design of FO systems for scale, future extensibility, and reliability — setting the technical direction for order planning, fulfillment optimization, inventory allocation, and network cost management across all FO platform components. Envision and drive alignment with stakeholders on the appropriate roadmap and future direction of technology for Fulfillment Optimization — translating business objectives (PDD rationalization, CFCC consolidation, multi-market expansion, cost optimization) into technical execution plans. Navigate and alleviate technical obstacles and blockers at the organizational level — driving cross-team alignment across FO, Promise, WMS, Supply Chain, and Operations teams. Decompose complex problems into simple, straightforward solutions, providing mechanisms for the teams to prioritize ruthlessly and "move with urgency." Own the architecture, development, testing, deployment, and delivery of large-scale global software applications, systems, platforms, services, and technologies powering Coupang's fulfillment optimization across Korea and Taiwan. Drive reliability and operational excellence for mission-critical Tier-1 services — circuit breakers, graceful degradation, observability, capacity planning, and incident prevention for systems with strict P99 latency SLAs. Ensure high quality design reviews which meet business and architectural goals and drive critical feedback on architecture and design issues across distributed systems involving gRPC service meshes, Kafka event pipelines, CPLEX optimization solvers, and multi-layer caching. Build, mentor, and retain a high-performing engineering team across Seoul and India — hiring senior engineers and managers, developing engineers through career stages, establishing engineering culture, and creating an environment where top talent wants to stay and grow. Participate in strategic planning to achieve technical and business goals with team, leadership chain, and with customers — partnering with Product, Data Science, and Operations to translate fulfillment optimization goals into measurable outcomes. Basic Qualifications 10+ years of experience working directly within engineering teams in a fast-moving environment. 10+ years of experience in developing and operating backend services and web applications. 7+ years of experience architecting and designing (architecture, design patterns, reliability, and scaling) of new and current systems. 5+ years of experience leading and managing engineering teams, including manager-of-managers experience, hiring, performance management, career development, and building team culture across multiple locations. Experience building complex, high-performance, and highly available distributed software systems with strict latency and reliability requirements (sub-100ms P99, 99.95%+ availability) that have been successfully delivered to customers. Strong technical depth in JVM backend systems (Java, Kotlin) — ability to review architecture, evaluate technical proposals, and make build-vs-buy-vs-migrate decisions. Extensive experience in managing mission critical Tier-1 services with high throughput and low latency — including circuit breakers, graceful degradation, observability, capacity planning, and incident management. Experience with event-driven architectures using Kafka at scale — stream processing, event sourcing, exactly-once semantics, consumer group management. Experience in system design — API design, domain modeling, data modeling, caching strategies (Redis, in-memory, S3-backed), messaging patterns, service-to-service communication (gRPC, REST). Experience in collaborating with cross-functional teams to define mission, vision, and roadmaps. Experience partnering with product, data science, and program management teams. Proven track record of managing distributed/remote engineering teams across time zones and geographies. Preferred Qualifications Experience in ecommerce fulfillment, supply chain, logistics, order management, inventory management, warehouse management, or planning/optimization systems. Experience with optimization systems — solvers (CPLEX, Operations Research-Tools, Gurobi), decision engines, constraint programming, or data-science-integrated production systems. Platform modernization experience — migrating legacy systems to microservices, event-driven architectures, or domain-driven designs in production environments. Solid engineering skills as a technical leader to coach and lead high performing software engineers and keep them motivated. Excellent communication and analytical skills to shepherd communication with end users, technical and business teams to collect requirements, describe product features, and develop technical designs to achieve business goals. Knowledge of Agile software engineering practices and patterns for the full software development lifecycle including coding standards, code reviews, build processes, testing, and live site operations. Demonstrated leadership in cross-functional, highly collaborative environment. Track record of developing engineers through various career stages and building high-performance teams. Demonstrated focus on continuous improvement of systems, software, and processes through data analysis and metrics. Ability to independently operate and lead through ambiguity in a fast-paced environment. Experience with Agentic AI tools for development and code review — using AI-assisted coding agents (e.g., Cursor, Copilot, Devin, Claude Code) to accelerate development velocity, improve code review quality, and automate repetitive engineering tasks. Experience with Spec-Driven Development — defining system behavior through specifications (OpenAPI/Swagger, Protocol Buffers, API-first design, contract-first development) before implementation, ensuring well-defined contracts between services. Experience with multi-region systems — region-specific routing, data isolation, cross-border fulfillment, and per-market configuration management. Recruitment Process and Others Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required. In this role, you own the engagement outcome. You will lead our most complex, multi-workstream engagements in Korea, decide when Forward Deployed Engineers are needed for code-intensive work, and coach others to raise the bar across our Services practice. WHAT YOU'LL ACHIEVE: - Lead Notion’s most complex, multi-workstream customer engagements in Korea end to end, from scoping and discovery through launch, adoption and handoff, often where the future state and success measures are not yet defined. - Shape Services scope, effort estimates and implementation strategy with account teams during pre-sales, then deliver against the agreed scope, timeline and outcomes, recovering engagements that go off track. - Drive executive alignment on ambiguous, high-stakes decisions: facilitate discovery and architecture workshops, frame tradeoffs clearly and deliver hard messages directly. - Decide where Notion should own, complement or connect to existing systems, and design scalable architectures and AI-native workflows to a production quality bar, including permission design, AI evaluation, human-in-the-loop controls and operational ownership. - Orchestrate Forward Deployed Engineers, partners and internal teams: define when deeper engineering is required and set clear scope, ownership and handoffs. - Lead change management and adoption through stakeholder alignment, champion programs, phased rollouts and enablement, so customer teams sustain usage and realize measurable value. - Coach other architects and partners, and scale the Korea Services practice through reusable reference architectures, packaged solutions and localized enablement. - Turn field patterns into evidence-backed product signals (customer pain, business impact, expected outcome and frequency) that influence Notion’s roadmap. SKILLS YOU'LL NEED TO BRING: - 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role. - Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria. - Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions. - Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows. - Proven track record of designing and deploying AI-powered workflows or agents in production for customers. - Hands-on technical depth in data modeling and permission design, API and integration patterns, agent design and evaluation, enterprise security and governance, and data validation with SQL or scripts. You do not need to write production code. - Strong experience delivering implementations that drive adoption, change management and long-term customer value. - Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness. - Experience scoping Services work, estimating effort and delivering within agreed commercial boundaries. - Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences. - Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward. - Experience coaching consultants or architects, and building methods, reference architectures or packaged services that others adopt. - Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments. - Professional fluency in Korean and English. NICE TO HAVES: - Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows. - Experience delivering for large Korean enterprises and navigating complex, multi-stakeholder decision processes. - Experience enabling or co-delivering with implementation partners. - Previous experience in a fast-paced, high-growth technology environment. A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

🌍 ABOUT HOPAE At Hopae, we're building the world's most trusted digital identity platform — private, secure, and built for real life. We believe identity should be in your control — not locked behind outdated systems or centralized gatekeepers. Our product, Hopae Connect, lets businesses verify real people across borders through a single API — no need to build country-by-country integrations themselves. Our technology powers instant, privacy-first verification across fintech, credentials, supply chain, and gaming — for IDV providers, e-signature platforms, and enterprises who need identity to just work, everywhere. Backed by top global investors, Hopae operates across Seoul, Paris, Luxembourg, and San Francisco, bringing together exceptional talent from over 10 nationalities. We move fast, think globally, and build products that define the future of identity. 💡 WHY YOU’LL LOVE IT HERE - Global DNA: Work with exceptional peers across Seoul, Paris, and San Francisco - High Impact: Build technology shaping the global trust and identity landscape - Ownership Culture: No micromanagement — full trust, full accountability - Elite Standards: Work fast, learn fast, and grow with world-class peers - Inclusive & Respectful: 10+ nationalities, diverse perspectives, one vision - Growth Mindset: Access mentorship, leadership visibility, and continuous learning 🎯 WHAT YOU WILL DO At Hopae, Product Managers sit at the heart of everything we build. You'll work closely with engineering, design, research, and business teams to shape products that define how the world verifies identity — at scale, across borders, and without compromise. We're hiring PMs across Hopae. Hopae Connect — our core API product that lets businesses verify real people across borders through a single integration. PMs here own the developer-facing product experience, shape how enterprises and IDV providers connect to global eID systems, and drive adoption across fintech, credentials, supply chain, and gaming verticals. Across both teams, you will: - Own your product area end-to-end — from discovery and roadmap to launch and iteration - Translate complex regulatory, technical, and user requirements into clear, shippable specs - Define success metrics and hold yourself accountable to them - Work closely with engineers, designers, and legal/compliance to ship features that are both technically sound and commercially meaningful - Partner with Sales and Business Development to understand what customers need — and what the market is ready for - Communicate priorities clearly and push back when needed — you are the decision-maker for your surface area - Represent the voice of the customer internally, and the voice of the product externally 🧠 WHO YOU ARE You've shipped real products, own your decisions, and thrive without a playbook. You think in first principles, communicate with precision across time zones, and are genuinely excited about the future of digital identity. - You have a B2B SaaS background, can hold your own in a technical conversation, and understand how product decisions move deals. - You're comfortable in 0→1 territory ⚡️ FAST FACTS - 💰 $13.5M+ raised from top global investors - 📦 2.6M+ downloads of our sd-jwt-js library - 🌍 10+ nationalities across 3 hubs - 🔬 82 eID research projects completed - 🌐 3 projects accepted into the OpenWallet Foundation 🎁 BENEFITS & CULTURE - Unlimited PTO - Remote-friendly work model - Real ownership from Day 1 - High-impact, global product - Multicultural, respectful team 🧭 INTERVIEW PROCESS 1. Recruiter Intro Call (30 min) – Get to know Hopae 2. Functional or Technical Interview (45 min) – Dive into your skills 3. Culture Fit Conversation (45 min) – Collaboration & alignment 4. Offer 🎉 Note: The process may vary slightly depending on the role.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. What We're About At its core, this role is about uncovering dots and—without knowing the shape they form—figuring out how to connect them. Our customers come to us with a hunch that the only way to protect their troops, manufacture high-quality products, structure effective healthcare policies, or deliver aid to refugees safely is to make better use of their data. Deployment Strategists are responsible for turning that hunch into reality. If you believe in the transformational power of data and technology and in your own ability to bring that power to bear against complex problems, we want to meet you. What We Do As a Deployment Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most challenging problems our world faces. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. Deployment Strategists are do-ers who immerse themselves in our customers' most intricate workflows, partner with customer teams and explore the data, and dive into the product landscape to enable us to scale. A select number of Deployments Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you'll tackle will require a curious and analytical mindset, a sharp intuition for product, and a strong degree of user empathy to ultimately empower our customers to make better decisions. Go onsite and meet with customer analysts to understand the critical questions they need to answer and locate their biggest pain points. Identify relevant datasets through deep engagement with customer problems and workflows, and work with Forward Deployed Engineers to integrate the data into a stable and extensible pipeline. Work with the customer to build bespoke workflows for new user groups. Lead training sessions to ensure that the product is meeting user needs, and to ensure it is being used widely enough to have concrete impact on our partners' operations. Present the results of our work and proposals for future work to audiences ranging from analysts to C-suite executives. Embed with our Software Engineering and Product Design teams to incorporate what you saw in the field into cross-Palantir product offerings. Build and deliver demos to new and existing customers. Scope out potential engagements in new industries and in increasingly expanding locations around the world. We value team members who aren’t satisfied with surface-level answers. We value the desire to dive into the details of the data because that’s the core of our work. And we value low ego because the outcome matters more than who gets the credit. Extraordinary ability to take on open-ended problems in unstructured environments. Adaptive and introspective; willing to learn, teach, lead and follow. Ability to travel 25 – 75% required. Varies by location and team. Experience with programming, scripting or statistical packages (e.g. Python, R, Matlab, SQL) is a plus. Ability to read, write, and speak fluent business Korean and English is a requirement. Life at Palantir We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3).

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. What We're About At its core, this role is about uncovering dots and—without knowing the shape they form—figuring out how to connect them. Our customers come to us with a hunch that the only way to protect their troops, manufacture high-quality products, structure effective healthcare policies, or deliver aid to refugees safely is to make better use of their data. Deployment Strategists are responsible for turning that hunch into reality. If you believe in the transformational power of data and technology and in your own ability to bring that power to bear against complex problems, we want to meet you. What We Do As a Deployment Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most challenging problems our world faces. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. Deployment Strategists are do-ers who immerse themselves in our customers' most intricate workflows, partner with customer teams and explore the data, and dive into the product landscape to enable us to scale. A select number of Deployments Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you'll tackle will require a curious and analytical mindset, a sharp intuition for product, and a strong degree of user empathy to ultimately empower our customers to make better decisions. No two days are the same, but as a Deployment Strategist you can expect to: Go onsite and meet with customer analysts to understand the critical questions they need to answer and locate their biggest pain points. Identify relevant datasets through deep engagement with customer problems and workflows, and work with Forward Deployed Engineers to integrate the data into a stable and extensible pipeline. Work with the customer to build bespoke workflows for new user groups. Lead training sessions to ensure that the product is meeting user needs, and to ensure it is being used widely enough to have concrete impact on our partners' operations. Present the results of our work and proposals for future work to audiences ranging from analysts to C-suite executives. Embed with our Software Engineering and Product Design teams to incorporate what you saw in the field into cross-Palantir product offerings. Build and deliver demos to new and existing customers. Scope out potential engagements in new industries and in increasingly expanding locations around the world. We value team members who aren’t satisfied with surface-level answers. We value the desire to dive into the details of the data because that’s the core of our work. And we value low ego because the outcome matters more than who gets the credit. Extraordinary ability to take on open-ended problems in unstructured environments. Adaptive and introspective; willing to learn, teach, lead and follow. Ability to travel 25 – 75% required. Varies by location and team. Ability to read, write, and speak fluent business Korean and English. Experience with programming, scripting or statistical packages (e.g. Python, R, Matlab, SQL). Must be graduating in 2026 or 2027. An updated resume / CV in PDF format. A 3-minute response to our application video prompt. Offer Deadline In an effort to build more transparency into our recruitment process, we’d like to share our offer deadline expectations. By applying to this position, you commit to confirming your decision within two weeks of receiving your written offer. Life at Palantir We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3).

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role At Palantir, the Forward Deployed Software Engineer (FDSE) role isn’t just a job title: it’s the blueprint. We pioneered this unique position, embedding talented engineers directly with our customers to tackle their most pressing challenges head-on. As an FDSE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. Whether it’s “How do we predict and mitigate wildfire risks to optimize power grids?” or “How can we analyze and adapt a global food supply chain to deliver life-saving aid on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. You’ll have the rare opportunity to gain deep insight into and directly influence some of the world’s most critical industries and institutions. By building on Palantir’s powerful platforms leveraging integrated cutting-edge AI, you’ll help organizations unlock the full potential of their data to make smarter, faster decisions. Core Responsibilities • Collaborating with fellow engineers on architecture and design decisions • Wrangling massive-scale data and using AI to accelerate and enhance critical operations • Developing custom applications tailored to customer needs • Engaging directly with customer stakeholders, from technical teams to executives • Shaping team strategy and driving projects from ideation to deployment, increasing your pain threshold to deliver real value A highly analytical mindset and eagerness to solve technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. Experience or interest in working with and using large scale data to solve valuable business problems. Demonstrated ability to collaborate effectively in teams of technical and non-technical individuals, and comfortable working in a rapidly changing environment with dynamic objectives and iteration with users. Ability to continuously learn, work independently, and make decisions with minimal supervision. Ability to speak fluent Korean and English is a requirement. Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. Willingness and interest to travel as needed to client sites. Ability to travel 25-50% preferred, but requirements vary by team and location. Life at Palantir We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3).

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. About the Team Coupang Ads is the advertising platform team within Coupang. We are a globally distributed team focused on delivering advertising solutions for those that sell products on our platform. Coupang ad solutions include display, search, performance, brand, and video ads. The New Advertiser Acquisition team focuses primarily on building strategies to recruit and retain advertisers across all portions of our business. We are actively recruiting a Senior Product Manager who will redefine how we engage and grow advertisers at scale. Job Overview Product vision design: Design an overall product vision including advertisers’ UI workflow and end-users’ customer experiences, and set monetization directions Contribute to improving advertiser performance and simultaneously defend/improve customer experience through advertising Collaborate with various stakeholders and advertisers to discover product opportunities Define problems and build solutions related to products Design product strategies from a long-term perspective Manage short-term product backlog to achieve quarterly product/profit goals Lead cross-functional teams across development, UX, and analytics Basic Qualifications 5+ years of experience in product management Ability to collaborate with various stakeholders and effectively achieve goals Practical experience in product iteration in an agile environment with a short iteration cycle Experience of successfully launching V1 Product or equivalent experience Excellent verbal and written communication skills Understanding of technical challenges and trade-offs Preferred Qualifications 7+ years of experience in product management Experience in advertising or job-related domains Experience working in international environments and globally distributed teams English communication skills Recruitment Process and Others Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Things to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located HERE . Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “ Company ”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company by email ( recruitingops@coupang.com ) In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable. Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

English will follow Korean text 회사 소개 쿠팡페이의 핀테크 사업은 금융 서비스의 재정의를 통해 쿠팡 고객과 판매자들이 동일한 비용으로 더 많은 가치를 누리도록 지원합니다. 쿠팡페이는 쿠팡 앱 및 홈페이지에서 상품을 구매하는 소비자와 쿠팡 마켓플레이스에서 사업을 영위하는 판매자, 쿠팡이츠에 입점한 음식점주 등에게 혁신적인 결제 및 금융 솔루션을 제공하는 데 최선을 다합니다. 쿠팡페이의 최신 핀테크 혁신 기술은 원터치 결제 서비스가 탑재된 자체 결제 시스템 쿠페이를 기반으로 한국과 대만 소비자들의 니즈에 부응하고 있습니다. 대표적으로 쿠팡페이는 고객 가치 지향 차원에서 업계 최고 수준의 리워드를 제공하는 쿠팡와우카드(쿠팡 전용 제휴 카드)를 빠르게 확장시키고 있습니다. 또 마켓플레이스 판매자들을 위해 BaaS (Banking as a Service) 모델을 접목하고 다양한 유동성 강화 솔루션을 제공함으로써 소상공인들의 사업 성장을 적극 지원합니다. 보유하고 계신 다양한 경험을 핀테크 분야에서 최대한 살리고 싶다면 쿠팡페이와 함께 하세요. 쿠팡페이는 고객들의 결제 시간을 최대한 아껴주고 좋아하는 것을 마음껏 쇼핑할 시간을 벌어드립니다. 직무 소개 쿠팡페이는 Coupay를 넘어 수천만 고객이 일상 어디서나 사용할 수 있는 차세대 결제 플랫폼인 Rocket Pay를 구축하고 있습니다. Rocket Pay는 쿠팡 생태계 내 결제를 넘어 온라인 및 오프라인 가맹점까지 확장되는 범용 결제 플랫폼으로, 대규모 결제 트래픽과 금융 데이터를 기반으로 새로운 고객 경험을 제공합니다. Product Engineering 조직은 이러한 플랫폼 확장을 위한 핵심 결제 시스템, Wallet, Authorization, Settlement, Reconciliation, Merchant Services 및 Fintech Platform 전반을 설계·개발하고 운영합니다. 이 조직은 단순히 기능을 개발하는 팀이 아니라, 수천만 사용자의 결제 경험과 수십조 원 규모의 트랜잭션을 지원하는 차세대 핀테크 플랫폼의 아키텍처를 정의하는 팀입니다. Senior Staff Backend Engineer는 Rocket Pay 핵심 도메인의 기술적 방향성을 정의하며, 결제 플랫폼 전반의 아키텍처와 엔지니어링 전략을 주도합니다. 국내 최대 규모의 결제 인프라 중 하나를 운영하며, 시스템 안정성·확장성·보안·성능에 대한 End-to-End 책임을 갖습니다. 또한 조직 내 기술 리더로서 설계 리뷰, 기술 의사결정 및 엔지니어 멘토링을 수행합니다. 자격 요건 Backend 개발 경력 12년 이상을 보유하신 분 Java/Kotlin, Spring Framework 기반의 대규모 분산 시스템을 설계하고 운영한 경험을 보유하신 분 하나 이상의 복잡한 서비스 또는 도메인에 대해 기술적 오너십을 가지고 주도적으로 개선한 경험을 보유하신 분 성능, 안정성, 데이터 정합성, 보안을 고려한 시스템 설계 역량을 보유하신 분 모호한 문제를 구조화하고, 기술적 판단을 통해 실제 비즈니스 임팩트를 만들어낸 경험을 보유하신 분 고객 경험과 비즈니스 요구를 이해하고, 이를 기술적으로 풀어내는 데 높은 흥미와 책임감을 보유하신 분 우대 사항 JPA, MSA 환경에서의 아키텍처 설계 및 마이그레이션 리딩 경험을 보유하신 분 Payment / Fintech 도메인에서의 개발 및 운영 경험을 보유하신 분 대규모 트래픽 환경에서의 장애 대응, 모니터링, SLA 개선 경험을 보유하신 분 정산·대사 등 대용량 데이터 처리 및 정합성 보장 경험을 보유하신 분 애자일 소프트웨어 방법론 환경에서 기술적 리더십을 발휘한 경험을 보유하신 분 기술적 판단과 설계를 통해 조직 내 다른 엔지니어들에게 영향력을 행사한 경험을 보유하신 분 전형 절차 및 안내 사항 전형절차 서류전형 - 1차 면접 - 2차 면접 - 최종 합격 전형절차는 직무별로 다르게 운영될 수 있으며 , 일정 및 상황에 따라 변동 될 수 있습니다 . 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고사항 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다 . 고용형태는 정규직으로 수습기간 12 주를 포함 합니다 . 단, 업무상 필요한 경우에는 상기 수습기간을 적용하지 않거나 단축 또는 연장할 수 있습니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy/ 서류반환정책 본 고지는 『 채용절차의공정화에관한법률 』 제11조제6항에 따른 것 입니다 . 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 (recruitingops@coupangpay.com) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다. Company Introduction The fintech business of Coupang is reimagining financial services for both our consumers and sellers, so they can do more with their money. Coupang Pay focuses on delivering innovative payment and financial services solutions to everyone who uses the Coupang app — from customers buying products on Coupang.com, to marketplace vendors, and restaurants that offer their services via Coupang Eats. We develop solutions with our latest tech innovations to serve the growing needs of Coupang’s customers in Korea and Taiwan. This includes Coupay, an online wallet with a proprietary one-touch payment capability. In particular, we are rapidly scaling the Wow credit card, a co-branded card that offers industry-leading rewards as part of our efforts to maximize customer values. For sellers, we are building out multiple liquidity options to help small and medium sized enterprises grow their business, using BaaS (Banking as a Service) capability. If you want to leverage your extensive experience within the fintech space, join us. We help customers spend less time checking out so they can spend more time shopping for what they love. Role Overview The Product Engineering team owns the technology platform behind Rocket Pay, Coupang Pay's next-generation payment ecosystem. We are transforming a payment solution that was once limited to the Coupang ecosystem into a universal payment platform that serves customers across online and offline commerce. Our mission is to deliver the most trusted, scalable, and frictionless payment experience while building the financial infrastructure that powers the future of commerce. Our systems process massive transaction volumes and support critical financial operations including payment processing, wallet services, merchant onboarding, settlement, reconciliation, risk controls, and financial reporting. We operate in an environment where reliability, scalability, security, and operational excellence are non-negotiable. Joining this team means working on some of the most challenging engineering problems in fintech while helping shape the future of one of Korea's fastest-growing payment platforms. As Rocket Pay expands into a broader merchant ecosystem, engineers have the opportunity to build solutions that can fundamentally change how millions of customers pay every day. Basic Qualifications 12+ years of backend engineering experience Ability to design and operate large-scale distributed systems based on Java/Kotlin and the Spring Framework Experience owning and proactively driving improvements for one or more complex services or domains with strong ownership Ability to design systems with strong consideration for performance, reliability, data consistency, and security Experience structuring ambiguous problems and making technical decisions that resulted in tangible business impact Ability to understand customer experience and business requirements and translate them into well-architected technical solutions with a high level of ownership Preferred Qualifications Experience leading architecture design and migration in JPA- and MSA-based environments Experience in development and operations within the Payment / Fintech domain Experience responding to incidents, building monitoring systems, and improving SLAs in high-traffic environments Experience handling large-scale data processing with strong guarantees around settlement and reconciliation accuracy Experience demonstrating technical leadership in agile software development environments Experience influencing other engineers through sound technical judgment and system design decisions Recruitment Process and Others Recruitment Process Application Review - 1st Interview - 2nd Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled . Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupangpay.com ) . In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. About the Role The compiler is central to FuriosaAI's mission to build high-performance, energy-efficient AI systems. The front end is where the compiler meets the outside world. Its mission spans three areas: Faithful Ingestion: Translate models from external frameworks — with their evolving semantics, dynamic behaviors, and framework-specific constructs — into a precise internal representation that the rest of the compiler can reason about with confidence. Structural Optimization: Reshape programs at the graph level — through operator fusion, constant propagation, and shape resolution — so that downstream compilation stages receive the cleanest possible input. Tensor-Level Kernel Language Design: Design and evolve a programming language that enables users to directly author models optimized for FuriosaAI hardware. As the user-level interface to the compiler's internal IR and DSL, this language should maximize hardware performance while remaining intuitive for a broad range of users. We are looking for someone who thinks in systems, designs for extensibility, and brings rigor and clarity across the stack — from model ingestion to user-facing language design. Key Responsibilities Design and implement the front-end pipeline that transforms models from major deep learning frameworks such as PyTorch into the compiler's internal IR. Develop graph-level optimizations, including operator fusion, constant folding, shape inference, and layout transformations. Build extensible model ingestion structures that can accommodate new architectures such as LLM, VLA, and Multimodal models, and custom operators, while maintaining consistency and correctness. Design and evolve a tensor-level kernel language that exposes the capabilities of the internal IR and DSL through a consistent, well-abstracted user interface. Establish verification mechanisms to ensure correctness throughout the translation process. Collaborate with software teams and language users to maximize end-to-end compilation quality and refine the language design based on real-world usage patterns. Minimum Qualifications Bachelor's degree in Computer Science, Mathematics, or a related field. Experience or familiarity with compilers, program transformation systems, or related infrastructure. Understanding of deep learning frameworks such as PyTorch, TensorFlow, and ONNX — and their model representations. Ability to abstract complex system constraints into consistent, user-friendly programming interfaces. Proficiency in Python and experience with at least one systems programming language such as Rust or C++. Preferred Qualifications Master's or PhD in Programming Languages, Compilers, Program Analysis, or related fields. Experience designing and implementing domain-specific languages (DSLs) or user-facing programming models. Deep understanding of PyTorch compiler internals (TorchDynamo, FX Graph, torch.compile, torch.export) or kernel programming languages such as Triton. Research or industry experience with compiler frameworks such as LLVM, MLIR, or TVM. Understanding of AI accelerator architectures (NPU, GPU, TPU) and their implications for programming model design. Experience with graph-level compilation optimizations or contributions to open-source compiler and deep learning framework projects. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. About the Role Join our Power, Performance, and Thermal (PPT) Engineering team to optimize the next generation of AI accelerators. In this role, you will drive hardware and system-level innovations that maximize performance while minimizing power consumption and thermal impact. You will work closely with architecture, design, and software teams to develop high-performance, power-efficient NPU solutions from concept to production. Who We’re Looking For We welcome engineers at all experience levels—from early-career professionals to experienced technical leaders—who are passionate about building and optimizing world-class NPU architectures and solving complex power, performance, and thermal challenges. Key Responsibilities You will develop core system software to control power, performance, and thermals in an Linux environment for NPU SoCs. DVFS & Power Management: Design and develop dynamic voltage and frequency scaling policies and drivers utilizing cpufreq, devfreq, and SCMI under Embedded Linux. Core Subsystem Driver Development: Build and optimize drivers for CCF (Common Clock Framework), Regulators, and Thermal Management. Power/Performance Profiling: Analyze power consumption and thermal trends during NPU execution to construct and validate optimal OPP (Operating Performance Point) tables. Minimum Qualifications Strong proficiency in C/C++ and AArch64 assembly. Hands-on experience in Linux Kernel and Device Driver development. Deep understanding of SoC architecture, including clock trees and power management mechanisms. Preferred Qualifications Experience in Chip/Board Bring-up and firmware development for mobile SoCs, NPUs, or GPUs. Experience with JTAG in any aspect of debugging. Experience with, or a strong interest in, Rust for system programming. A proactive problem-solver who enjoys optimizing at the intersection of hardware and software. Work Location & Flexibility Location: Choose between our Seoul (Sinsa) office or Gyeonggi-do (Dongtan, Hwaseong) office. Hybrid Work: Highly flexible remote/work-from-home policy to ensure you can focus and deliver your best work in an autonomous environment. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. About the Role The Compiler team at FuriosaAI builds the software stack that enables ML models to run at peak performance on our AI accelerator hardware. This is a newly established role — there's no playbook yet. You'll be the first person to define and operationalize AI-assisted engineering workflows for the team: identifying high-leverage bottlenecks, running experiments, and shipping repeatable tooling + playbooks that stick. While you’ll be embedded in the Compiler team, compiler specialization is not required — your scope can span development, code review, debugging, CI/testing, documentation, and project execution. If you're the kind of engineer who gets uncomfortable without a clear job description — this role isn't for you. If you're the kind who sees an undefined space and immediately starts mapping it — read on. Key Responsibilities Identify pain points and leverage opportunities across the engineering workflow (development, code review, debugging, CI/testing, documentation, and project execution) Research, prototype, and benchmark AI/automation tools (e.g., coding agents, LLM-assisted review, debugging assistants) against real team workflows Design and maintain team-specific prompt libraries, workflow templates, and integration guides (IDE, code review, CI, debugging, documentation) Improve CI/testing signal quality and feedback loops (e.g., flaky test reduction, failure triage workflows) Lead onboarding sessions, regular Q&A sessions, and internal knowledge sharing for newly adopted tools Define and track adoption + impact metrics (e.g., PR cycle time, review turnaround, time-to-triage regressions, CI flakiness), and iterate based on data and feedback Monitor the AI tooling ecosystem and surface relevant developments to the team Minimum Qualifications BS in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field. Hands-on experience with LLM-based coding tools (e.g., GitHub Copilot, Cursor, Claude Code, Codex, or equivalent) Strong understanding of software development workflows from the perspective of a practicing engineer Ability to rapidly evaluate new tools and translate findings into actionable team guidance Preferred Qualifications 3+ years of software engineering experience, or a Master's/Ph.D. degree in a related field Background in compiler engineering, systems programming, or static analysis Experience building or customizing LLM-based agents or tooling via API Track record of driving internal tooling adoption or developer experience improvements Experience producing technical documentation, runbooks, or internal tech talks Experience improving engineering workflows (DevOps, CI/CD, developer productivity, or technical program execution) Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. Key Responsibilities Develop and maintain Linux PCIe device drivers and kernel modules Optimize PCIe subsystem behavior including DMA, IOMMU, interrupts, and BAR mapping Build user-space libraries and APIs enabling high-performance data paths Work closely with hardware/firmware teams to build end-to-end PCIe I/O pipelines Design efficient memory management and zero-copy data transfer paths Minimum Qualifications Strong understanding of Linux Kernel internals and memory management (DMA/IOMMU) Experience developing kernel modules in C Knowledge of PCIe protocol and PCIe subsystem architecture Experience with kernel debugging tools (gdb, ftrace, perf, etc.) Preferred Qualifications Experience with device drivers for HPC, AI accelerators, or high-speed networking Background in RDMA/DPDK/SPDK or other high-performance I/O frameworks Familiarity with NUMA, huge pages, and pinned memory Upstream contributions or open-source maintainer experience Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - GTM technical expert: Design and demo Sierra’s incredible Agent product, offering technical solutions to solve for our customer’s needs, and answering technical questions about our solutions. - Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy. - Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution. WHAT YOU'LL BRING - 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales. - Past experience in demo building, and presenting, and working with customers or clients in the GTM function. - Experience in relationship-building with potential customers, including executives and technical leaders. - Experience in leading the sales process with Enterprise customers. - Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience - Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. With that, you know where these tools can help and where human judgment still is required. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it. This ownership looks like us not saying "[AI tool of choice] built this", but "I built this with [AI tool of choice]." - Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience. - Strong English and Korean written and verbal communication EVEN BETTER... - Experience translating code, technical logic and user requirements to product and engineering requirements. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

About Moloco: Moloco is an AI-native performance advertising company, bringing the power of AI advertising to the open internet. Founded in 2013 by machine learning engineers who had built AI advertising systems inside the world's largest technology companies, Moloco began from a shared mission: to build that same engine for the open internet. Today, Moloco is one company with two businesses, built on the same compound AI system. Moloco Ads is our AI-native performance advertising platform, helping mobile app marketers acquire, retain, and re-engage high-value users across the open internet. Moloco Commerce Media is our AI-native retail media platform, enabling retailers and marketplaces to turn their platforms into thriving ad businesses. Both are powered by CARA (Compound Ad Recommendation Architecture) , the AI system behind every Moloco product. At Moloco, we bring together those who've already solved hard problems and those with the drive to. Here, we work on some of the complex problems in AI advertising, at a scale and level of sophistication very few companies can offer. Come build what's next. Mission of the Role Ensure the quality, stability, and reliability of Moloco’s services by conducting rigorous manual testing and building AI Agent-driven automated testing frameworks. The QA Engineer will balance hands-on exploratory testing with modern AI technologies to write test cases, analyze failures, and optimize testing pipelines. By working closely with Software Engineers, you will improve product quality, development efficiency, and release confidence. What You will Do Conduct thorough manual testing for new features, complex edge cases, and user-centric scenarios to ensure high product quality before release. Design, build, and scale an AI Agent-assisted test automation framework to transition repetitive manual tests into automated integration and end-to-end tests. Utilize AI Agents for automated test generation, script maintenance (auto-healing), and enhancing exploratory testing. Analyze bugs and errors found during both manual and automated testing, and communicate actionable findings (repro steps, root-cause insights) to Software Engineers. Choose the appropriate testing strategy for each service or feature, balancing manual testing, automation, regression coverage, and release risk. Integrate AI-driven QA tooling into CI/CD pipelines to identify quality risks early in the development lifecycle. Improve development efficiency and performance by identifying quality risks early and integrating QA into the development process. Work closely with Software Engineers to enhance and improve programs, testability, and release quality. Maintain clear test documentation, defect records, and guidelines to ensure seamless QA operations. How Do I Know if the Role is Right For Me? Degree in Computer Science, Software Engineering, or a related field, with software-testing coursework or at least one year of software-testing experience. Basic understanding of Agile/DevOps software development practices and continuous integration/continuous delivery (CI/CD). Strong attention to detail with a proven ability to identify edge cases, negative scenarios, boundary conditions, and gaps in requirements through manual testing. Familiarity with API testing, backend service verification, frontend testing. Strong written and verbal communication skills in English and Korean. Preferred Skills Experience or strong interest in leveraging AI tools/LLM Agents for QA processes (e.g., automated test script generation, auto-healing, log analysis). Familiarity with Jira or comparable test-management and issue-tracking tools. Familiarity with security/penetration testing concepts. Supporting Your Best Work and Your Best Life: Our benefits are designed to support our people in doing their best work and living well, at work and beyond. Benefits vary by country, employment type, and eligibility. Connect with a recruiter to learn more about benefits in your region. Moloco Values: Lead with Humility: Everyone’s voice is respected, valued, and heard. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible. Create Real Value: We pursue the most impactful opportunities with intensity and rigor. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We’re one team working towards one vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom AI Use in Interviews Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice .

About Moloco: Moloco is an AI-native performance advertising company, bringing the power of AI advertising to the open internet. Founded in 2013 by machine learning engineers who had built AI advertising systems inside the world's largest technology companies, Moloco began from a shared mission: to build that same engine for the open internet. Today, Moloco is one company with two businesses, built on the same compound AI system. Moloco Ads is our AI-native performance advertising platform, helping mobile app marketers acquire, retain, and re-engage high-value users across the open internet. Moloco Commerce Media is our AI-native retail media platform, enabling retailers and marketplaces to turn their platforms into thriving ad businesses. Both are powered by CARA (Compound Ad Recommendation Architecture) , the AI system behind every Moloco product. At Moloco, we bring together those who've already solved hard problems and those with the drive to. Here, we work on some of the complex problems in AI advertising, at a scale and level of sophistication very few companies can offer. Come build what's next. We are currently hiring interns for our Winter Internship Program, with positions targeted for the upcoming winter break. The Impact You’ll Be Contributing to Moloco: Moloco seeks exceptional Software Engineers to join us in building a state-of-the-art mobile advertising platform. You will be building world-class infrastructure which combines machine learning and big data to help companies supercharge their growth. Many leading service owners and marketers worldwide already benefit from Moloco’s innovative technology to scale performance quickly and efficiently through battle tested prediction models. As a company founded by Software Engineers, we understand the value of a strong engineering team and strive to hire only the best talent. You will be challenged to solve real-world problems with top-notch colleagues. Check out our case study published by Google https://cloud.google.com/customers/moloco/. The Opportunity: Write server-side code that handles millions of requests per second. Implement advertising functionality and customer-facing features. Learn and explore technologies to improve the services. Collaborate with internal/external cross-functional teams to make the best advertising products. How Do I Know if the Role is Right For Me? Pursuing BS/MS/PhD degree in computer science or related majors. Outstanding problem solving skills with proper data structures and algorithms. Excellent software development skills at least in one programming language Major/minor in Mathematics or relevant coursework/experience is a plus Preferred Skills Expected to graduate within a year, OR already graduated within a year Fluent in English and Korean (both verbal and written) ** Work-from-home is not available for this role Supporting Your Best Work and Your Best Life: Our benefits are designed to support our people in doing their best work and living well, at work and beyond. Benefits vary by country, employment type, and eligibility. Connect with a recruiter to learn more about benefits in your region. Moloco Values: Lead with Humility: Everyone’s voice is respected, valued, and heard. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible. Create Real Value: We pursue the most impactful opportunities with intensity and rigor. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We’re one team working towards one vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom AI Use in Interviews Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice .

About Moloco: Moloco is an AI-native performance advertising company, bringing the power of AI advertising to the open internet. Founded in 2013 by machine learning engineers who had built AI advertising systems inside the world's largest technology companies, Moloco began from a shared mission: to build that same engine for the open internet. Today, Moloco is one company with two businesses, built on the same compound AI system. Moloco Ads is our AI-native performance advertising platform, helping mobile app marketers acquire, retain, and re-engage high-value users across the open internet. Moloco Commerce Media is our AI-native retail media platform, enabling retailers and marketplaces to turn their platforms into thriving ad businesses. Both are powered by CARA (Compound Ad Recommendation Architecture) , the AI system behind every Moloco product. At Moloco, we bring together those who've already solved hard problems and those with the drive to. Here, we work on some of the complex problems in AI advertising, at a scale and level of sophistication very few companies can offer. Come build what's next. About the role As a Staff Software Engineer at Moloco, you will help build the systems and products that power intelligent advertising and machine learning solutions for customers around the world. You will work on complex, large-scale problems at the intersection of software engineering, data, machine learning, and product development, turning them into reliable and intuitive solutions for customers and internal partners. This role is ideal for an experienced engineer who combines strong technical depth with broad organizational impact. You will contribute to technical direction, lead critical initiatives from concept to production, and partner with teams across Moloco to deliver products and platforms that are scalable, measurable, and trusted by our customers. Here’s what you’ll be working on: Set technical direction for key product and platform initiatives, influencing architecture, engineering standards, and long-term technical strategy. Lead complex, cross-functional projects from problem framing and requirements definition through technical design, implementation, launch, and post-launch improvement. Design, implement, and operate scalable backend services, APIs, data systems, and workflows that support Moloco’s products and customer experiences. Translate ambiguous business and customer problems into clear technical solutions, balancing product impact, engineering quality, delivery timelines, and operational cost. Partner closely with Product, Data, ML, UX, and other Engineering teams to define scope, align stakeholders, and make effective technical and product trade-offs. Build and improve systems that help customers manage, deliver, measure, and optimize their business outcomes. Improve system reliability, performance, scalability, and observability through strong engineering practices, including testing, metrics, logging, monitoring, incident response, and operational reviews. Raise the engineering bar across the organization by driving design reviews, sharing best practices, and promoting thoughtful approaches to maintainability and technical excellence. Mentor and support engineers across levels, helping them grow their technical judgment, project ownership, and ability to operate effectively in a global engineering organization. Represent the team in broader technical discussions and help align near-term execution with Moloco’s longer-term product and engineering goals. Basic Qualifications Bachelor’s or Master’s degree in Computer Science, a related technical field, or equivalent practical experience. 15+ years of software engineering experience, including significant experience building and operating backend systems, platforms, or user-facing products at scale. Strong proficiency in one or more modern programming languages such as Java, Go, Kotlin, C++, or Python. Deep understanding of distributed systems, service-oriented architecture, data structures, algorithms, and system design. Proven experience designing and operating reliable, high-throughput services and APIs in production environments. Experience working with relational or NoSQL databases and large-scale data systems, such as BigQuery, Bigtable, MySQL, or PostgreSQL. Track record of leading complex technical initiatives that span multiple components, teams, or disciplines, including aligning stakeholders and delivering high-quality results. Demonstrated ability to make sound technical decisions in ambiguous situations and clearly communicate the rationale, trade-offs, and expected impact. Experience collaborating closely with Product, Data, ML, UX, and Engineering partners to shape product direction and execution plans. Strong ownership mindset, with experience driving projects end-to-end and remaining engaged through launch, operation, and continuous improvement. Experience mentoring engineers and influencing engineering practices, team culture, or technical strategy beyond your immediate area. Fluent verbal and written communication skills in English, with the ability to lead technical discussions with global and cross-functional stakeholders. Preferred Qualifications Experience building products or platforms in digital advertising, machine learning, media, e-commerce, fintech, or other data-intensive domains. Experience with large-scale distributed systems, real-time or near-real-time processing, high-volume data pipelines, or latency-sensitive services. Familiarity with cloud platforms and big-data technologies such as GCP, BigQuery, Dataflow, Kafka, Beam, or Spark. Experience integrating data pipelines, schemas, data contracts, analytics, and reporting capabilities into customer-facing products. Experience defining or improving reliability practices, including SLIs/SLOs, capacity planning, backfill strategies, cost management, and incident response. Ability to simplify complex technical or operational concepts into clear product experiences, APIs, and workflows. Experience working in a global or multi-region environment, especially where customer needs, market dynamics, or regulations differ by region. Demonstrated success influencing technical direction across organizational boundaries without relying on formal authority. Experience building inclusive, collaborative teams and helping engineers develop their technical and leadership capabilities. Supporting Your Best Work and Your Best Life: Our benefits are designed to support our people in doing their best work and living well, at work and beyond. Benefits vary by country, employment type, and eligibility. Connect with a recruiter to learn more about benefits in your region. Moloco Values: Lead with Humility: Everyone’s voice is respected, valued, and heard. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible. Create Real Value: We pursue the most impactful opportunities with intensity and rigor. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We’re one team working towards one vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom AI Use in Interviews Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice .

About Moloco: Moloco is an AI-native performance advertising company, bringing the power of AI advertising to the open internet. Founded in 2013 by machine learning engineers who had built AI advertising systems inside the world's largest technology companies, Moloco began from a shared mission: to build that same engine for the open internet. Today, Moloco is one company with two businesses, built on the same compound AI system. Moloco Ads is our AI-native performance advertising platform, helping mobile app marketers acquire, retain, and re-engage high-value users across the open internet. Moloco Commerce Media is our AI-native retail media platform, enabling retailers and marketplaces to turn their platforms into thriving ad businesses. Both are powered by CARA (Compound Ad Recommendation Architecture) , the AI system behind every Moloco product. At Moloco, we bring together those who've already solved hard problems and those with the drive to. Here, we work on some of the complex problems in AI advertising, at a scale and level of sophistication very few companies can offer. Come build what's next. The Impact You'll Be Contributing to Moloco Moloco helps businesses grow through machine learning-powered advertising and measurement. As a TPM supporting our CTV business, you will help shape how CTV products and platforms scale across app, web, and smart TV environments. You will make an impact by: Connecting business goals to clear priorities, milestones, and execution plans. Creating visibility into performance, investment, operational health, and progress against goals. Aligning Product, Engineering, Data, Finance, and Go-to-Market teams around shared outcomes. Coordinating identity, measurement, reporting, and platform initiatives that improve the CTV experience for customers and partners. Helping global teams move with greater clarity and predictability across Seoul and other Moloco offices. The Opportunity As the TPM for CTV, you will lead complex, cross-functional programs from problem definition through launch and post-launch learning. You will partner with Product, Engineering, Infrastructure, Data Science and Machine Learning, Finance, Strategy, Go-to-Market, and customer-facing teams across Moloco. You will: Translate CTV strategy and customer needs into a focused roadmap, well-defined workstreams, milestones, and dependencies. Establish clear planning and communication rhythms that keep teams aligned and leaders informed. Drive execution across technical and business initiatives, bringing structure to ambiguity and momentum to high-priority work. Identify risks, surface trade-offs, and guide decisions to resolution through influence and strong stakeholder partnership. Connect launch plans with measurable outcomes, using data and feedback to improve products and operating practices. Build effective collaboration across Seoul and Moloco’s global teams. How Do I Know if the Role is Right For Me? This role may be a strong fit if you enjoy turning complex problems into coordinated action and helping teams deliver meaningful outcomes together. What you bring Experience leading complex, cross-functional technical programs involving Product, Engineering, Data or Machine Learning, Infrastructure, Finance, and/or Go-to-Market teams. Strong program-management fundamentals, including problem definition, scoping, planning, milestone and dependency management, risk mitigation, and concise progress communication. Technical depth to understand system architecture, technical design documents, system components, and data flows, and to engage productively with technical leaders. Comfort planning and communicating in environments where outcomes, priorities, or technical approaches evolve over time. The judgment and influence to bring clarity to ambiguity, make trade-offs visible, and move decisions forward without relying on formal authority. Excellent written and spoken English communication for collaboration with colleagues and leaders across global offices. The ability to manage multiple workstreams while balancing strategic planning with hands-on execution. 3+ years of technical program management or engineering management experience. 5+ years of experience working directly with software, cloud, or data engineering teams. Bachelor's degree in computer science, engineering, or a related technical discipline. Experience that will help you thrive Background as a TPM, Technical Program Manager, Engineering Program Manager, Product Manager, engineer, or in a comparable technical leadership role. Experience in AdTech, advertising platforms, DSP or SSP, measurement, identity, CTV/OTT, streaming, commerce, or large-scale data platforms. Experience connecting business outcomes such as revenue, cost, customer activation, quality, or reliability to technical execution. Experience working across US and APAC teams or in a globally distributed organization. We welcome candidates from a range of technical domains. Experience with CTV or advertising is valuable, and strong program leadership, technical judgment, and the ability to learn a new domain quickly are equally important. Supporting Your Best Work and Your Best Life: Our benefits are designed to support our people in doing their best work and living well, at work and beyond. Benefits vary by country, employment type, and eligibility. Connect with a recruiter to learn more about benefits in your region. Moloco Values: Lead with Humility: Everyone’s voice is respected, valued, and heard. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible. Create Real Value: We pursue the most impactful opportunities with intensity and rigor. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We’re one team working towards one vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom AI Use in Interviews Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice .

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. Software Engineer, LLM Performance & Evaluation Location: Seoul, South Korea (Hybrid) About the Job FuriosaAI is seeking a Software Engineer to own the measurement and continuous tracking of LLM inference performance and model accuracy on our NPUs. You will build the benchmarks, evaluation pipelines, and analysis tools that show how individual inference features perform, how accurately each supported model runs, and how both change as Furiosa-LLM (FLM) and our software stack evolve. Your work will give engineering teams reliable evidence for optimization priorities, model support, and release decisions. Working with the MLSys, Inference Engine, Compiler, and LLM Serving teams, you will establish reproducible baselines, investigate regressions, and make performance–accuracy trade-offs clear across models, workloads, and configurations. Key Responsibilities Design and maintain benchmarks that isolate the impact of inference features such as continuous batching, prefix caching, speculative decoding, and distributed inference. Measure feature interactions and end-to-end behavior across representative input/output lengths, concurrency levels, and deployment configurations. Measure time to first token (TTFT), inter-token and end-to-end latency distributions, throughput, memory use, and accelerator utilization. Compare configurations under explicit workload and latency constraints, and quantify improvements against controlled baselines. Own model-level accuracy evaluation for supported LLMs, selecting representative datasets and task-appropriate metrics. Compare NPU results with trusted reference implementations and prior releases, and characterize the effects of quantization, numerical precision, and inference optimizations on model quality. Build reliable automation for benchmarks and accuracy evaluations, including scheduled runs and change-triggered checks. Version models, datasets, prompts, scoring logic, and execution configurations so results remain reproducible and comparable over time. Maintain dashboards and reports that track performance and accuracy by model, inference feature, hardware configuration, and software version. Define regression thresholds and release acceptance criteria with engineering owners, and integrate evaluation checks into CI and release workflows with the Build & Release team. Investigate regressions using profiling, controlled experiments, and targeted reproductions. Distinguish implementation changes from workload variation, evaluation errors, and infrastructure noise; work with component owners to identify causes and verify fixes. Improve measurement quality through repeated runs, statistical analysis, and validation of datasets and scoring methods. Maintain a focused regression suite and broader periodic evaluations that balance coverage, execution cost, and feedback speed. Communicate findings, supported operating ranges, and performance–accuracy trade-offs through clear technical reports. Use the evidence to recommend optimization priorities and keep benchmark methodology and model evaluation results documented. Minimum Qualifications Strong Python programming skills and experience building maintainable automation, data pipelines, or engineering tools. Hands-on experience measuring and analyzing ML inference or complex systems performance, including profiling, latency/throughput analysis, and regression investigation. Understanding of transformer-based LLM inference, including prefill/decode, batching, KV-cache behavior, and the effects of workload and numerical precision on performance and model outputs. Practical experience evaluating model accuracy or numerical correctness using PyTorch, Hugging Face Transformers, or comparable tools, with the ability to investigate discrepancies against a reference implementation. Sound experimental design and data analysis skills, including controlled comparisons, variability analysis, and reproducible reporting. Ability to communicate quantitative findings clearly and collaborate across engineering teams to drive issues through resolution. Preferred Qualifications Experience with LLM inference frameworks such as vLLM, SGLang, TensorRT-LLM, including their benchmarking and profiling tools. Experience building LLM evaluation suites with tools such as lm-evaluation-harness or comparable frameworks, including dataset preparation, prompt configuration, and scoring validation. Familiarity with quantization, mixed precision, speculative decoding, or distributed inference, and their implications for performance and accuracy. Experience benchmarking GPU, NPU, or TPU systems and analyzing memory bandwidth, kernel execution, or communication bottlenecks. Experience operating automated evaluation workloads in Linux, container, or cluster environments and integrating results with CI, experiment tracking, or dashboards. Ability to read and instrument Rust or C++ code, or contributions to open-source inference, benchmarking, or evaluation projects. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Team Overview The Service Engineering team builds, operates, and scales the core back-end platforms that power the most critical pages across Coupang's mobile apps and web — including Home, Search, Category, Detail Page, Cart, Checkout, and Order. Our mission is to create a next-generation data-serving platform that is highly scalable, highly available, and robust, capable of handling millions of user requests globally. We serve as the backbone of the Coupang shopping experience, and our systems are expanding beyond the Korean market to global markets such as Taiwan. As a team, we focus on: Platform scalability — designing systems that reliably handle massive traffic at low latency across multiple regions Engineering excellence — maintaining best-in-class standards in code quality, architecture, testing, and operational excellence AI-driven effectiveness — leveraging AI and emerging technologies to improve engineering productivity, software quality, and delivery velocity Global expansion — building a platform architecture that generalizes across markets without sacrificing performance or reliability Role Overview We are looking for a Senior Staff Back-End Engineer to serve as the technical leader for the data-serving domain within Service Engineering. In this role, you will own the area-level technical strategy and roadmap, lead projects across multiple groups, and advise senior engineering and product leaders on strategic decisions. You will proactively identify and solve systemic technical problems spanning your area — navigating major risks, conflicting constraints, and non-technical complexity — while establishing outcome-based measurement to validate that AI and automation gains translate into real quality and cost-effectiveness. You will align technical and AI strategy with adjacent organizations, drive consensus on contentious topics, and guide the career growth of the most senior talent in your scope. Basic Qualifications 10+ years of professional backend development experience (excluding internships) 7+ years of experience in Java/Kotlin/Spring-based service development and 3+ years in architecture leadership Proven experience designing and operating web-scale microservices; hands-on experience with AWS and Kubernetes Deep expertise in diagnosing mission-critical system failures, identifying root causes, and institutionalizing preventive measures Strong communication and leadership skills to align stakeholders and drive complex technical decisions across organizations Preferred Qualifications Hands-on experience designing, building, and deploying highly-available distributed multi-tier services at global scale (multi-region, multi-datacenter) Experience with cloud computing on AWS at scale — cost optimization, multi-AZ/multi-region resilience, service quotas management Experience developing and operating services on Kubernetes environments at production scale Experience building or owning data pipelines with Spark, Cassandra, Kafka, and Airflow Track record of driving engineering excellence initiatives: reliability programs, performance optimization, tech debt reduction Experience authoring and socializing design documents or ADRs that influence engineering direction beyond own team AI & Harness Engineering Qualifications Demonstrated proficiency in AI-assisted software engineering — systematic use of AI tools (Copilot, Claude Code, Devin, Cursor) across planning, implementation, testing, review, and documentation Experience designing AI-augmented engineering workflows for the team — prompt engineering, context management, agent-driven automation — and integrating AI capabilities into team processes (automated code review, test generation, incident triage, documentation synthesis) Track record of measurable productivity gains through AI tool adoption (e.g., increased PR throughput, reduced cycle time, improved code quality metrics) Vision for evolving team engineering practices as AI capabilities advance — proactively identifying high-leverage opportunities in system design, operational excellence, and developer experience

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. Key Responsibilities Develop and maintain ROM code and early system initialization software Port and customize Arm Trusted Firmware (TF-A / TF-M) Implement system trust primitives such as Secure Boot, firmware update, and RoT components Collaborate closely with hardware teams to perform SoC bring-up, low-level debugging, and silicon validation Design system-level software considering performance, reliability, and security requirements Minimum Qualifications Strong proficiency in C/C++ for embedded systems In-depth understanding of ROM code, bootloaders, and early boot flows Knowledge of ARMv8-A/M architecture, MMU, cache subsystem, and low-level system behavior Experience with JTAG, Lauterbach, serial consoles, and related debugging tools Preferred Qualifications Experience contributing to TF-A / TF-M upstream Hands-on experience with Secure Boot, provisioning, and device security Experience with SoC bring-up on first silicon or FPGA prototypes Rust-based embedded firmware development experience Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Organization Overview Transportation Technology: The Transportation Technology team develops processes to ensure accurate and fast delivery, working closely with large-scale freight and transportation companies to make sure every shipment reaches the right destination. Engineers in Coupang’s Transportation Technology team play a key role in driving innovation by responding to rapidly changing business needs while keeping the big picture and long-term company goals in mind. Expansion and growth are critical objectives, providing opportunities to enter new markets and leave a lasting impact. Fulfillment Technologies: The Fulfillment Technologies team manages end-to-end processes within fulfillment centers, building systems to improve efficiency in receiving, shelving, inventory, picking, and shipping. The team aims to deliver fast and accurate services to customers by introducing cutting-edge logistics processes and automation. We focus on providing specialized, user-centric services and applying new technologies to build innovative processes. Responsibilities Serve as a Tech Lead within the Global Ops Tech organization across the entire software development lifecycle. Act as a key participant in architecture reviews for new platforms, services, and solutions within Coupang. Lead company-wide projects as a technical leader. Be a trusted problem solver for technical challenges within Global Ops Tech and across Coupang. Collaborate with project owners, stakeholders, and designers to improve or implement new applications. Continuously pursue improvements in practices to meet industry-standard expectations for quality and timelines. Share best practices and drive process improvements across agile teams, enhancing engineering productivity and advancing technical depth and breadth within the team. Qualifications 10+ years of hands-on experience working within engineering teams in fast-paced environments. 10+ years of experience designing and developing complex financial systems. 5+ years of experience designing and building scalable, high-performance platforms and data pipelines. Strong knowledge and experience with big data stacks (e.g., Cassandra, Kafka, Spark, Flink, Hive, S3, Redshift) and NoSQL databases for large-scale data streaming and near real-time processing. Proficiency in Java and Spring Framework, with extensive experience in AWS environments. Proven experience collaborating with multiple teams to define mission, vision, and roadmap. Experience working closely with product and program management teams. 회사 소개 쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 유지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 조직 소개: - Transportation Technology: Transportation Technology팀은 정확하고 빠른 배송을 위한 프로세스를 개발하여 대규모의 화물 및 운송회사들과 긴밀하게 협력하여 모든 운송이 알맞은 곳에 도착할 수 있도록 합니다. 쿠팡의 Transportation Technology엔지니어의 역할은 빠르게 변화하는 비지니스에 대응하며, 한발 더 나아가는 큰 그림과 회사의 장기적인 목표를 고려하여 혁신을 이루어 내는 것입니다. 확장과 성장은 새로운 시장에 진출하며 지속적인 발자취를 남길 수 있는 기회를 가진 Transportation Technology 의 중요한 업무 목표입니다. - Fulfillment Technologies: Fulfilment Technologies팀은 물류센터의 전반적인 프로세스를 통합 관리하며, 입고, 진열, 재고, 집품, 출고 등 물류센터 업무 효율을 높이기 위한 프로세스를 구축합니다. 또한 최신 물류 프로세스를 도입하고 업무 자동화를 구축하여 고객에게 빠르고 정확한 서비스를 제공하여 사용자 관점의 특화된 서비스를 제공하고, 새로운 프로세스를 구축하기 위해 다양한 신기술을 적용하는 것을 목표로 합니다. 업무 내용 소프트웨어 개발 라이프사이클 전반에 걸쳐 Global Ops Tech 조직의 테크리드로 역할 쿠팡 내 신규 플랫폼, 서비스, 솔루션 진행 시 아키텍처 리뷰의 핵심 참가자로 기여 전사 프로젝트를 추진하는 테크 리드 Global Ops Tech 조직 및 쿠팡 내에서 발생하는 기술적 문제에 대한 믿음직한 해결사 프로젝트 오너, 스테이크 홀더, 디자이너들과 협력하여 어플리케이션 개선 또는 신규 구현 업계에서 필수 수준이라 기대되는 품질/시간을 충족시키는데 필요한 지속적인 프랙티스 개선을 성실히 추구 팀 내 애자일 조직 전반에 걸친 베스트 프랙티스 공유와 프로세스 개선, 그리고 이를 통한 엔지니어링 생산성 향상, 기술적인 폭과 깊이를 끌어올림으로써 팀의 발전 도모 자격 조건 빠르게 변화하는 환경 속 엔지니어링 팀 내에서 직접 근무한 경험 10년 이상 복잡한 금융 시스템 설계 및 개발 경력 10년 이상 확장 가능한 고성능 플랫폼 및 데이터 파이프라인을 설계하고 구축한 경험 5년 이상 방대한 양의 데이터 스트리밍 및 실시간에 가까운 데이터 처리에 필요한 빅데이터 스택(Cassandra, Kafka, Spark, Flink, Hive, S3, Redshift 등의 NoSQL 데이터베이스) 관련 탄탄한 지식 및 경험 Java 및 Spring Framework를 활용한 개발 지식 및 AWS 환경에서의 경험 다수 미션, 비전, 로드맵 정의를 위해 여러 부서의 팀과 협업한 경험 프로덕트 및 프로그램 관리 팀과 협력한 경험 전형 절차 및 안내 사항 전형 절차 서류전형 - 전화면접 - 대면면접 – 최종 합격 전형 절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별안내드립니다. 참고 사항 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy/ 서류 반환 정책 본 고지는 『채용절차의 공정화에 관한 법률』 제11조 제6항에 따른 것입니다. 당사 채용에 응시한 구직자 중 최종합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 위 2항 본문에 따라 채용서류 반환 청구를 하는 구직자는 채용서류 반환청구서[채용절차의 공정화에 관한 법률 시행규칙 별지 제3호 서식]를 작성하여 당사 이메일( recruitingops@coupang.com )로 제출하면, 제출이 확인된 날로부터 14일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위 2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다.

ABOUT AIRWALLEX Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles https://www.airwallex.com/en-us/operating-principles to see it in full. HOW YOU'LL MAKE IMPACT Airwallex’s infrastructure teams help keep our globally distributed platform reliable, secure, and available. In this role, you’ll own the network foundations that support our engineers, customers, and financial solutions. - Design, deploy, and maintain LAN, WAN, VPN, and cloud networks supporting Airwallex’s globally distributed platform. - Operate global connectivity, including leased lines, internet connections, and data-centre networks. - Configure and troubleshoot routers, switches, firewalls, load balancers, and cloud networking services across mixed-vendor environments. - Lead network incident response, troubleshooting, post-incident reviews, upgrades, and change activities with minimal business disruption. - Partner with Security, Engineering, IT, and Workplace teams to deliver reliable network solutions, while maintaining diagrams, documentation, runbooks, and operational procedures. - Participate in a global on-call rotation and help ensure our production systems remain secure and highly available. This role is based in Seoul, South Korea. Address: Units 1006, Partners Tower, 83 Gasan digital 1-ro, Geumcheon-gu, Seoul, Republic of Korea, 08589 서울 금천구 가산디지털1로 83, 1006 호(가산동, 파트너스타워) WHAT WE'RE LOOKING FOR ESSENTIALS - 5+ years of hands-on network engineering experience in a production environment. - Strong routing and switching fundamentals, equivalent to CCNA level or above. - Experience with BGP, route filtering, subnetting, IPsec VPNs, network troubleshooting, and change management. - Practical experience with GCP or AWS networking; GCP experience is preferred for this role. - Experience with at least two networking vendors, such as Juniper, Cisco, Palo Alto, Aruba, or Arista. - Working knowledge of Linux and scripting with Python or Bash. - Strong written and verbal English communication skills. - A stable employment history with sustained ownership of production systems. PREFERRED - Experience with Terraform, Git, or CI/CD-based infrastructure automation. - Experience in banking, fintech, or other regulated, high-availability environments. - A relevant networking certification such as CCNA, JNCIA, HCIA, or equivalent. YOU'LL THRIVE HERE IF - You're comfortable owning the roadmap yourself. - You own the outcome and you don't wait for permission to fix what's broken. - You’re comfortable operating across time zones with a globally distributed team, including colleagues based in APAC and EMEA. - You over-communicate by design. You'd rather flag something early than let it become a surprise. - You connect dots across functions and hold the big picture without losing grip on the details. LEARN MORE ABOUT YOUR TEAM The Infrastructure & Productivity team at Airwallex builds the technical foundation that allows our global engineering organization to scale. Our customers are our fellow engineers, and our mission is to make their daily work faster, safer, and more effective by managing the core platforms everyone relies on, from Kubernetes and Kafka to CI/CD pipelines and observability systems. The real challenge lies in keeping these global systems highly reliable and secure while simultaneously optimizing cloud costs, automating manual support, and driving standardization without slowing down product delivery. We operate under the philosophy that best practices should be the path of least resistance, not a forced mandate. If you're a systems thinker who wants to work close to the core of the company and directly shape how we build, deploy, and scale software worldwide, this is where that work happens. APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com http://airwallex.com email address. Please apply only through careers.airwallex.com http://careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. EQUAL OPPORTUNITY Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. Key Responsibilities Design and develop the NPU Management Interface (MI) firmware/software enabling communication between Host/BMC and NPU devices Implement and maintain MCTP, PLDM, and custom MI command handling for out-of-band NPU management, monitoring, and control Develop device-management features over SMBus/I²C, I3C, PCIe VDM, or custom sideband channels Integrate MI functionality into the NPU firmware, including: Health and error reporting Thermal and power telemetry Runtime status, utilization metrics, and debug information Ensure compliance with industry specifications by performing spec-driven design, implementation, and validation Support bring-up, interoperability testing, rack-scale platform integration, and system-level validation Develop test strategies and validation tools based on MCTP and PLDM specifications Perform protocol compliance testing, regression testing, and interoperability verification Minimum Qualifications Strong proficiency in embedded C or C++ Experience with firmware development for NPU/accelerator, GPU, or SoC Understanding of management protocols including MCTP (over I²C/SMBus, I3C or PCIe VDM) and PLDM Experience with low-level interfaces: SMBus/I²C, I3C, SPI, PCIe Ability to interpret complex protocol specifications and convert them into robust implementations Familiarity with device telemetry, sensor frameworks, watchdog/reset flows, and health monitoring Experience with system-level debugging using logic/protocol analyzers and low-level debug tools Knowledge of embedded systems, bare-metal or RTOS environments, and firmware lifecycle flows Preferred Qualifications Experience of BMC firmware stacks such as OpenBMC, Redfish, IPMI, and PLDM device-model implementations Background in spec creation, requirement definition, or standards compliance validation Experience defining FRU data, power/thermal management policies, and diagnostics frameworks Familiarity with secure provisioning, firmware update mechanisms, and lifecycle state management Experience with large-scale datacenter or HPC system integration (rack-level management, telemetry aggregation) Contributions to firmware for accelerator, MCTP/PLDM implementations, or open-source system firmware projects Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

We are looking for Speech AI Evaluation Specialist to support the improvement of AI-generated content in Korean. Job Type: Freelance Location: Korea (work from home) Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want. Start Date: Immediately Duration: TBC Rate: 10 USD per hour Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models? What You’ll Do Participate in short voice conversations with AI models using a designated platform. Follow provided scenarios and prompts during interactions. Evaluate AI responses based on factors such as relevance, accuracy, clarity, and overall quality. Provide objective ratings and feedback according to project guidelines. Complete assigned tasks within established quality and productivity expectations. What we’re looking for: Native-level fluency in Korean English Proficiency: Fluent or advanced proficiency in English (levels B2–C2) AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Offer Flexible schedule Opportunity to earn extra income Timely payments The job is ideal for students, part-timers, or stay-at-home parents #LI-PR15 Vendor Type When applying, please select the option that best describes your working status. Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual. RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.

Match Group AI (MG AI) is the central tech organization that drives innovation across Match Group’s global portfolio, including Tinder, Hinge, Azar, Pairs, Match, BLK, etc . Our mission is to solve the most complex challenges in online dating (e.g., Recommendation, Trust & Safety, Profile Enhancement) by bridging cutting-edge AI research with excellent software engineering. Unlike brand-specific teams (e.g., Tinder, HYPERCONNECT AI), MG AI team offers the unique opportunity to impact the entire Match Group ecosystem. You won't just build for one app; we aim to develop scalable AI solutions that power Tinder, Hinge, and beyond, defining the technological gold standard for the global dating industry. Detailed article: Introduction to Match Group AI Team (written in Korean) While ML Engineers focus on modeling, Machine Learning Software Engineers (MLSEs) at MG AI team focus on the critical bridge between research and production. We ensure that state-of-the-art models (including LLMs and Multimodal systems) are integrated into high-traffic environments, serving millions of users in real-time. We also upload a selection of interesting problems solved by our team's engineers to the Hyperconnect Tech blog (written in Korean). On-device AI Face Verification Pipeline Optimization 10 Python Performance Optimization Tips for High-Performance ML Backends Build ML Services: Design and develop backend services and distributed systems that enable the seamless consumption, scaling, and monitoring of ML models. Build ML Pipelines: Design and develop ML serving pipelines (real-time and batch) to deliver model outputs with low latency and high reliability. Improve Recommendation System: Improve the AI-powered personalized recommendation system to help users find better matches on Match Group’s dating apps (serve better retrieval/ranking/utility models, add better features, etc). Co-Engineering with Brands: Engage in deep technical collaboration with engineering counterparts (Tinder, Hinge, Match, Azar, Pairs, etc.) across various global offices, including Seoul, Palo Alto, LA, Vancouver, Dallas, and Tokyo. 2+ years of experience in software engineering, with a focus on Backend, ML Engineering, or Data Engineering. Strong understanding of CS Fundamentals (data structures, algorithms, operating systems) and distributed system design. Proficiency in at least one modern programming language (e.g., Python, Go, Java, Kotlin, C#) and a "polyglot mindset" to adapt to new stacks quickly. A strong interest in how ML models are built and a passion for solving the engineering challenges of deploying them in the real world. Proficiency in leveraging AI-powered tools (e.g., Claude Code, Codex, Cursor) to accelerate productivity. Professional working proficiency in English. (Able to conduct business meetings and participate in complex discussions without requiring assistance.) Fluent in Korean (Sophisticated professional interactions with native-level precision): Essential for cross-functional collaboration within the Seoul office. Experience with the full ML lifecycle, from model training to production deployment. Experience in building AI-based recommendation system. Experience in developing scalable backend servers (handling millions of users). Experience in developing and serving ML-driven services using frameworks such as vLLM, Triton, Ray Serve, or Seldon. Experience with big data or stream processing frameworks (e.g., Spark, Flink, Kafka) for building robust ML data pipelines. Experience in collaborating with cross-functional teams and diverse organizations. Fluent in English (Sophisticated professional interactions with native-level precision and an understanding of cultural nuances.) Work type: Full-time Legal Entity: Hyperconnect / Brand: Match Group AI Recruitment Process: Resume Review > Live Coding Interview > Technical Interview > Technical Deep-dive & Cultural Alignment Interview > Offer (* Please note that part of the interview process may be conducted in English) For the document screening stage, only successful candidates will be individually notified of the results. Application documents: A detailed, career-based English resume (PDF) in free format This position is open to candidates seeking to transfer as Alternative Military Service Researchers (전문연구요원). For those under this program, service management will be conducted in accordance with the relevant military service exemption laws. #mg #LI-YN1

Match Group AI (MG AI) is the central tech organization that drives innovation across Match Group's global portfolio, including Tinder, Hinge, Azar, Pairs, Match, BLK, and more . Match Group aims to spark meaningful connections for everyone, worldwide, and the MG AI team's role is to apply cutting-edge AI to some of the hardest challenges along that journey, across diverse domains (e.g., Recommendation, Trust & Safety, Profile Enhancement). Unlike brand-specific teams (e.g., Tinder, HYPERCONNECT AI), the MG AI team offers a unique opportunity to impact the entire Match Group ecosystem. You won't just build for one app; you'll help develop scalable AI solutions that power Tinder, Hinge, and beyond, defining the technological gold standard for the global dating industry. Detailed article: Introduction to Match Group AI Team (written in Korean) ML Engineers at MG AI own the model and the metric it optimizes. You turn broad product goals and data into ML problems worth solving, build the models that address them, and measure their impact. Your responsibility covers the decisions around the model as much as the model itself. You choose the optimization target that translates into business results, design how the training data behind that target is collected and processed, and set the online and offline evaluation criteria that determine whether the model solved the problem. You will work across a wide range of ML problems, and the problems change as the products and the technology do. Recent examples from the team: Utility modeling: Move beyond event prediction (whether a user will like another user, whether a user will report someone) to model the utility each event delivers to users and to the system, and optimize for the utility of the system as a whole. Cold start and data scarcity: Build models that work when data is missing or thin — prototyping stages, privacy constraints, rare events — and design the loop that collects the data those models need next. LLM and agentic systems: Leverage LLMs and agentic systems in Recommendation, Trust & Safety, and Profile Enhancement, both as products in their own right and as a way to raise the performance of existing models. Generative model evaluation: Define evaluation metrics for generative models that connect to business outcomes and that the model can be optimized against. Our engineers also publish selected technical work on the Hyperconnect Tech blog (written in Korean). How to Set ML Objectives How Hyperconnect Built an LLM Explanation Policy LLM-as-a-Judge for Explanation Quality You lead complex ML projects end-to-end. Cross-functional teams form around the work you drive, and you carry it from a rough goal through launch to a measurable outcome. Shape the Problem: You are given the goal in broad terms. You make it concrete: what problem the project actually solves, what falls outside it, and what technical direction it takes. Define What Success Means: Translate the goal into a metric a model can optimize, and define the online and offline evaluation criteria that determine whether the target metric improved. Design the Model and the Data Behind It: Choose the modeling approach that fits the problem and the metric you are optimizing. Design how training data is collected, processed, and fed back, so that user behavior in production becomes the data that improves the next model. Drive Execution Across Teams: Align engineers, product partners, and brand counterparts across Match Group's global offices — Seoul, Palo Alto, LA, Vancouver, Dallas, Tokyo — around a shared plan. Keep partners outside your project team aligned, and resolve the blockers that arise outside the team. Project Ownership (most important): A track record of leading a complex ML project from a rough goal to a result you could stand behind — defining the problem, choosing the technical direction, and owning the outcome. You have made consequential technical and product decisions and can explain the trade-offs involved. Depth and Breadth in AI/ML: Broad knowledge across multiple AI/ML domains, with deep expertise in at least one. A PhD in a related field, 5+ years of industry experience, or equivalent capability. Problem Definition and Technical Judgment: You turn broad business and technical goals into ML problems that can be solved and measured, and you reach sound technical decisions under incomplete information. Data Literacy: You use exploratory data analysis to understand what the data can and cannot support, and let what you find shape the problem you take on. ML Frameworks and Tooling: Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX, with the engineering judgment to design, build, and evolve the training, evaluation, and serving systems around production models. Cross-Functional Leadership: Experience leading projects that span multiple functions, and working with stakeholders and leadership outside the project team. Professional Working Proficiency in English: Able to conduct business meetings and participate in complex discussions without requiring assistance. Fluent in Korean: Sophisticated professional interactions with native-level precision. Essential for cross-functional collaboration within the Seoul office. Global Operational Readiness: Ability to accommodate flexible working hours for regular early morning syncs with US teams (ET/PT). Research Track Record: Publications at top-tier AI/ML venues (NeurIPS, ICLR, ICML, ACL, RecSys, KDD, CVPR) or awards in related competitions. Problem Discovery and Initiative: Experience identifying a problem or research direction on your own, without one being handed to you, and carrying it through to a paper or a business result. Experimentation and Causal Analysis: Designing A/B tests, defining target KPIs, and using causal analysis and SQL-based analysis to turn data into decisions. Leading Complex Projects Across Multiple Teams: Experience coordinating engineering projects across multiple teams and taking a product to launch (including engineering lead, PO, or PM roles). Fluent in English: Sophisticated professional interactions with native-level precision and an understanding of cultural nuances. Work type: Full-time Legal Entity: Hyperconnect / Brand: Match Group AI Recruitment Process: Resume Review > Live Coding Interview > Hiring Manager Interview > Technical Interview > Technical Deep-dive & Cultural Alignment Interview > Offer (* Please note that part of the interview process may be conducted in English) For the document screening stage, only successful candidates will be individually notified of the results. Application documents: A detailed, career-based English resume (PDF) in free format This position is open to candidates seeking to transfer as Alternative Military Service Researchers (전문연구요원). For those under this program, service management will be conducted in accordance with the relevant military service exemption laws. 제출해 주신 내용 중 허위 사실이 있거나 관련법 상 근로제공에 결격사유가 있는 경우 채용이 취소될 수 있으며, 필요시 사전에 안내된 채용 절차 외에도 추가 전형 및 서류 확인이 진행될 수 있습니다. 국가보훈대상자는 관계 법령에 따라 우대하오니, 해당되시는 분께서는 지원 시 고지해주시고 채용 시 증빙서류를 제출해주시기 바랍니다. 하이퍼커넥트가 채용하는 포지션에 지원하는 경우, 개인정보 처리에 관하여서는 본 개인정보처리방침이 적용됩니다: https://career.hyperconnect.com/privacy #HPCNT

ABOUT AIRWALLEX Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles https://www.airwallex.com/en-us/operating-principles to see it in full. HOW YOU'LL MAKE IMPACT You’ll own the reliability, security, and day-to-day operation of Airwallex’s Korean production database environment supporting cross-border payment products. You’ll operate and optimise PostgreSQL, Redis, and Redis Cluster environments across Google Cloud, with a secondary AWS footprint, while partnering with local product, engineering, security, and compliance teams and our global DBA team. - Own high availability, replication, failover, backups, and disaster recovery for production database environments. - Drive compliance with Korean data residency and security requirements across backups, replicas, and snapshots. - Build automation for provisioning, configuration, access management, and operational processes using scripts, software, and infrastructure-as-code. - Improve database reliability and performance through monitoring, alerting, schema standards, indexing, query optimisation, and incident troubleshooting. - Strengthen privileged access, change approval, compliance evidence, and operational documentation for Korean production databases. - Partner with local and global teams to improve database security, operational efficiency, and on-call readiness. This role is based in Seoul, South Korea. Address: Units 1006, Partners Tower, 83 Gasan digital 1-ro, Geumcheon-gu, Seoul, Republic of Korea, 08589 서울 금천구 가산디지털1로 83, 1006 호(가산동, 파트너스타워) WHAT WE'RE LOOKING FOR ESSENTIALS - 4+ years of experience administering production relational databases and live transactional workloads. - Strong PostgreSQL experience, including high availability, replication, and cluster management. - Experience with Patroni, pgpool-II, PgBouncer, or similar failover and connection-pooling tools. - Strong Redis and Redis Cluster administration experience. - Experience operating databases on a major public cloud, preferably Google Cloud. - Proficiency in Linux, shell scripting, and at least one programming language. - Strong analytical, communication, and problem-solving skills. - Strong ownership and documentation practices. - Business-level English and professional Korean. PREFERRED - Experience with distributed databases, Kafka, Elasticsearch, or ClickHouse. - Experience with Terraform, Ansible, or similar infrastructure-as-code tools. - Experience with database containerisation or Kubernetes. - Experience in a Korean bank, payments company, or licensed fintech. - Familiarity with Korean data residency, network separation, access control, or audit requirements. - Experience supporting regulatory examinations or external audits. - Experience building or taking ownership of a database environment from the ground up. YOU'LL THRIVE HERE IF - You own the outcome and you don't wait for permission to fix what's broken. - You hold yourself to a high standard even when no one is watching. Quality and accountability aren't external expectations, they're internal ones. - You're comfortable with ambiguity. Give you a problem, not a prescription, and you'll run with it. - You say what you mean. You're direct, but you lead with respect. - You simplify complexity rather than hiding behind it. LEARN MORE ABOUT YOUR TEAM The Infrastructure & Productivity team at Airwallex builds the technical foundation that allows our global engineering organization to scale. Our customers are our fellow engineers, and our mission is to make their daily work faster, safer, and more effective by managing the core platforms everyone relies on, from Kubernetes and Kafka to CI/CD pipelines and observability systems. The real challenge lies in keeping these global systems highly reliable and secure while simultaneously optimizing cloud costs, automating manual support, and driving standardization without slowing down product delivery. We operate under the philosophy that best practices should be the path of least resistance, not a forced mandate. If you're a systems thinker who wants to work close to the core of the company and directly shape how we build, deploy, and scale software worldwide, this is where that work happens. APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com http://airwallex.com email address. Please apply only through careers.airwallex.com http://careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. EQUAL OPPORTUNITY Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

About Coupang We exist to wow our customers. We know we're doing the right thing when we hear our customers say, "How did we ever live without Coupang?" Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies in the world, establishing an unparalleled reputation as a dominant and reliable force in South Korean commerce. We offer the best of both worlds: a startup culture backed by the resources of a large, global public company. This fuels our continuous growth and enables us to launch new services at remarkable speed. We are entrepreneurial builders surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people who love to roll up our sleeves and make a direct impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve complex problems and break traditional trade-offs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. About the Team The Coupang Catalog Team is responsible for hosting billions of products in Coupang's catalog and dynamically processing hundreds of millions of daily updates to provide the single source of truth that powers the online buying experience for millions of customers. We strive to deliver a world-class platform where customers find complete, accurate, and trustworthy product information without friction and at the lowest prices. To achieve this at scale, we continuously invest in cutting-edge AI architectures—leveraging modern Large Language Models (LLMs) and advanced machine learning—to ensure maximum precision, dynamic scalability, and bulletproof platform reliability. About the Role The Director of Catalog Product will leverage deep expertise in the latest LLM technologies, Generative AI, and advanced machine learning (NLP/NLU, Deep Learning, Computer Vision, Algorithmic Modeling) to pioneer next-generation e-commerce solutions. You will design, build, and scale a diverse portfolio of AI-driven products, automation tools, and catalog features that transform how product data is structured, enriched, and presented across Coupang’s vast e-commerce ecosystem. Operating in a high-growth, rapidly evolving, and often ambiguous environment, you must thrive amidst constant change while maintaining an uncompromising bar for product quality and execution. You will navigate high degrees of operational complexity and drive strategy across international cohorts of senior stakeholders in South Korea, China, and the US (including Retail, Pricing, 3P Marketplace, Search & Discovery, and Finance). Role Overview Set the vision and strategic roadmap for Coupang's Catalog platform, pioneering the application of cutting-edge LLMs and Gen AI to solve complex e-commerce challenges (e.g., catalog auto-enrichment, dynamic attribute extraction, automated taxonomy classification, seller content optimization, and fraud/quality detection). Lead the entire product lifecycle from conceptual AI frameworks through to production implementation in a high-velocity, continuous-deployment ecosystem. Navigate ambiguity with clarity and conviction, establishing structured roadmaps, making clear trade-off decisions, and maintaining a high standard of quality despite fast-moving constraints. Drive executive alignment across multi-regional leadership in Engineering, Data Science, Product, Operations, and Infrastructure. Establish metrics and build automated mechanisms to track performance, system precision, and operational efficiency across billions of catalog entities. Basic Qualifications 10+ years of product management experience successfully developing and launching innovative tech products at a tier-1 technology company. Proven track record of applying state-of-the-art Large Language Models (LLMs), Generative AI, and ML frameworks to complex, high-scale e-commerce or consumer marketplace applications. Demonstrated ability to thrive in highly ambiguous, fast-paced environments, maintaining momentum and producing top-quality outputs under tight timelines and high expectations. End-to-end experience leading product strategy, establishing roadmaps from conception to launch, defining GTM strategies, and leading complex technical design discussions. Deep understanding of the modern AI/ML software stack, model evaluation frameworks, and deployment of LLMs at scale. Experience managing technical and design direction for complex, large-scale distributed systems. Hands-on mastery of agile methodologies in high-velocity environments (rapid prototyping, A/B testing, data-driven evaluation, and fast iteration). Expert capability in using quantitative research, data analysis, and rigorous metrics to drive product decision-making across the product lifecycle. Solid grasp of multi-sided e-commerce marketplace models, catalog architectures, and pricing dynamics. Experience collaborating with and leading cross-functional teams across multiple international geographies.

Match Group AI Team Introduction Match Group AI (MG AI) is the central tech organization that drives innovation across Match Group's global portfolio, including Tinder, Hinge, Azar, Pairs, Match, BLK, etc. Match Group aims to spark meaningful connections for everyone, worldwide, and the MG AI team's role is to bring cutting-edge AI to unblock the challenges along that journey, across diverse domains (e.g., Recommendation, Trust & Safety, Profile Enhancement). Unlike brand-specific teams (e.g., Tinder, HYPERCONNECT AI), MG AI team offers the unique opportunity to impact the entire Match Group ecosystem. You won't just build for one app; we aim to develop scalable AI solutions that power Tinder, Hinge, and beyond, defining the technological gold standard for the global dating industry. Detailed article: Introduction to Match Group AI Team (written in Korean) Working as a Product Manager at MG AI While engineers focus on building and shipping models, Product Managers at MG AI own the why and the what. We translate complex, often ambiguous business challenges from Match Group's brands into clear ML product strategy, and we drive execution across a globally distributed team. The PMs who thrive here are strategic troubleshooters with a bias for action: they spot what is blocking progress and drive it to resolution instead of waiting. This is a communication-first role, but that does not mean coordination alone. Your core job is to figure out which problem is worth solving, articulate it in clear and precise language, and drive alignment among a diverse set of stakeholders across cultures and time zones. You own the product thinking end to end: framing the problem, shaping the plan, and defining what we build. You will work on projects that leverage a wide range of technologies, from on-device ML modules to server-side AI models and LLMs. You do not need to be an ML expert on day one, but you must learn fast and become technically fluent enough to make sound product calls, because the technology and the problems keep changing. Frame the Problem: Figure out which problems are worth solving and why, and articulate them in clear, precise language that a diverse team can rally around. Shape the Roadmap: Decide what matters most, sequence the work, make the tradeoffs, and write PRDs, keeping partners aligned as priorities shift. Navigate Complex Stakeholder Maps: Act as the connective tissue between Match Group's brands, and the many functions within them, and MG AI engineering. Read the unspoken dynamics, build alignment across brands, functions, cultures, and time zones, and keep everyone moving in the same direction. Hands-on Execution: Stay deeply involved in the details. Use experiments, behavioral data, and research to guide your calls when signals are imperfect, unblock engineering, and make the small decisions that keep a project moving. Exceptional Communication & Stakeholder Management (most important): You excel at managing stakeholders in complex, high-ambiguity situations. You read between the lines, sense interpersonal and organizational dynamics, and build alignment across teams with competing priorities. This is the single most important quality for this role. 4-6 years of product management experience in the Tech domain, ideally on complex systems or data or ML-driven products. Fast Learning Curve & Strong Will to Learn: You do not need to be ML-savvy today, but you must ramp quickly and become technically fluent enough to shape direction on model behavior and tradeoffs without needing to be deeply technical. Fluent in English (Able to conduct business meetings and participate in complex discussions without requiring assistance.) Fluent in Korean (Sophisticated professional interactions with native-level precision and an understanding of cultural nuances.) Essential for cross-functional collaboration within the Seoul office. Strong Ownership & Bias for Action: A track record of driving problems to resolution without waiting for permission. You are comfortable operating with ambiguity and making principled calls when the signals are imperfect. Analytical Rigor: Comfort with data. You can define metrics, design and read experiments, and let evidence guide your decisions. Global Operational Readiness: Ability to accommodate flexible working hours for regular early morning syncs with US teams (EST/PST). A Point of View on AI Tooling: A clear sense of how AI tools can raise the quality and speed of product work, and a habit of using them (e.g., Claude, ChatGPT, Cursor). ML Product Experience: Exposure to ML-driven products (Recommendation, Search, Ranking, or Trust & Safety) and a working understanding of the ML lifecycle, from data to online A/B testing. Matching Products Experience: Experience with products that match people or content (e.g., dating, marketplaces, social feeds, or hiring). Internal Platform / B2B2C Experience: Success in a role where your primary customers were other internal business units or engineering teams. Cross-functional Collaboration: Experience working with diverse, globally distributed teams and organizations. Work type: Full-time Legal Entity: Hyperconnect / Brand: Match Group AI Recruitment Process: Resume Review > Hiring Manager Interview > 3 Panel Interviews > Cultural Alignment Interview > Offer (* Please note that part of the interview process may be conducted in English) For the document screening stage, only successful candidates will be individually notified of the results. Application documents: A detailed, career-based English resume (PDF) in free format #mg #LI-YN1

About Moloco: Moloco is an AI-native performance advertising company, bringing the power of AI advertising to the open internet. Founded in 2013 by machine learning engineers who had built AI advertising systems inside the world's largest technology companies, Moloco began from a shared mission: to build that same engine for the open internet. Today, Moloco is one company with two businesses, built on the same compound AI system. Moloco Ads is our AI-native performance advertising platform, helping mobile app marketers acquire, retain, and re-engage high-value users across the open internet. Moloco Commerce Media is our AI-native retail media platform, enabling retailers and marketplaces to turn their platforms into thriving ad businesses. Both are powered by CARA (Compound Ad Recommendation Architecture) , the AI system behind every Moloco product. At Moloco, we bring together those who've already solved hard problems and those with the drive to. Here, we work on some of the complex problems in AI advertising, at a scale and level of sophistication very few companies can offer. Come build what's next. About the Role We seek exceptional machine learning engineers to join us in building a state-of-the-art machine learning system. Moloco's ML system processes over 6 million bid requests per second at under 7ms prediction latency, and our deep learning models power CTR/CVR prediction, ranking, and bid price optimization for live auction decisions at planet scale. Moloco is an engineering company founded by top-tier engineers, and machine learning is the core of Moloco's engineering systems. We understand the value of a strong engineering team and strive to hire only the best engineers. As a Machine Learning Engineer, you will contribute to the full machine learning lifecycle — from model development and experimentation to data pipeline maintenance and production deployment. This role is designed for engineers who have solid machine learning and software engineering fundamentals, can execute end-to-end tasks with increasing independence, and are eager to grow through hands-on work in one of the most technically demanding real-time ML environments in the industry. What You Will Do Develop and iterate on deep learning models for real-world prediction problems, including CTR/CVR estimation and ranking, with guidance on modeling choices and objective function design. Build and maintain data pipelines for model training and serving using GCP products such as Dataflow, BigQuery, BigTable, and open-source frameworks such as Apache Beam, PySpark, and Iceberg. Support production model serving, monitor model behavior in live environments, and contribute to debugging and improving model quality. Design and run offline experiments — define evaluation metrics, test hypotheses, and document findings to contribute to team-level modeling decisions. Collaborate with fellow Machine Learning Engineers, Applied Scientists, and Infrastructure engineers to deliver projects end-to-end within defined scopes. Grow your understanding of Moloco's AdTech domain — including auction mechanics, bidding systems, and advertising outcome modeling — and apply that context to your work. Basic Qualifications (3 Titles) Machine Learning Engineer II Bachelor's degree or higher in Computer Science or a related technical field, or equivalent professional experience. 2+ years of hands-on software development experience in machine learning or deep learning, with at least some exposure to production systems beyond academic or personal projects. Working knowledge of core machine learning modeling concepts, including classification and regression model selection, loss function design, bias/variance trade-offs, calibration, and offline evaluation. Solid foundation in statistics and probability, including conditional probability, common distributions, maximum likelihood estimation, hypothesis testing, and basic A/B test interpretation. Experience building or contributing to data pipelines or model serving systems, with an understanding of the engineering trade-offs involved. Proficiency in at least one programming language such as Python, Java, or Go. Fluent English communication skills. Senior Machine Learning Engineer Bachelor's degree or higher in Computer Science or a related technical field, or equivalent professional experience. 5+ years of hands-on software development experience in machine learning and deep learning, with a clear focus on production systems rather than research prototyping. Strong machine learning modeling depth, including model selection for classification, regression, and ranking, loss function design, calibration, class imbalance handling, and bias/variance trade-off reasoning. Solid foundation in statistics and probability, including Bayesian inference, maximum likelihood estimation, hypothesis testing, A/B experiment design and interpretation, and probabilistic reasoning under uncertainty. Demonstrated experience designing and operating large-scale machine learning systems under real-world constraints, including model-serving architectures, feature stores, and training pipelines. Proficiency in at least one programming language such as Python, Java, or Go, with the ability to write clean, robust, production-quality code. Fluent English communication skills. Staff Machine Learning Engineer Bachelor's degree or higher in Computer Science or a related technical field, or equivalent professional experience. 8+ years of hands-on software development experience in machine learning and deep learning, with a demonstrated focus on large-scale production systems. Proven track record of driving technical direction across teams or domains — not just executing projects, but defining the approach, resolving ambiguity, and influencing how others solve problems. Expert-level machine learning modeling depth, including objective function design, calibration, multi-task learning, ranking, and the ability to reason about trade-offs across the full modeling lifecycle. Strong foundation in statistics and probability, including Bayesian inference, causal reasoning, experiment design, and the ability to design and interpret complex A/B tests with confidence. Deep experience designing and operating large-scale machine learning systems end-to-end under real-world constraints, including model serving architectures, feature pipelines, retraining strategies, and observability. Proficiency in at least one programming language, such as Python, Java, or Go, with the ability to write and review production-quality code as part of a team. Fluent English communication skills, including the ability to align technical and non-technical stakeholders at the leadership level. Preferred Qualifications (We sincerely encourage you to apply even if you don't meet all of the preferred qualifications.) Relevant experience in AdTech. MS or Ph.D. degree in Computer Science or related technical field Supporting Your Best Work and Your Best Life: Our benefits are designed to support our people in doing their best work and living well, at work and beyond. Benefits vary by country, employment type, and eligibility. Connect with a recruiter to learn more about benefits in your region. Moloco Values: Lead with Humility: Everyone’s voice is respected, valued, and heard. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible. Create Real Value: We pursue the most impactful opportunities with intensity and rigor. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We’re one team working towards one vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom AI Use in Interviews Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice .

WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We’re seeking an experienced Engineering Program Manager to join Cohere’s customer-facing Engineering Program Management team. We need someone with curiosity, drive, independence, and leadership, who has hands-on experience working directly with customers and managing projects for enterprise-grade software or enterprise-focused machine learning solutions. In return, you’ll have the unique opportunity to shape Cohere’s operations, collaborate with leading minds in the LLM space, work directly with our Strategic Customers as well as Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform , Product and Go-to-Market teams, and be the “technical” voice of Cohere for the customer. You will get a chance to create extremely high-impact contributions to our fast-growing company, product and culture. Please Note: This role is open to candidates based in Korea As an Engineering Program Manager/ Technical Program Manager, you will: - Communicate: Provide clear, timely, and objective communication across the tech organization, Cohere teams, leadership, and most importantly - our strategic customers and external partners. - Optimize: Break down complex issues into strategies, driving engineering alignment with product, business, and marketing while fostering collaboration. - Plan: Create and manage program/project schedules, identify dependencies, manage risks, and drive organizational alignment. - Execute: Ensure on-time delivery, identify development needs, and establish checkpoints for status updates. - Problem solve: Proactively identify and resolve issues, coordinate cross-functional dependencies, and prioritize impacts to schedule and product quality. You may be a good fit if: - You have at least 5 years of experience as an Engineering or Technical Program Manager, with at least 2 years in customer-facing technical delivery and operations focused on enterprise-grade AI software/solutions - Knowledge or experience with LLM training or optimization would be a key differentiator - You are problem-focused and making customers successful really excites you - You are detail-oriented and extremely self-organized. You love enabling people and teams around you, and are excellent at capturing detailed notes/action items during highly technical meetings and tracking progress. - You have a Bias for Action - you are very execution focused and you like getting things done. - You have experience working with cross-functional teams to get technical products, services or solutions shipped to an internal or an external customer and can independently own tracking and reporting across multiple work-streams, with owners in different time-zones. - You are comfortable holding leaders and individual contributors accountable. You can be assertive while remaining diplomatic. You are not afraid to follow up with people to ensure shipping within committed deadlines. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. LEAD / STRATEGISE / TRANSFORM. SUMMARY: As a Project Manager, you function as the "CEO of the Project," taking full accountability for Fixed-Fee discipline and the governance of complex technical lifecycles, including AI/ML and Lakehouse. You are a decisive facilitator with high situational awareness, providing value-based trade-off options when scope adjustments are needed. WHY THIS ROLE? - Leadership: Determine methods and procedures on new assignments and coordinate the activities of other personnel. - Strategic Shift: This role represents a fundamental shift from managing tactical tasks to managing broader organizational outcomes. - Complexity: Own high-visibility, strategic implementations for major enterprise accounts. WHAT YOU’LL DO: - High-Stakes Delivery: Manage complex, Fixed-Fee implementations with rigorous governance. - Work Structures: Create granular Work Breakdown Structures (WBS) and associate effort and resource naming to specific tasks. - Financial Governance: Apply Critical Path Methodology (CPM) and Earned Value Management (EVM) for accurate risk forecasting. - Cross-functional Alignment: Network with key contacts outside your own area of expertise to ensure delivery success. - Continuous Improvement: Present "Lessons Learned" decks to regional teams to optimize future upstream pre-sales and scoping. - Service Selling: Support pre-sales activities by identifying upsell opportunities and contributing to service scoping. OUR IDEAL CANDIDATE WILL HAVE: - Typically 2-5 years of field experience in a services delivery or technical implementation role. - Typically 5-8 years of related experience in technical project management. - Experience in data engineering is a strong plus. - Bachelor’s degree required; Master’s degree preferred. - Advanced Smartsheet/Project modeling and the ability to query Snowflake metadata for consumption reporting. - Professional working proficiency in English - Demonstrated proficiency in EVM and CPM to identify and mitigate schedule/cost variances. - SnowPro Core (required) and PMP preferred. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Solutions Architect on GitLab's South Korea team, you'll be a trusted advisor to enterprise prospects, customers, and partners. You'll help them understand how GitLab's AI-powered DevSecOps platform addresses technical requirements and business objectives across the software development lifecycle. Experience working with Chaebol’s or other large conglomerate organizations is highly valued given the accounts you'll support. Using your technical expertise, knowledge of cloud and modern software development practices, and customer empathy, you'll guide organizations through digital transformation from planning through monitoring. You'll partner closely with our Account Executives and cross-functional teams. You'll own technical evaluations, including proofs of value and workshops, shape solution architectures, and represent the voice of the customer to product management. You'll also support GitLab's South Korea go-to-market partners, who act as our regional professional services arm, by helping enable and guide their technical delivery. Your work will drive successful platform adoption, support revenue growth through solution selling, and build long-term, trust-based relationships that show GitLab's differentiated position in an AI-driven DevSecOps landscape. What you’ll do Lead technical discovery, demonstrations, and validation to show how GitLab's AI-powered DevSecOps platform meets customers' technical and business needs across the full software development lifecycle. Own the technical evaluation process, including solution design, proofs of concept or proofs of value, workshops, and the technical components of tenders, audits, and value stream assessments. Collaborate with Account Executives and regional sales teams across South Korea to shape and execute account strategies that support new customer acquisition and expansion, with a focus on enterprise accounts. Support and enable GitLab's South Korea go-to-market partners, who operate as the region's professional services arm, to promote consistent technical delivery and best practices across partner-led engagements. Represent GitLab at online and in-person marketing events, including webinars, industry events, booth sessions, presentations, roundtables, panels, demonstration days, and hackathons. Build trusted relationships with technical practitioners and business leaders, guiding them through GitLab-supported transformation and helping them become GitLab advocates. Advise customers on modern software development, continuous integration and continuous deployment, security, and cloud practices, challenging existing approaches to improve return on investment. Serve as the voice of the customer across product management, engineering, sales, and marketing by sharing feedback, use cases, and competitive insights that inform the product roadmap and positioning. What you’ll bring Experience engaging with enterprise customers in technical presales, consulting, or similar roles and guiding them through solution design and evaluation. Proficiency across the software development lifecycle, including modern DevSecOps practices, continuous integration and continuous deployment workflows, and GitLab or comparable source control and collaboration platforms. Practical knowledge of cloud computing concepts and related technologies, with the ability to discuss deployment, security, and operations options with technical teams. Ability to lead technical evaluations such as proofs of concept or proofs of value, contribute to tenders or audits, and design and run workshops or value stream assessments. Clear technical communication, presentation, and relationship-building skills, with the ability to adapt messages for practitioners and senior business and technical decision-makers and represent customer perspectives across Product Management, Engineering, Sales, and Marketing. Motivation to continue developing professionally by learning new technologies, deepening GitLab platform expertise, and applying transferable experience from related fields. Fluency in Korean and English. About the team The Solutions Architect team is part of GitLab's Sales organization and serves as the technical counterpart to Account Executives. This role focuses on Enterprise opportunities across South Korea and works with Account Executives, the broader go-to-market team, and regional partners that provide Professional Services. The team advises on architecture, runs technical evaluations such as proofs of value, and guides customers through digital transformation. We collaborate asynchronously with Sales, Product Management, Engineering, and Marketing to share effective practices, create reusable technical resources, and represent the voice of the customer. Our focus is helping customers modernize software delivery, adopt GitLab at scale, and navigate a changing AI and DevSecOps landscape. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Overview: Are you a web-savvy, search expert with a talent for finding things online by using just a few words? Do you want to influence the future of global AI search? If so, we want you on board! Working on behalf of RWS, you will test and evaluate how our clients’ search engine responds to everyday searches from everyday people. Using your search expertise, you will work through a variety of assignments playing a crucial part in enhancing AI data which will be used to improve the online search engine experience of our clients’ users. You: - Inquisitive by nature with a real interest in AI. - Have excellent skills in online research. - Enjoy working in a fast-paced environment. - Continually maintain quality and accuracy SLAs. - Have the self-discipline to stick to a schedule and get the work done despite the potential distractions of a home office. - Be a critical thinker with ability to analyze information and assess its relevance or significance. Quick overview of the flexible, part-time job: Language: English and Korean proficiency. Location: South Korea (Work from Home). Schedule: E.g. 8-20 h/week. Avg. 15 h/weekly. Pay: Up to 10 USD/hour. Who Should Apply: Ideal for freelancers, students, stay-at-home parents, or anyone seeking flexible remote work to improve AI models. No previous experience is required. Role Description: Join RWS Group as an evaluator to enhance search engine results. Provide feedback on text, audio, images, and videos to refine AI data used by major search engines, social media sites, streaming platforms and more. Currently reside in South Korea . Strong understanding of popular culture in your locale (South Korea). Commit to a minimum of 5 hours per week, maximum of 20 hours per week. Must sign and adhere to project NDA. Have a smartphone and personal computer with reliable internet connection. Reliable antivirus software to protect your computer as you surf the web. Must pass training modules and a required test created by our client before commencing work. Only one Search Quality Rater per household. Must be 18+ years old. Flexible home-based work. Work-life balance. Potential side-hustle. Payments via PayPal/Bank Account. Access to more opportunities through our TrainAI Community. Vendor Type When applying, please select the option that best describes your working status. Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual. #LI-PR15 RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: - Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. - Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. - Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. - Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life. - Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact. - Scope out potential applications in new industries and expand our AI solutions across different sectors globally. - Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. - Collaborate with our Research teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap. - Build and deliver compelling demos of ElevenAgents and our broader AI technology to new and existing customers. - Collaborate daily with customers' engineering and executive teams to ensure agents reach production and deliver measurable business outcomes. Requirements - 3+ years of experience working with customers in a technical capacity. Direct enterprise customer experience is preferred. - Experience in product development, delivery, and change management - Commercial instinct: comfort engaging in deal conversations, structuring value propositions, and navigating enterprise sales cycles alongside GTM partners. - Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams. - Excellent communication and problem-solving skills; particularly the ability to simplify complex technical concepts and structure clear logic in pursuit of optimal solutions. - A proven track record of taking ownership of complex, ambiguous projects and delivering results. - Adaptability to work across different customer environments, industries, and technical use cases. - Technical aptitude and familiarity with common LLM, tooling and AI agent frameworks. - Ability to creatively map enterprise use cases and workflows to AI systems LOCATION This role is remote-first, so it can be executed from anywhere in South Korea, with a preference of Seoul. Expect regular travel for customer onsite. Fluency in English and Korean and a deep understanding of the regional and cultural nuances is required. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. About the Role Designs and implements the low-level runtime stack that drives FuriosaAI's NPU hardware to its theoretical limits — from device driver interfaces and DMA-based I/O to kernel execution scheduling, multi-node inference, and embedded firmware. Key Responsibilities Develops the low-level runtime responsible for DMA-based I/O operations and kernel execution scheduling, maximizing inference throughput while minimizing end-to-end latency. Builds and optimizes asynchronous execution pipelines that orchestrate data movement and compute across the NPU hardware. Enables multi-node inference by implementing foundational communication primitives, including RDMA-based data transfer for low-latency, high-bandwidth inter-node operations. Develops embedded firmware (PERT) that runs on the NPU's integrated ARM core, managing on-device scheduling, synchronization, and hardware resource control. Profiles and tunes system-level performance across the full runtime stack — from firmware to user-space — to eliminate bottlenecks in real-world inference workloads. Minimum Qualifications BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience 5+ years of relevant industry experience or equivalent practical experience in systems programming using Rust, C, or C++ Solid understanding of computer architecture fundamentals, including memory hierarchy, cache coherency, operating systems, DMA, interrupts, and MMIO Strong communication skills, with the ability to gather requirements and drive technical alignment across teams Preferred Qualifications Deep expertise in low-latency runtime systems, embedded firmware development, or high-performance I/O — especially in the context of accelerator hardware. Experience designing and implementing low-latency asynchronous execution models and scheduling systems. Experience with DMA engines, scatter-gather I/O, or other zero-copy data transfer mechanisms. Experience developing embedded firmware for ARM-based processors (bare-metal or lightweight RTOS environments). Familiarity with RDMA technologies and high-performance networking for distributed or multi-node systems. Experience with CUDA low-level runtime internals such as CUDA Graphs, stream-based execution, and asynchronous kernel launch optimization. Experience with kernel-level performance optimizations (e.g., Linux kernel modules, eBPF, perf, ftrace). Understanding of deep learning inference workloads and their hardware execution characteristics. Experience with profiling and performance tuning of system software on accelerator or SoC platforms. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. Software Engineer, Build Systems & Release Infrastructure Seoul, South Korea (Hybrid) About the Job Owns how FuriosaAI's software gets built, versioned, packaged, and shipped — turning a multi-language, multi-repository codebase (Rust, Python, C/C++) into reproducible, well-versioned releases of the various packages that make up the Furiosa SDK and that customers and the open-source community can rely on. This role centers on build systems, dependency management, packaging, and release engineering. Key Responsibilities Designs and maintains the build systems and toolchains across a polyglot codebase (Cargo, CMake, Python packaging), producing reproducible, hermetic builds across supported platforms. Owns the release engineering process for the various packages that make up the Furiosa SDK — versioning schemes, release branching, tagging, changelog generation, and coordinated release cuts across multiple interdependent packages. Manages dependency alignment across the SDK's interdependent native components, Python packages, and runtime libraries — defining version constraints and compatibility policy so releases assemble cleanly. Builds and operates packaging and distribution pipelines for publicly distributed artifacts — Python wheels (PyPI), APT/RPM packages, and Docker images — including Docker image builds, versioned tagging, signing, metadata, and package repository and container registry maintenance. Designs and manages major, minor, and hotfix release workflows, including release planning, stabilization, backports, validation, and end-of-life processes. Develops CI automation for build, test, integration, and release, with a focus on build correctness, artifact integrity, caching, and fast, reliable release validation. Resolves OS- and platform-specific build issues and upstreams fixes to the open-source community where appropriate. Minimum Qualifications Bachelor's degree in Computer Science or equivalent work experience. 3+ years in build or release engineering, developer infrastructure, or systems software with significant build and packaging responsibility. Strong proficiency in Python and shell scripting (e.g., Bash) for automation. Hands-on experience with build systems across compiled and interpreted languages (e.g., Cargo, CMake, Make, Bazel) and with C/C++, Rust, and Python toolchains. Fluency with Git and experience setting up and maintaining continuous integration systems. Preferred Qualifications Active contributor to the build/release and CI/CD systems of a real-world software project Experience with Python packaging and distribution (wheels, manylinux, PyPI) and native extension builds (PyO3, pybind11, or C extensions). Experience maintaining APT/RPM repositories and OS package distribution. Experience managing reproducible builds, artifact and version management, and dependency resolution across many interdependent packages. Experience designing and operating CI/CD with GitHub Actions or similar, including build caching and matrix builds. Experience releasing software for GPUs or other accelerator devices, including hardware-dependent build and test pipelines. Familiarity with static analysis, code coverage, supply-chain/vulnerability scanning, and artifact signing. Experience building across multiple operating systems and distributions (e.g., Ubuntu, CentOS/RHEL). Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer's working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU'LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Strong English and Korean communication skills. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You've been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

🌍 ABOUT HOPAE At Hopae, we're building the world's most trusted digital identity platform — private, secure, and built for real life. We believe identity should be in your control — not locked behind outdated systems or centralized gatekeepers. Our product, Hopae Connect, lets businesses verify real people across borders through a single API — no need to build country-by-country integrations themselves. Our technology powers instant, privacy-first verification across fintech, credentials, supply chain, and gaming — for IDV providers, e-signature platforms, and enterprises who need identity to just work, everywhere. Backed by top global investors, Hopae operates across Seoul, Paris, Luxembourg, and San Francisco, bringing together exceptional talent from over 10 nationalities. We move fast, think globally, and build products that define the future of identity. 💡 WHY YOU’LL LOVE IT HERE - Global DNA: Work with exceptional peers across Seoul, Paris, and San Francisco - High Impact: Build technology shaping the global trust and identity landscape - Ownership Culture: No micromanagement — full trust, full accountability - Elite Standards: Work fast, learn fast, and grow with world-class peers - Inclusive & Respectful: 10+ nationalities, diverse perspectives, one vision - Growth Mindset: Access mentorship, leadership visibility, and continuous learning 🎯 WHAT YOU'LL DO Hopae connects businesses to government eIDs and identity systems worldwide through a single platform — across fintech, credentials, supply chain, and gaming. As a Senior Software Engineer at Hopae, you own real problems end to end, across the full stack, in a team where the mission moves fast and the scope is broad by design. This is not a role where you pick a lane and stay in it. You'll work across backend, integrations, infrastructure, and tooling — whatever the product needs. If you thrive in environments where ownership is total and the work is never the same twice, this is for you. - Build and scale the core verification platform — API architecture, verification lifecycle, async processing, event delivery, and production reliability - Connect and operate external identity providers — building adapters, normalization layers, health monitoring, and the tooling that makes adding the next provider faster than the last - Build the infrastructure that takes integrated capabilities to proven in production — developer tooling, E2E test infrastructure, reference environments, and go-live systems - Own quality end to end — you write the tests, you monitor production, you fix what breaks - Investigate failures independently, identify root causes, and fix the system rather than the symptom - Lead projects and technical initiatives — define the approach, align the team, and drive execution through to production - Mentor junior engineers — through code reviews, pair programming, and direct feedback that raises the bar for everyone - Participate in the hiring process — interview candidates and help shape the engineering team we're building - Work directly with Product, partners, and customers when solving a problem requires it — you're not behind a ticket queue 🧠 WHO YOU ARE - 5+ years of software engineering experience — you've personally designed, operated, and taken responsibility for meaningful production systems - Strong backend fundamentals — APIs, distributed systems, async processing, and production reliability are second nature; our stack is TypeScript / JavaScript - Full stack in practice — you go where the problem is, whether that's backend, infrastructure, tooling, or frontend when needed - You own quality: testing, observability, and operational readiness are part of how you work, not someone else's job - Proven ability to lead projects and technical decisions — you set direction, make trade-offs, and bring others with you - Natural mentor — you invest in the people around you and make the team better, not just the codebase - High ownership, low ego — you drive ambiguous problems to resolution without waiting to be told exactly what to do - Based in Seoul; comfortable working in a global, multicultural, English-first environment ⚡️ FAST FACTS - 💰 $13.5M+ raised from top global investors - 📦 2.6M+ downloads of our sd-jwt-js library - 🌍 10+ nationalities across 3 hubs - 🔬 82 eID research projects completed - 🌐 3 projects accepted into the OpenWallet Foundation 🎁 BENEFITS & CULTURE - Unlimited PTO - Remote-friendly work model - Real ownership from Day 1 - High-impact, global product - Multicultural, respectful team 🧭 INTERVIEW PROCESS 1. Recruiter Intro Call (30 min) – Get to know Hopae 2. Functional or Technical Interview (45 min) – Dive into your skills 3. Culture Fit Conversation (45 min) – Collaboration & alignment 4. Offer 🎉 Note: The process may vary slightly depending on the role.

🌍 ABOUT HOPAE At Hopae, we're building the world's most trusted digital identity platform — private, secure, and built for real life. We believe identity should be in your control — not locked behind outdated systems or centralized gatekeepers. Our product, Hopae Connect, lets businesses verify real people across borders through a single API — no need to build country-by-country integrations themselves. Our technology powers instant, privacy-first verification across fintech, credentials, supply chain, and gaming — for IDV providers, e-signature platforms, and enterprises who need identity to just work, everywhere. Backed by top global investors, Hopae operates across Seoul, Paris, Luxembourg, and San Francisco, bringing together exceptional talent from over 10 nationalities. We move fast, think globally, and build products that define the future of identity. 💡 WHY YOU’LL LOVE IT HERE - Global DNA: Work with exceptional peers across Seoul, Paris, and San Francisco - High Impact: Build technology shaping the global trust and identity landscape - Ownership Culture: No micromanagement — full trust, full accountability - Elite Standards: Work fast, learn fast, and grow with world-class peers - Inclusive & Respectful: 10+ nationalities, diverse perspectives, one vision - Growth Mindset: Access mentorship, leadership visibility, and continuous learning 🎯 WHAT YOU'LL DO Hopae connects businesses to government eIDs and identity systems worldwide through a single platform — across fintech, credentials, supply chain, and gaming. As a Software Engineer at Hopae, you own real problems end to end, across the full stack, in a team where the mission moves fast and the scope is broad by design. This is not a role where you pick a lane and stay in it. You'll work across backend, integrations, infrastructure, and tooling — whatever the product needs. If you thrive in environments where ownership is total and the work is never the same twice, this is for you. - Build and scale the core verification platform — API architecture, verification lifecycle, async processing, event delivery, and production reliability - Connect and operate external identity providers — building adapters, normalization layers, health monitoring, and the tooling that makes adding the next provider faster than the last - Build the infrastructure that takes integrated capabilities to proven in production — developer tooling, E2E test infrastructure, reference environments, and go-live systems - Own quality end to end — you write the tests, you monitor production, you fix what breaks - Investigate failures independently, identify root causes, and fix the system rather than the symptom - Work directly with Product, partners, and customers when solving a problem requires it — you're not behind a ticket queue 🧠 WHO YOU ARE - 2–4 years of software engineering experience — what matters is what you've personally owned and operated - Strong backend fundamentals — comfortable with APIs, distributed systems, async processing, and production reliability; our stack is TypeScript / JavaScript - Full stack in practice — you go where the problem is, whether that's backend, infrastructure, tooling, or frontend when needed - You own quality: testing, observability, and operational readiness are part of how you work, not someone else's job - High ownership, low ego — you drive ambiguous problems to resolution without waiting to be told exactly what to do - Thrives in a fast-moving environment where the scope is broad and the mission evolves - Based in Seoul; comfortable working in a global, multicultural, English-first environment ⚡️ FAST FACTS - 💰 $13.5M+ raised from top global investors - 📦 2.6M+ downloads of our sd-jwt-js library - 🌍 10+ nationalities across 3 hubs - 🔬 82 eID research projects completed - 🌐 3 projects accepted into the OpenWallet Foundation 🎁 BENEFITS & CULTURE - Unlimited PTO - Remote-friendly work model - Real ownership from Day 1 - High-impact, global product - Multicultural, respectful team 🧭 INTERVIEW PROCESS 1. Recruiter Intro Call (30 min) – Get to know Hopae 2. Functional or Technical Interview (45 min) – Dive into your skills 3. Culture Fit Conversation (45 min) – Collaboration & alignment 4. Offer 🎉 Note: The process may vary slightly depending on the role.

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview The Catalog team plays a pivotal role in delivering a seamless eCommerce experience, as it directly shapes how customers discover and purchase products online. This role combines senior-level business analysis with a strong foundation in statistical methodology and data analytical expertise. The position focuses on turning vague business questions into measurable analytical problems, conducting hypothesis-driven deep dives, and delivering actionable insights to support business decision-making. The ideal candidate is comfortable performing advanced analytics (such as EDA, cohort analysis, and experimental design) while having practical familiarity with data systems and ETL pipelines to support their analytical workflows. What You Will Do Advanced Analytics & Problem Solving -Turn vague business questions into structured, measurable analytical problems using hypothesis-driven analysis, root cause analysis, and systems thinking. -Conduct exploratory data analysis (EDA), time series analysis, segmentation/clustering, and cohort analysis to uncover business opportunities and solve complex catalog challenges. -Design and execute experiments, applying statistical inference, hypothesis testing, and sampling methodologies to validate business impacts. -Utilize Python/R and advanced analytics techniques (including feature engineering) to extract actionable insights from large-scale data. Data Engineering & Infrastructure Support -Design, build, and maintain scalable ETL/ELT pipelines, data lake architecture, and API integration using Python and modern data warehouses (Snowflake/BigQuery). -Implement data quality checks, maintain core data tables/lineage, and optimize SQL queries to ensure backend reliability, performance, and self-serve analytics enablement. Business Partnership & Solution Design -Collaborate closely with catalog and cross-functional business teams to translate requirements into data models, analytical frameworks, and dashboards. -Partner with external teams on special projects to investigate, diagnose, and mitigate business challenges through data. Continuous Improvement -Stay current with evolving data technologies, tools, and industry best practices. -Proactively identify opportunities to enhance data infrastructure and analytical capabilities. Basic Qualifications Strong business analysis and problem-solving skills with the ability to turn vague business questions into measurable analytical problems using hypothesis-driven analysis and systems thinking. Experience in advanced data analysis techniques using Python or R (EDA, feature engineering, time series analysis, cohort analysis, and segmentation/clustering). Solid background in statistical methods, including experimental design, hypothesis testing, statistical inference, and sampling methodologies. Advanced SQL skills with experience optimizing queries in modern data warehouses (e.g., Snowflake, BigQuery). Proven experience or familiar understanding in data engineering (ETL/ELT pipelines, data modeling, API integration, and pipeline optimization). Experience with data quality frameworks, monitoring tools, and ability to communicate technical/statistical concepts clearly to non-technical stakeholders. Recruitment Process and Others Recruitment Process · Application Review - Job Fit Interview - Focus Interview - Offer · The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. · Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice · Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ Document Return Policy 1. This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. 2. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. 3. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. 4. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. 5. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. About the Job FuriosaAI is seeking a Software Engineer to join our MLSys team. We apply deep expertise in model architectures and algorithms to build efficient, production-ready implementations of frontier LLMs tailored to our Tensor Contraction Processor (TCP) architecture. Our work makes these models available through FuriosaAI's software stack, enabling developers to deploy them efficiently on our NPUs with Furiosa-LLM (FLM). You will develop correct, efficient model kernels in Tensor Contraction Language (TCL), FuriosaAI's Python-based DSL for tensor computations, and work closely with the Inference Engine and Compiler teams on kernel implementation strategies and FLM integration. Key Responsibilities Analyze model architectures, algorithms, and reference implementations to identify new model features and document their implementation requirements and trade-offs. Work with the Inference Engine and Compiler teams to agree on model implementation and integration strategies. Design, implement, and optimize model-specific TCL kernels, including attention and mixture-of-experts computations, for high performance and efficient use of NPU resources. Integrate new models and TCL kernels into Furiosa-LLM to enable correct, efficient inference. Improve the process for adding new models by building reusable analysis and integration tools, automating validation and benchmarking, and documenting repeatable workflows. Validate kernel and model correctness on NPUs against reference implementations, investigate numerical differences, and build regression tests for supported configurations. Evaluate techniques from frameworks such as vLLM and SGLang, adapt and apply relevant approaches to TCL kernels and Furiosa-LLM integration, and document validated findings. Continuously study state-of-the-art models to deepen expertise in model architectures and algorithms. Share insights across the company and provide technical guidance to teams on model capabilities, architectural trade-offs, and inference requirements. Minimum Qualifications Deep understanding of transformer-based LLMs, including attention variants, mixture-of-experts architectures, and KV-cache behavior. Strong Python programming skills and hands-on experience reading, modifying, and debugging model implementations in PyTorch or a comparable framework. Hands-on experience implementing, debugging, and optimizing tensor operations or accelerator kernels, with an understanding of compute, memory, and numerical correctness. Understanding of LLM inference performance, including prefill/decode, batching, and latency–throughput trade-offs, with experience in quantitative performance evaluation. Ability to read and reason about Rust or C++ code when working on inference systems. Clear technical communication and cross-team collaboration skills, including the ability to turn analysis into actionable engineering decisions. Preferred Qualifications Experience bringing up or optimizing models on GPUs, NPUs, TPUs, or other AI accelerators. Familiarity with the internals of vLLM, SGLang, TensorRT-LLM, or similar inference frameworks, including scheduling, caching, or model parallelism. Familiarity with ML compilers and optimizations such as fusion, tiling, and scheduling. Experience developing and optimizing accelerator kernels using CUDA, Triton, or a tensor DSL. Experience developing software in Rust, building model validation or benchmarking tools, or contributing to open-source model and inference projects. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. About the Role Software Engineer (Inference Engine) is responsible for developing and optimizing a high-performance inference engine for Large Language Models (LLMs) and multimodal LLMs running on FuriosaAI NPUs. In this role, you will proactively research and apply the state-of-the-art inference optimization techniques to our inference engine. You will work in close collaboration with the compiler and hardware teams to enhance the engine's performance to its full potential. Key Responsibilities Design and implement FuriosaAI’s next-generation inference engine for large and multimodal language models—comparable in capability to frameworks such as vLLM and SGLang—optimized for throughput, latency, and memory efficiency. Design and implement advanced inference optimizations—such as speculative decoding, KV-cache management, tensor/model parallelism, memory-efficient execution, and scheduling—in our production inference engine. Design and develop capabilities for distributed and scalable inference, including prefill–decode (PD) and encode–prefill–decode (EPD) disaggregation, disaggregated speculative decoding, and hierarchical and external KV-cache storage such as HiCache and Mooncake. Collaborate closely with the Compiler team to co-design and optimize execution for FuriosaAI NPUs, improving system-level throughput, latency, and memory utilization. Proactively research, evaluate, and integrate state-of-the-art inference optimization techniques and key features of LLM serving frameworks into our production inference engine. Minimum Qualifications BS degree in Computer Science, Engineering, or a related field, with at least 3 years of relevant industry experience, or equivalent practical experience Proficiency in Rust or C++ programming skill Knowledge and passion of deep learning, LLM, and/or generative AI models Excellent problem-solving and data analysis skills. Strong communication and collaboration skills. Preferred Qualifications Experience in building inference serving systems for large models, encompassing batching, scheduling, caching, and load balancing. A deep understanding of performance optimization systems. Proficiency in C++/CUDA or Triton kernel development Contributions to open-source inference frameworks such as vLLM, SGLang, or TensorRT-LLM. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

ABOUT THE TEAM & MISSION 42dot의 Senior Computer Vision Engineer는 자율주행을 위한 통합 비전 모델과 학습 기술을 연구·개발합니다. 대규모 주행 데이터에서 3D 객체 검출, 도로 구조 인식, occupancy 등 3D scene understanding 과제를 함께 학습하고, 여러 GPU와 노드에 걸친 분산 학습의 효율과 안정성을 높입니다. 또한 실제 주행과 평가에서 발견되는 성능 저하의 원인을 분석하고, representation learning과 self-supervised learning을 통해 다양한 주행 환경에 일반화할 수 있는 시각 표현을 개발합니다. As a Senior Computer Vision Engineer at 42dot, you will research and develop unified vision models and learning methods for autonomous driving. You will train models across 3D scene understanding tasks, including 3D object detection, road structure understanding, and occupancy prediction, using large-scale driving data, while improving the efficiency and stability of distributed training across multiple GPUs and nodes. You will also investigate performance regressions observed in real-world driving and evaluation and develop visual representations that generalize across diverse driving environments through representation learning and self-supervised learning. RESPONSIBILITIES 1. MULTI-TASK LEARNING & DISTRIBUTED TRAINING OPTIMIZATION - Multi-view geometry와 3D scene representation에 대한 이해를 바탕으로, 3D 객체 검출·도로 구조 인식·occupancy 등 다양한 자율주행 인식 과제를 통합하는 multi-task learning 모델과 학습 전략 연구·개발 - Task 간 상호작용을 분석하고, 데이터 구성·sampling·loss balancing·학습 스케줄을 개선하여 개별 task 성능과 통합 모델 성능 향상 - 대규모 multi-GPU·multi-node 학습의 연산, 메모리, 통신 및 데이터 파이프라인 병목 분석·최적화 - Research and develop multi-task learning models and training strategies that integrate autonomous driving perception tasks, including 3D object detection, road structure understanding, and occupancy prediction, grounded in multi-view geometry and 3D scene representation. - Analyze interactions between tasks and improve data composition, sampling, loss balancing, and training schedules to enhance both individual task performance and overall model performance. - Identify and optimize computation, memory, communication, and data pipeline bottlenecks in large-scale multi-GPU and multi-node training. 2. REGRESSION ANALYSIS & MODEL IMPROVEMENT - 모델 변경과 실제 주행 평가에서 발견되는 성능 저하 및 실패 사례를 재현하고, 정량·정성 분석을 통해 원인 규명 - 데이터·GT 품질, 전처리, 모델 구조, 학습 조건 및 배포 과정의 영향을 구분하는 가설 수립과 ablation 실험 수행 - Reproduce performance regressions and failure cases identified through model changes and real-world driving evaluation, and determine their causes through quantitative and qualitative analysis. - Formulate hypotheses and conduct ablation studies to distinguish the effects of data and ground-truth quality, preprocessing, model architecture, training conditions, and deployment. 3. PRE-TRAINING & REPRESENTATION LEARNING - 대규모 비라벨 주행 데이터를 활용한 representation learning 및 self-supervised learning 기법 연구·개발 - Self-supervision, knowledge distillation, auxiliary supervision을 결합한 multi-view·temporal 정보와 기하학적 관계를 활용하는 pre-training recipe 설계·검증 - Representation collapse와 학습 불안정성을 분석하고, 학습된 표현의 품질 및 downstream task로의 전이 효과 평가 - Research and develop representation learning and self-supervised learning methods using large-scale unlabeled driving data. - Design and validate pre-training recipes combining self-supervision, knowledge distillation, and auxiliary supervision. - Investigate representation collapse and training instability, and evaluate representation quality and transfer to downstream tasks. QUALIFICATIONS - 컴퓨터비전 및 딥러닝에 대한 깊은 이해와 8년 이상의 모델 연구·개발 경험 - 3D geometry, 카메라 모델 및 좌표 변환, multi-view geometry에 대한 이해와 이를 활용한 3D vision 모델 개발 경험 - Multi-GPU 분산 학습 경험과 학습 성능·메모리·수치적 안정성 문제를 분석하고 개선한 경험 - Multi-task learning, representation learning, self-supervised learning 중 하나 이상에 대한 심도 있는 연구 또는 개발 경험 - A deep understanding of computer vision and deep learning, with at least 8 years of experience researching and developing models. - An understanding of 3D geometry, camera models, coordinate transformations, and multi-view geometry, with experience applying these concepts to 3D vision model development. - Experience with multi-GPU distributed training and diagnosing and improving training performance, memory usage, and numerical stability. - In-depth research or development experience in at least one of multi-task learning, representation learning, or self-supervised learning. PREFERRED QUALIFICATIONS - 컴퓨터비전, 로보틱스 또는 기계학습 관련 전공의 박사학위 보유 - 컴퓨터비전, 로보틱스 또는 기계학습 분야의 Top-tier 학회에서 연구를 발표한 경력 - 대규모 multi-node 학습의 scaling 효율과 GPU 자원 활용도를 개선한 경험 - Loss balancing, task interference, negative transfer 등 multi-task learning의 주요 문제를 해결한 경험 - Multi-camera·temporal 정보를 활용한 BEV 또는 PV 기반 3D scene representation 개발 경험 - A PhD in a field related to computer vision, robotics, or machine learning. - A record of presenting research at top-tier conferences in computer vision, robotics, or machine learning. - Experience improving scaling efficiency and GPU resource utilization in large-scale multi-node training. - Experience addressing loss balancing, task interference, negative transfer, or other key challenges in multi-task learning. - Experience developing BEV- or PV-based 3D scene representations using multi-camera and temporal information. INTERVIEW PROCESS 1. 서류 전형 2. 1차 면접 (화상, 1시간 내외) 3. 2차 면접 (대면 혹은 화상, 3시간 내외) 4. 처우 협의·입사 1. Application Screening 2. First Interview (Virtual, approximately 1 hour) 3. Second Interview (In-person or Virtual, approximately 3 hours) 4. Offer Discussion / Onboarding ADDITIONAL INFORMATION - 전형 절차는 일정 및 진행 상황에 따라 일부 변경될 수 있으며, 각 전형 결과는 등록하신 이메일로 개별 안내드립니다. - 지원서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다. - 지원서 접수 중 오류가 발생하거나 기타 문의 사항이 있을 경우, recruit@42dot.ai로 문의해 주시기 바랍니다. - 국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다. - 장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다. - 42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다. - 지원서 내용 중 허위 사실이 발견될 경우, 입사가 취소될 수 있습니다. - 인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다. - 3개월의 수습기간이 적용될 수 있습니다. - The recruitment process may change depending on schedule and progress; the result of each stage will be sent individually to your registered email. Please do not include legally prohibited information in your application (e.g., ID number, family relations, marital status, salary, photo, physical details, hometown). - For application errors or inquiries, contact recruit@42dot.ai. - Veterans and applicants eligible for employment protection will receive preferential consideration in accordance with applicable laws and regulations. - In compliance with the Act on Employment Promotion and Vocational Rehabilitation for Persons with Disabilities, registered individuals with disabilities will receive preferential consideration. - 42dot does not accept unsolicited resumes from search firms. We will not pay any fees for resumes submitted without prior agreement. - False information in your application may result in offer cancellation. A reference check may be conducted after the interview process, with your consent. - A 3-month probationary period may apply.

ABOUT THE TEAM & MISSION At 42dot, our AD ML Platform Engineers build the core data platform and ML training / eval platform for the cutting edge algorithms in autonomous driving. We develop the distributed system of a scalable data platform for large-scale dataset (millions of scenes), as well as high-performance data serving SDKs for ML model training / evaluation. The platforms we deliver could highly improve the efficiency of ML model development lifecycle, including training, evaluation, deployment, as well as monitoring in the cloud environment. RESPONSIBILITIES - Set technical strategy and oversee development of high scale, reliable data platform to manage, visualize and serve large-scale datasets for ML model training and validation. - Build up the data lakehouse for autonomous driving scene datasets, including the sensor data, calibration data, as well as annotation data - Drive the Autonomous Driving Data SDK development, including scene data search, datasets preparation, dataset loading, etc. - Dig into performance bottlenecks all along the data processing pipelines, from data processing latency, data search latency to Test Procedure (TP) coverage. - Bootstrap and maintain infrastructure for Data Platform components—Data Processing Pipeline, Database, Data Lakehouse and Data Serving. - Collaborate with cross-functional teams, including ML algorithm, ML application, and Cloud Infra to align ML Platforms with overall Autonomous Driving System Architecture. QUALIFICATIONS - Bachelor's degree or higher in Computer Science, Engineering, Robotics, or a similar technical field. - Minimum of 7 years of experience in Data Engineering or ML Platform roles - Expert-level proficiency in Python and solid experience in Python SDK development - Solid working experience in Databases (e.g., MongoDB, PostgreSQL, etc) - Strong understanding of modern AI frameworks (e.g., PyTorch, TensorFlow etc.), especially the principle of distributed data loader for model training - Hands-on experience with data pipeline job orchestration with Databricks Workflows or Apache Airflow, as well as integrating data pipelines with machine learning models - Extensive experience with data technologies and architectures such as Data Warehouse (e.g., Hive) or Lakehouse (e.g., Delta Lake) - Experience with Apache Spark or other big data computing engines - Excellent leadership and communication skills, with a demonstrated ability to lead technical projects PREFERRED QUALIFICATIONS - Experience with autonomous vehicle sensor data (e.g., LiDAR, camera, radar) - Experience with ML model training lifecycle (e.g., data preparation, model training / validation / deployment, etc) - Understanding data governance principles, data privacy regulations, and experience implementing security measures to protect data - Understanding of Large Models, like VLM INTERVIEW PROCESS 1. Application Screening 2. Coding Test 3. First Interview (Virtual, approximately 1 hour) 4. Second Interview (In-person or Virtual, approximately 3 hours) 5. Offer Discussion / Onboarding ADDITIONAL INFORMATION - The recruitment process may change depending on schedule and progress; the result of each stage will be sent individually to your registered email. Please do not include legally prohibited information in your application (e.g., ID number, family relations, marital status, salary, photo, physical details, hometown). - For application errors or inquiries, contact recruit@42dot.ai. - Veterans and applicants eligible for employment protection will receive preferential consideration in accordance with applicable laws and regulations. - In compliance with the Act on Employment Promotion and Vocational Rehabilitation for Persons with Disabilities, registered individuals with disabilities will receive preferential consideration. - 42dot does not accept unsolicited resumes from search firms. We will not pay any fees for resumes submitted without prior agreement. - False information in your application may result in offer cancellation. A reference check may be conducted after the interview process, with your consent. - A 3-month probationary period may apply.

WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for senior software engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. WHAT YOU’LL DO Customer-Facing Technical Impact - Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic problems with clear success criteria and evaluation methodologies. - Provide technical leadership across the full development and evaluation lifecycle, including post-deployment iteration, for agentic workflows. - Travel up to 20–40% to work on-site with customers and partners Agent Design, Build and Production launches - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability and performance. - Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions. - Define and apply evaluation and quality standards to measure success, failures, and regressions; Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails. - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution Team Mentorship & Organizational Impact - Mentor engineers across distributed teams. - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization. - Contribute to shared frameworks and patterns that enable consistent delivery across customers. REQUIRED SKILLS & EXPERIENCE Technical Foundations - Demonstrated ability to build, ship, and operate production-grade software systems. - Substantial hands-on experience designing, building, evaluating, and fine-tuning LLM-based agents in real-world applications. - Deep familiarity with modern LLM ecosystems, including models (e.g., GPT, Claude, Gemini), vector databases, RAG architectures, agent/orchestration frameworks, prompt engineering, tool use, multi-step agent workflows (e.g., ReAct), and robust failure handling. - Strong proficiency in Python and/or JavaScript/TypeScript. Experience and Leadership - Experience working directly with customers or stakeholders to design and deliver LLM-powered agentic solutions aligned with real business needs. - Proven technical leadership at the team level, including guiding architecture, implementation, and delivery of complex AI systems. ADDITIONAL REQUIREMENTS - Strong written and verbal communication skills. - Fluency in English and Korean language. IT’S A BONUS IF YOU HAVE: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

We are looking for AI Data Specialists to support the improvement of AI-generated content in Korean. Job Type: Freelance Location: Work from home Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want. Start Date: Immediately Duration: Long-term project Rate: 10 USD per hour (rates vary per country. If you are based elsewhere, the rates will be different) Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models? What You’ll Do The role involves performing diverse data-related tasks, including: - Data collection, evaluation, and annotation. - Pairwise comparisons. - Counting tasks. - Object tagging and labeling across different content types (audio, video, images, or collected data) What we’re looking for: - Native-level fluency in Korean. - English Proficiency: Fluent or advanced proficiency in English (levels B2–C2) - AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Offer - Flexible schedule - Opportunity to earn extra income - Timely payments - The job is ideal for students, part-timers, or stay-at-home parents #LI-PR1505 Vendor Type When applying, please select the option that best describes your working status. Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual. RWS embraces DEI and promotes equal opportunity. We are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements, and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. About the Role The compiler plays a central role in FuriosaAI’s mission to build high-performance, energy-efficient AI systems. As modern deep learning models continue to evolve in structure and execution behavior, the compiler’s abstractions and optimization strategies must advance in parallel. Our goal is to build a production compiler that delivers high performance across a broad range of workloads. The middle-end tackles key optimization problems that determine how tensor programs execute on FuriosaAI hardware. These involve a large, tightly coupled space of decisions, including tiling, fusion, data layout, hardware mapping, and scheduling. We formulate these problems at the right level of abstraction for the TCP architecture and optimize them jointly. In this role, you will identify and take ownership of compiler problems in real models and production workloads. You will turn those insights into general compiler solutions. You will design IR abstractions, optimization passes, program analyses, or planning algorithms, then integrate and validate them in the compiler. Key Responsibilities IR, Semantics, and Lowering. Design and evolve intermediate representations, semantics, and lowering transformations that connect tensor programs to efficient hardware execution. Global Optimization and Execution Planning. Develop performance models, search and solver techniques, and optimization algorithms that produce efficient execution plans across the program. Scheduling and Resource Management. Optimize execution schedules and hardware resource allocation. Program Analysis and Verification. Build dependence and alias analyses, race detectors, and compiler checks that validate transformations and catch correctness issues early. Hardware/Software Co-design. Contribute compiler and workload insights to future hardware generations, and evaluate proposed architectures before implementation in silicon. Minimum Qualifications Bachelor's degree in Computer Science, Mathematics, or a related technical field. Foundational knowledge of compiler design and optimization passes. Ability to abstract complex hardware/software constraints into logical algorithms and solve problems through rigorous reasoning. Preferred Qualifications Master's or PhD in Programming Languages, Compilers, Program Analysis, or related fields. Research or industry experience with compiler infrastructures like LLVM or MLIR. Experience developing code generators, instruction schedulers, or high-performance kernels for specialized accelerators (NPU, GPU, etc). Experience applying search, constraint solving, or mathematical optimization (ILP, SMT, dynamic programming, heuristic search) to compilation, scheduling, or resource allocation problems. Experience building analytical or learned performance models for hardware. Experience applying program analysis techniques to optimize performance or ensure program correctness. Experience with functional programming languages, particularly in the design of large-scale software systems. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. Key Responsibilities PyTorch-Native Kernel Programming Model: Design the integration layer and runtime environments that enable custom kernels to execute as native extensions within the PyTorch ecosystem. Virtual ISA: Implement architectural abstractions that resolve performance bottlenecks through direct hardware control while maintaining tensor-level programmability. Kernel Developer Ecosystem: Build core programming tools, technical specifications, and reference implementations to enable seamless kernel development and community contributions. Minimum Qualifications Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience. Experience in systems programming such as Rust, C++, or Go with a deep understanding of computer architecture, including ISA, SIMD, and memory hierarchies. Experience in designing and building clean, robust, and well-defined programming interfaces. Preferred Qualifications Master’s or PhD degree in Computer Science or a related technical field, or equivalent practical experience. Experience in designing low-latency asynchronous execution models, kernel-level performance optimizations, or hardware-software co-design. Experience in programming language theory and compiler infrastructure, including the design of domain-specific languages or intermediate representations using frameworks such as LLVM or MLIR. Experience in engaging the developer community through open-source contributions, technical evangelism, or managing developer ecosystems. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. About the Job The compiler plays a central role in FuriosaAI's mission to build high-performance, energy-efficient AI systems. Modern deep learning models are evolving rapidly and becoming increasingly diverse, making compilation a challenging problem. Transforming these models into efficient executable programs requires careful reasoning about complex transformations while preserving program meaning and structure. In this role, you will own the performance of critical AI kernels integrated into Furiosa-LLM, FuriosaAI's software stack for large language model serving. You will analyze end-to-end serving workloads, identify performance-critical bottlenecks, and implement highly optimized kernels using TCL (Tensor Contraction Language), FuriosaAI's programming language for kernel optimization. Because real-world serving workloads are inherently dynamic, you will develop scheduling, specialization, and algorithmic techniques that map them efficiently onto compiler abstractions and execution environments optimized for static workloads. Responsibilities Analyze end-to-end LLM serving workloads and identify performance bottlenecks that can be addressed through kernel-level optimization. Design, implement, and optimize high-performance kernels in TCL for critical operations in Furiosa-LLM. Develop algorithmic techniques for efficiently supporting dynamic serving workloads. Integrate, benchmark, and validate optimized kernels across representative models, input shapes, and serving scenarios. Collaborate with compiler and serving teams to improve compiler capabilities and ensure optimized kernels work effectively within the production software stack. Minimum Qualifications BS in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field. Experience in developing low-level or performance-critical software. Experience in analyzing performance bottlenecks using profiling, benchmarking, and hardware performance characteristics. Understanding of parallel computation, memory hierarchies, and data movement on modern architectures. Preferred Qualifications MS or PhD in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field. Experience in optimizing high-performance kernels on AI accelerators (e.g., GPU, TPU) for AI products. Hands-on knowledge of kernel optimization techniques such as tiling, computation scheduling, operator fusion, memory layout transformation, vectorization, pipelining, and data movement optimization. Experience reasoning about trade-offs among parallelism, memory bandwidth, on-chip memory capacity, compute utilization, and synchronization overhead. Experience with accelerator programming or domain-specific kernel languages such as Triton, cuTile, or Pallas. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Key Responsibilities Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. Preferred qualifications 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Fluent in Korean and English Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview As a Senior Product Manager in FPE, you will own the end-to-end product strategy and execution for Coupang’s internal finance and accounting platforms. You will bridge complex financial domain logic with scalable distributed systems, working backwards from internal finance, accounting, tax, and audit stakeholders to build automated, highly reliable, and compliant platform products. What You Will Do Define Strategy & Roadmap: Build product vision, strategy, and multi-year roadmap for Coupang's core finance and accounting platform products, aligning technical architecture with business growth and regulatory requirements. End-to-End Product Lifecycle: Lead cross-functional execution from discovery and technical requirements gathering (PRDs) through design, build, deployment, and post-launch optimization alongside dedicated engineering, data science, and accounting operational teams. Accounting & Operations Partnership: Partner directly with Coupang’s Controllership, Accounting, Tax, Treasury, and Internal Audit teams to deeply understand their workflows, automate manual month-end processes, streamline continuous closing capabilities and automate accounting operations. Backlog & Execution Management: Author granular user stories, technical specifications, and clear acceptance criteria; maintain a well-prioritized backlog in an agile framework to ensure high-velocity, defect-free delivery. Data Integrity & Automation: Establish product metrics and key performance indicators (KPIs) focused on data accuracy, reconciliation speed, automated ledger entry rates, and system processing latency. Stakeholder Communication & Leadership: Present product updates, architecture decisions, and strategic trade-offs to senior finance and technology leadership, building alignment across business units. Coupang Leadership Principles: Embody a customer-first (and internal userfirst) mindset, obsessing over operational efficiency, operational rigor, and zerodefect financial reporting. Qualifications Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, Finance, Accounting, or a related technical/quantitative field. Experience: 8+ years of product management, program management, solutions architecture, or software development experience delivering large-scale, enterprise-grade software products. Domain & Analytical Skills: Proven ability to break down complex financial processes into scalable software requirements; highly data-driven with exceptional problem-solving abilities. Communication: Outstanding written and verbal communication skills, with a track record of clearly conveying complex technical concepts to non-technical finance partners and executive leadership. Execution Track Record: Proven ability to manage competing priorities, drive alignment in matrixed organizations, and consistently deliver complex platform initiatives under tight timelines. Customer Obsession: Strong commitment to working backwards from user pain points to deliver intuitive, high-impact internal platforms and tools. Preferred Education: Engineering undergraduate, computer science or equivalent advanced degree. Platform & API Architecture: Prior experience defining APIs, data pipelines, microservices, or Platform-as-a-Service (PaaS) capabilities for enterprise internal users. Financial Systems Expertise: Preferred if you have understanding of core accounting principles, general ledgers, sub-ledgers, revenue recognition, tax engine integrations, or enterprise ERP systems (e.g., SAP, Oracle Financials). E-Commerce & Scale: Preferred if Direct experience in e-commerce, fintech, high-frequency transactional platforms, or payment gateway architecture. Recruitment Process and Others Recruitment Process Application Review - Job Fit Interview - Focus Interview - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled . Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/ko/land/jobs/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email ( recruitingops@coupang.com ) . In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

ABOUT THE TEAM & MISSION 42dot의 Computer Vision Engineer는 자율주행을 위한 통합 비전 모델과 학습 기술을 연구·개발합니다. 대규모 주행 데이터에서 3D 객체 검출, 도로 구조 인식, occupancy 등 3D scene understanding 과제를 함께 학습하고, 여러 GPU와 노드에 걸친 분산 학습의 효율과 안정성을 높입니다. 또한 실제 주행과 평가에서 발견되는 성능 저하의 원인을 분석하고, representation learning과 self-supervised learning을 통해 다양한 주행 환경에 일반화할 수 있는 시각 표현을 개발합니다. As a Computer Vision Engineer at 42dot, you will research and develop unified vision models and learning methods for autonomous driving. You will train models across 3D scene understanding tasks, including 3D object detection, road structure understanding, and occupancy prediction, using large-scale driving data, while improving the efficiency and stability of distributed training across multiple GPUs and nodes. You will also investigate performance regressions observed in real-world driving and evaluation and develop visual representations that generalize across diverse driving environments through representation learning and self-supervised learning. RESPONSIBILITIES 1. MULTI-TASK LEARNING & DISTRIBUTED TRAINING OPTIMIZATION - Multi-view geometry와 3D scene representation에 대한 이해를 바탕으로, 3D 객체 검출·도로 구조 인식·occupancy 등 다양한 자율주행 인식 과제를 통합하는 multi-task learning 모델과 학습 전략 연구·개발 - Task 간 상호작용을 분석하고, 데이터 구성·sampling·loss balancing·학습 스케줄을 개선하여 개별 task 성능과 통합 모델 성능 향상 - 대규모 multi-GPU·multi-node 학습의 연산, 메모리, 통신 및 데이터 파이프라인 병목 분석·최적화 - Research and develop multi-task learning models and training strategies that integrate autonomous driving perception tasks, including 3D object detection, road structure understanding, and occupancy prediction, grounded in multi-view geometry and 3D scene representation. - Analyze interactions between tasks and improve data composition, sampling, loss balancing, and training schedules to enhance both individual task performance and overall model performance. - Identify and optimize computation, memory, communication, and data pipeline bottlenecks in large-scale multi-GPU and multi-node training. 2. REGRESSION ANALYSIS & MODEL IMPROVEMENT - 모델 변경과 실제 주행 평가에서 발견되는 성능 저하 및 실패 사례를 재현하고, 정량·정성 분석을 통해 원인 규명 - 데이터·GT 품질, 전처리, 모델 구조, 학습 조건 및 배포 과정의 영향을 구분하는 가설 수립과 ablation 실험 수행 - Reproduce performance regressions and failure cases identified through model changes and real-world driving evaluation, and determine their causes through quantitative and qualitative analysis. - Formulate hypotheses and conduct ablation studies to distinguish the effects of data and ground-truth quality, preprocessing, model architecture, training conditions, and deployment. 3. PRE-TRAINING & REPRESENTATION LEARNING - 대규모 비라벨 주행 데이터를 활용한 representation learning 및 self-supervised learning 기법 연구·개발 - Self-supervision, knowledge distillation, auxiliary supervision을 결합한 multi-view·temporal 정보와 기하학적 관계를 활용하는 pre-training recipe 설계·검증 - Representation collapse와 학습 불안정성을 분석하고, 학습된 표현의 품질 및 downstream task로의 전이 효과 평가 - Research and develop representation learning and self-supervised learning methods using large-scale unlabeled driving data. - Design and validate pre-training recipes combining self-supervision, knowledge distillation, and auxiliary supervision. - Investigate representation collapse and training instability, and evaluate representation quality and transfer to downstream tasks. QUALIFICATIONS - 컴퓨터비전 및 딥러닝에 대한 깊은 이해와 2년 이상의 모델 연구·개발 경험 - 3D geometry, 카메라 모델 및 좌표 변환, multi-view geometry에 대한 이해와 이를 활용한 3D vision 모델 개발 경험 - Multi-GPU 분산 학습 경험과 학습 성능·메모리·수치적 안정성 문제를 분석하고 개선한 경험 - Multi-task learning, representation learning, self-supervised learning 중 하나 이상에 대한 심도 있는 연구 또는 개발 경험 - A deep understanding of computer vision and deep learning, with at least 2 years of experience researching and developing models. - An understanding of 3D geometry, camera models, coordinate transformations, and multi-view geometry, with experience applying these concepts to 3D vision model development. - Experience with multi-GPU distributed training and diagnosing and improving training performance, memory usage, and numerical stability. - In-depth research or development experience in at least one of multi-task learning, representation learning, or self-supervised learning. PREFERRED QUALIFICATIONS - 컴퓨터비전, 로보틱스 또는 기계학습 분야의 Top-tier 학회에서 연구를 발표한 경력 - 대규모 multi-node 학습의 scaling 효율과 GPU 자원 활용도를 개선한 경험 - Loss balancing, task interference, negative transfer 등 multi-task learning의 주요 문제를 해결한 경험 - Multi-camera·temporal 정보를 활용한 BEV 또는 PV 기반 3D scene representation 개발 경험 - A record of presenting research at top-tier conferences in computer vision, robotics, or machine learning. - Experience improving scaling efficiency and GPU resource utilization in large-scale multi-node training. - Experience addressing loss balancing, task interference, negative transfer, or other key challenges in multi-task learning. - Experience developing BEV- or PV-based 3D scene representations using multi-camera and temporal information. INTERVIEW PROCESS 1. 서류 전형 2. 1차 면접 (화상, 1시간 내외) 3. 2차 면접 (대면 혹은 화상, 3시간 내외) 4. 처우 협의·입사 1. Application Screening 2. First Interview (Virtual, approximately 1 hour) 3. Second Interview (In-person or Virtual, approximately 3 hours) 4. Offer Discussion / Onboarding ADDITIONAL INFORMATION - 전형 절차는 일정 및 진행 상황에 따라 일부 변경될 수 있으며, 각 전형 결과는 등록하신 이메일로 개별 안내드립니다. - 지원서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다. - 지원서 접수 중 오류가 발생하거나 기타 문의 사항이 있을 경우, recruit@42dot.ai로 문의해 주시기 바랍니다. - 국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다. - 장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다. - 42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다. - 지원서 내용 중 허위 사실이 발견될 경우, 입사가 취소될 수 있습니다. - 인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다. - 3개월의 수습기간이 적용될 수 있습니다. - The recruitment process may change depending on schedule and progress; the result of each stage will be sent individually to your registered email. Please do not include legally prohibited information in your application (e.g., ID number, family relations, marital status, salary, photo, physical details, hometown). - For application errors or inquiries, contact recruit@42dot.ai. - Veterans and applicants eligible for employment protection will receive preferential consideration in accordance with applicable laws and regulations. - In compliance with the Act on Employment Promotion and Vocational Rehabilitation for Persons with Disabilities, registered individuals with disabilities will receive preferential consideration. - 42dot does not accept unsolicited resumes from search firms. We will not pay any fees for resumes submitted without prior agreement. - False information in your application may result in offer cancellation. A reference check may be conducted after the interview process, with your consent. - A 3-month probationary period may apply.

MongoDB Presales Solutions Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Seoul office for our hybrid working model. What you do at MongoDB In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation) Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends What you will learn MongoDB Product Suite Mastery Core Database Server: Master the fundamentals and advanced features of MongoDB's core database Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts Relational Migrator: Learn to migrate from relational databases seamlessly Market-Relevant Technologies Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes Modern Architecture Design Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space Sales Techniques and Soft Skills Effective Communication: Master presentations, demonstrations, and whiteboarding Client Interaction: Develop strategies for discovery and objection handling Industry Insights Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries As an ideal candidate, you will have Ideally 12+ years of related experience in a customer facing role, minimum 3 years of experience in presales with enterprise software preferred Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan The ability to travel up to 25% A Bachelor’s degree or equivalent work experience You may also have Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database programming and data models Experience in data engineering or AI/ML projects Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Requisition ID- 3273551304

ABOUT THE TEAM & MISSION AD Framework Software Engineer는 Autonomous Driving System을 위한 핵심 Middleware Framework를 설계하고 개발합니다. 실시간 통신, 실행 프레임워크, 데이터 관리 및 공통 라이브러리 등 자율주행 소프트웨어의 기반이 되는 핵심 시스템을 구축하며, 안전성과 신뢰성을 갖춘 Automotive Grade Software를 제공합니다. 또한 다양한 Application Team과 협업하여 자율주행 플랫폼의 성능과 확장성을 지속적으로 향상시키는 역할을 수행합니다. At 42dot, our AD Framework Software Engineers build the core middleware system behind autonomous driving. We develop real-time communication, execution frameworks, and foundational libraries such as transform and data utilities. From design to deployment, we deliver software systems that meet the high standards of automotive reliability and safety. RESPONSIBILITIES - Autonomous Driving System을 위한 Middleware Framework 설계, 개발 및 배포 - 실시간 통신 및 실행 프레임워크를 포함한 핵심 시스템 개발 - Linux 및 RTOS 기반 분산 시스템 소프트웨어 개발 및 최적화 - ISO 26262 등 Automotive Safety Standard를 고려한 Software 설계 및 구현 - Debugging, Testing 및 Validation을 위한 개발 도구 설계 및 개발 - Software Requirement 분석부터 설계, 구현, 검증, 배포까지 전 개발 과정 수행 - Design Review 및 Code Review를 통한 기술 검토 및 품질 향상 - Application Team 및 다양한 Cross-functional Team과 협업하여 Middleware Integration 지원 - 글로벌 개발 조직과 협업하여 프로젝트 수행 - Design, develop, and deploy middleware software solutions for autonomous driving systems - Develop core software components including real-time communication and execution frameworks - Develop and optimize distributed software running on Linux and RTOS platforms - Design and implement software compliant with automotive safety standards such as ISO 26262 - Build development tools for debugging, testing, and validation - Participate in the full software development lifecycle, including requirements analysis, design, implementation, testing, and deployment - Contribute to design reviews and code reviews to improve software quality - Collaborate with application developers and cross-functional teams for seamless middleware integration - Work effectively with global engineering teams across multiple locations QUALIFICATIONS - Computer Science, Engineering 또는 관련 분야 학사 이상 - ROS/ROS2 또는 Automotive·Robotics Middleware Framework 개발 경험 - Middleware 및 Software Framework 개발 경험 - C/C++ 기반 Software 개발 역량 및 Python, Bash, Lua 등 Script Language 활용 경험 - Linux 또는 RTOS 기반 Software 개발 경험 - Software Development Lifecycle 전반에 대한 이해 - Cross-functional Team과의 협업 및 원활한 커뮤니케이션 역량 - 제품 수준의 Software 개발 및 품질 향상에 대한 관심과 열정 - Bachelor's or Master's degree in Computer Science, Engineering, or a related field - Experience with ROS/ROS2 or equivalent middleware frameworks for automotive or robotics systems - Experience developing middleware and software frameworks - Strong programming skills in C/C++ and familiarity with scripting languages such as Python, Bash, or Lua - Experience developing software on Linux or RTOS platforms - Comprehensive understanding of the software development lifecycle - Excellent communication and collaboration skills in cross-functional environments - Passion for building production-quality software systems PREFERRED QUALIFICATIONS - 10년 이상의 Software 개발 경력 및 Automotive 또는 관련 산업 경험 - DDS, TCP/IP, SOME/IP, DoIP 등 Communication Protocol 개발 경험 - CI/CD 및 Software Automation Pipeline 구축 경험 - Yocto, CMake, Make 등 Linux Build System 활용 경험 - Rust Programming 경험 - 10+ years of experience developing production-grade software, including experience in automotive or related industries - Hands-on experience with communication protocols such as DDS, TCP/IP, SOME/IP, and DoIP - Experience building and maintaining CI/CD or automated software pipelines - Experience with Linux build systems such as Yocto, CMake, and Make - Experience programming in Rust INTERVIEW PROCESS 1. 서류 전형 2. 코딩 테스트 3. 1차 면접 (화상, 1시간 내외) 4. 2차 면접 (대면 혹은 화상, 3시간 내외) 5. 처우 협의·입사 1. Application Screening 2. Coding Test 3. First Interview (Virtual, approximately 1 hour) 4. Second Interview (In-person or Virtual, approximately 3 hours) 5. Offer Discussion / Onboarding ADDITIONAL INFORMATION - 전형 절차는 일정 및 진행 상황에 따라 일부 변경될 수 있으며, 각 전형 결과는 등록하신 이메일로 개별 안내드립니다. - 지원서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다. - 지원서 접수 중 오류가 발생하거나 기타 문의 사항이 있을 경우, recruit@42dot.ai로 문의해 주시기 바랍니다. - 국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다. - 장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다. - 42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다. - 지원서 내용 중 허위 사실이 발견될 경우, 입사가 취소될 수 있습니다. - 인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다. - 3개월의 수습기간이 적용될 수 있습니다. - The recruitment process may change depending on schedule and progress; the result of each stage will be sent individually to your registered email. Please do not include legally prohibited information in your application (e.g., ID number, family relations, marital status, salary, photo, physical details, hometown). - For application errors or inquiries, contact recruit@42dot.ai. - Veterans and applicants eligible for employment protection will receive preferential consideration in accordance with applicable laws and regulations. - In compliance with the Act on Employment Promotion and Vocational Rehabilitation for Persons with Disabilities, registered individuals with disabilities will receive preferential consideration. - 42dot does not accept unsolicited resumes from search firms. We will not pay any fees for resumes submitted without prior agreement. - False information in your application may result in offer cancellation. A reference check may be conducted after the interview process, with your consent. - A 3-month probationary period may apply.

HELLO! I’m Allie, Head of Support at Ashby. I’m excited to share that we’re hiring a Support Engineer in APAC 🎉 We’re expanding our global Support team to provide 24/7 coverage across time zones. You’ll join a global team while establishing the technical Support Engineering presence in APAC, with the ownership and visibility that come from being one of the first Support Engineers in the region. We staff across regions rather than relying on on-call rotations; we’ll discuss the specific schedule for this opening during the process. NOT SURE WHICH SUPPORT ROLE IS RIGHT FOR YOU? We’re hiring for both Product Support Specialist and Product Support Engineer roles. - Support Specialist owns cases and customer communication end-to-end. Troubleshoots complex issues by navigating internal tooling — audit logs, user experience testing, and API testing — to help customers reach successful outcomes. - Support Engineering serves as the escalation point between Support Specialists and Product Engineering. Owns integrations, supports data mapping and data migrations for customers, and resolves escalated tickets that don't require product code changes. Please choose the role that best reflects your experience and interests rather than applying to both. If another Support role seems like a closer match, we’ll consider that in our review. ABOUT THE ROLE Support Engineering is the technical layer between frontline Support and Engineering. You’ll take on complex issues involving integrations, APIs, permissions, data, reporting, migrations, and workflows—using application behavior, logs, databases, and customer context to determine whether an issue can be resolved through Support or represents a product defect. You’ll investigate issues end to end using tools such as Plain, GitHub, Datadog, databases, and the codebase. You won’t write the fix; you’ll give Engineering a well-validated escalation with reproduction steps, relevant evidence, customer impact, and a root-cause hypothesis when possible. You’ll also identify recurring issues, improve documentation and enablement, and partner with Product and Engineering on improvements. As one of the first Support Engineers in APAC, you’ll help define how the global team collaborates across time zones, build practical handoffs with EMEA and AMER, and bring APAC customer context into how we scale Support Engineering. WHAT YOU’LL OWN: - Own complex technical issues from intake through resolution or escalation, investigating APIs, integrations, logs, data, configuration, and workflows to determine whether Support can resolve them or Engineering should be involved. - Set a high bar for complex technical investigations and ensure Engineering receives clear, actionable, well-validated product issues. - Build trusted working relationships with frontline Support, Engineering, Product, Customer Success, and customers. - Identify recurring problems and turn them into documentation, enablement, tooling, process improvements, or product feedback. - Partner with Product and Engineering on recurring product improvements by synthesizing customer patterns, validating defects, and sharing the technical context needed to choose between a product change, documentation, tooling, or process improvement. - Build the APAC coverage and handoff model with teammates in EMEA and AMER, while bringing regional customer patterns to the global Support Engineering team. - Track and improve the outcomes that matter: resolution speed, escalation quality, fewer avoidable Engineering escalations, frontline self-sufficiency, reduced customer effort, and customer confidence. YOU SHOULD APPLY IF: - You’ve worked in a hands-on, customer-centric technical role where you independently investigate ambiguous issues involving APIs, integrations, logs, data, and application behavior. - You’re comfortable moving between customer conversations, APIs, logs, databases, product behavior, and code-level context to find root causes. - You can distinguish a configuration, data, documentation, or enablement issue from a true product defect—and explain your reasoning clearly. - You write precise investigations that others can quickly understand and act on, and communicate thoughtfully with technical and non-technical audiences across time zones. - You naturally look beyond the immediate ticket and improve the systems around it through documentation, enablement, tooling, or process design. - You want to be an early technical owner for APAC and are energized by building structure across a broad set of time zones within a global team. YOU SHOULD NOT APPLY IF: - You’re looking primarily for a high-volume support role centered on predefined troubleshooting steps, rather than open-ended technical investigation and ownership. - Most of your experience is in internal IT, help desk, endpoint, hardware, network, infrastructure, cloud operations, systems administration, infrastructure maintenance, or service deployment—and you haven’t worked extensively with customer-centric SaaS applications, APIs, logs, or data-backed troubleshooting. - You prefer to pass difficult issues to another team rather than reproduce, investigate, and explain them yourself. - You’re looking for a role focused mainly on writing production code; this role diagnoses and escalates bugs but does not own code changes. - You prefer clear-cut problems and predefined answers over working through ambiguity with careful documentation, focused questions, and evidence-based decisions. - You want a narrowly defined role without regional operating ownership or projects that improve how the broader Support team works. ABOUT ASHBY Ashby builds a suite of products that helps talent leaders, recruiters, and hiring managers run their hiring process significantly better. We raised a $50M Series D in July 2025 and support nearly 5,000 customers, including Shopify, Snowflake, OpenAI, Deliveroo, and Confluent. We’re growing much faster than 100% year over year, with a team of roughly 300 people across 22+ countries. Learn more at ashbyhq.com https://www.ashbyhq.com/. ABOUT GO TO MARKET We view our Support team as an extension of the product itself, one that ensures an optimal customer experience for customers ranging across all market segments. Here are a few points that should give you an idea of what it is like to work with us: - We spend a lot of time building best-in-class products since we believe a highly differentiated product is easier to sell. - We also spend a lot of time building a best-in-class customer experience. We aim to offer deep expertise whenever we interact with prospects and customers. - We strongly believe that small teams with very talented people and the right work environment deliver much better performance than teams with large headcount. We value a strong sense of ownership, principled thinking over experience, and thoughtful communication (we put a lot of effort into using the right communication channels) - we’ll get into these and other values during the hiring process. You can take a look at our Leadership Principles https://www.ashbyhq.com/blog/culture/ashbys-leadership-principles to get a sense of what we value in People Leaders at Ashby. INTERVIEW PROCESS Our interview process is thorough and designed to give you enough information to assess whether Ashby is the right fit for you, while helping us evaluate technical reasoning, communication precision, and ownership. - Intro call with Recruiting — 30 min - Take-home assessment — 5 days to complete - Hiring Manager interview — 45–60 min - Virtual onsite — 120 min - Meet the team — 30 min - Technical & integration skills — 45 min - CS and Support leadership — 30 min - Closing questions — 15 min ONBOARDING Your onboarding will combine Ashby-wide product and company training with a Support Engineering-specific ramp plan. You’ll learn the product and support workflow, get familiar with the tools and systems used for technical investigations, and build relationships across Support, Product, and Engineering. With support from your manager and onboarding buddy, you’ll take on increasingly complex investigations as you build context, with regular check-ins throughout your first 90 days. BENEFITS Benefits vary by country and are shared in more detail during the process. International employees receive statutory benefits and, where available, employer-paid supplemental health coverage. - 10-year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby —do it when you feel financially comfortable. - Unlimited PTO. Expect “Vacation?” in our one-on-one agenda until you start taking it 😅 - A $1,200 annual learning and professional-development budget. - A one-time $2,000 home-office setup budget for furniture, monitors, peripherals, and ergonomic equipment, plus a company-provided laptop. - Opportunities to spend time with teammates through an annual company offsite, team offsites, local meetups, and virtual events. - Extended health benefits for you and your dependents (subject to availability with our Employer of Record) Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Ashby is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing vacancy within our organization. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position.

ABOUT THE JOB We believe using large language and multimodal models should be as simple as calling an API. To achieve this in production, we need to serve enterprises across clouds, with authentication, billing, multi-tenant isolation, and zero tolerance for downtime. We are looking for a Senior Backend Engineer who is excited by the full breadth of what it takes to run a platform in production. You will own the business logic layer that sits between our inference engine and every customer who relies on it. Your work spans API engineering, service development, and data architecture. If you like solving problems that only reveal themselves in the wild, this is your role: edge cases in multi-cloud orchestration, enterprise requirements that don’t fit neatly into a spec, performance bottlenecks that are hard to reproduce. You will move across domains, make decisions under uncertainty, and build systems that work cleanly, reliably, and at scale. We are looking for people with a track record of owning complex systems in production and solving unique problems. A great candidate is a strong collaborator who enjoys solving complex architectural challenges, cares deeply about developer workflows, and is eager to help define the future of AI adoption. KEY RESPONSIBILITIES - Own the architecture and evolution of core backend microservices powering our AI inference platform, from the API layer through business logic to the data layer. - Design and build production-grade APIs (REST, gRPC, GraphQL) that serve as the foundation for AI deployments, developer integrations, and enterprise workflows. - Build and scale enterprise-grade platform capabilities: authentication, RBAC, billing, organization management, and secure multi-tenant SaaS infrastructure. - Develop AI-specific platform features, including LLM deployment workflows and inference-specific service integrations. - Design and optimize data models and pipelines across OLTP (PostgreSQL) and OLAP (ClickHouse) systems. - Collaborate with infrastructure engineers on multi-cloud deployment and resource orchestration pipelines. - Set reliability and performance standards for the services you own, resolving production issues with urgency and rigor - Drive engineering quality through design reviews, automated testing, and CI/CD. QUALIFICATIONS - 5+ years of backend or systems engineering experience in production environments - Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent. - Expertise in Python and modern frameworks (e.g., FastAPI); should be able to write code others learn from. - Strong experience designing and operating distributed systems at scale. - Solid API design experience across REST, gRPC, and GraphQL. - Proficiency in data modeling and SQL, with hands-on experience in PostgreSQL and OLAP systems such as ClickHouse. - Working knowledge of LLM serving. - Experience building secure, multi-tenant SaaS architectures: authentication, RBAC, and compliance requirements. - Familiarity with cloud-native development and observability tooling (OpenTelemetry or equivalent). - Strong systems thinking and ability to reason about failure modes. PREFERRED EXPERIENCE - Hands-on experience with AI or model serving infrastructure. - Experience with Kubernetes for production container orchestration and scaling. - Background building developer-facing SDKs, CLIs, or internal engineering platforms. - Exposure to multi-cloud environments and cross-cloud resource management. - Experience leading incident response and postmortems for production systems. - Basic familiarity with modern frontend frameworks (e.g., React/Next.js http://next.js) for cross-functional collaboration. BENEFITS - Flexible working hours - Daily lunch and dinner provided; unlimited snacks and beverages - Supportive and highly collaborative work environment - Health check-up support and top-tier equipment/hardware support - A front-row seat to the generative AI infrastructure revolution - Competitive compensation, startup equity, health insurance, and other benefits. ABOUT FRIENDLIAI FriendliAI is building the world’s best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 600,000 open-source models. We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.

ABOUT THE JOB FriendliAI is hiring a Python Engineer to build developer tools for our users and internal engineers. The software developed by the engineer will be the primary way developers integrate with our inference and agent platform. Your work will remove friction for internal teams and external users. You’ll design ergonomic & stable APIs, reliable releases to PyPI, and drive top-tier developer experience across documentation, examples, and tooling. You’ll collaborate with frontend engineers on end-to-end workflows and partner with product & engineering teams. KEY RESPONSIBILITIES - Own the Python SDK lifecycle. You will design APIs and implement the client side in the SDK. - Build and maintain a cross-platform CLI with a modern interface, including helpful error messages and good UX. - Manage packaging and distribution pipelines. - Develop and maintain internal developer tools related to DevOps. - Create examples, templates, and guides that help developers effectively utilize our software bundles. QUALIFICATIONS - 3+ years of professional Python engineering building libraries, SDKs, or developer tools used in production. - Demonstrated SDK/CLI ownership. Familiarity with API ergonomics and versioning, deprecation policies, telemetry, and debugging customer issues. - Strong Python fundamentals, including asyncio, typing, packaging, and testing. - Web API fluency in REST and gRPC. - Experience working with Python monorepos. - Clear written communication skills and capable of turning complex features into clean APIs and concise docs. PREFERRED EXPERIENCE - Maintainer or significant OSS contributor in Python libraries (tooling, SDK, CLI, etc.). - Experience with Python AST and Meta-programming, Packaging - Performance work (profiling, streaming, backpressure) or multi-platform build experience. - Cross‑language exposure (TypeScript/Node, Go). - Containers & local dev tooling (Docker); familiarity with Kubernetes basics. - Experience with LLM/agent SDKs or inference workflows. BENEFITS - Flexible working hours - Daily lunch and dinner provided; unlimited snacks and beverages - Supportive and highly collaborative work environment - Health check-up support and top-tier equipment/hardware support - A front-row seat to the generative AI infrastructure revolution - Competitive compensation, startup equity, health insurance, and other benefits. ABOUT FRIENDLIAI FriendliAI is building the world’s best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 600,000 open-source models. We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.

ABOUT THE JOB FriendliAI is seeking a Customer Success Engineer to act as the technical liaison between our customers and the engineering team behind our large-scale AI inference platform. You’ll help developers and enterprises deploy, scale, and optimize generative and agentic AI workloads running on FriendliAI infrastructure. In this role, you will act as a trusted technical advisor to our users, ensuring smooth onboarding, ongoing support, and optimal product usage. You will collaborate across product, engineering, and support teams to represent the customer's voice and help shape a delightful developer experience. [Note] This is a 6-month contract position, and contract extension may be discussed based on performance during the employment period. KEY RESPONSIBILITIES - Guide new users through onboarding, setup, and best practices - Document technical learnings, common patterns, and solutions derived from real customer interactions - Transform lessons learned into precise, actionable knowledge for both internal teams and external users - Create and maintain documentation, tutorials, and sample projects - Provide technical support via Instant messages, Slack, email, and meetings, helping users troubleshoot and resolve issues quickly - Collaborate with engineering to debug production issues and prioritize fixes - Lead customer-facing technical sessions, demos, and Q&As QUALIFICATIONS - 2+ years in a developer-facing or technical support role (Customer Success, Solutions Engineering, etc.) - Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent - Strong technical background in backend systems or AI tooling - Excellent written and verbal communication skills (both Korean and English) - Proficient in Python and familiar with LLM ecosystems (e.g., Hugging Face, LangChain) - Experience working with APIs, CLI tools, and deployment workflows - Ability to explain complex technical concepts clearly and concisely PREFERRED EXPERIENCE - Strong technical writing skills with experience authoring user-facing or internal technical content - Experience writing developer documentation or educational content - Prior experience working with enterprise customers or managing technical escalations - Contributions to developer communities or open source - Familiarity with model serving platforms and inference workflows - Hands-on experience building with agentic or autonomous AI frameworks BENEFITS - Flexible working hours - Daily lunch and dinner provided; unlimited snacks and beverages - Supportive and highly collaborative work environment - Health check-up support and top-tier equipment/hardware support - A front-row seat to the generative AI infrastructure revolution - Competitive compensation, startup equity, health insurance, and other benefits. ABOUT FRIENDLIAI FriendliAI is building the world’s best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 600,000 open-source models. We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.

ABOUT THE JOB We’re seeking an Agent Engineer to design and build agentic features in our platform, including document understanding, advanced RAG, and customer support automation. In this role, you will develop not only the agent components themselves, but also the Friendli Agent API, which serves as the core developer interface for building and extending agent applications. You will also build agent applications as production-ready examples of how agents can solve real-world problems. These applications will be primarily written in Python and will serve as reference implementations for our customers and community. We are looking for a hands-on engineer who is passionate about building agent systems and making AI easy for developers to adopt. The ideal candidate is comfortable creating agent applications that showcase what is possible, is curious about and experienced with open-source models, and enjoys turning them into reliable, high-impact features. KEY RESPONSIBILITIES - Design, build, and maintain agent APIs and applications that deliver document understanding and other high-value features - Evaluate and integrate open-source models to power production-ready agent features where possible - Develop reference agent applications to showcase workflows and accelerate customer adoption - Collaborate with backend and infrastructure teams to integrate agents with deployment, orchestration, and monitoring systems - Ensure APIs are robust, developer-friendly, and enterprise-ready through strong design principles and documentation - Continuously improve the reliability, scalability, and performance of agent features in production QUALIFICATIONS - 3+ years of experience in software engineering, preferably in backend, ML systems, or API development - Bachelor’s or Master's degree in Computer Science, Computer Engineering, or equivalent - Strong programming skills in Python; experience with various Python frameworks - Solid understanding of LLM workflows, agent patterns, or tool invocation systems - Experience designing and delivering production APIs - Familiarity with open-source LLMs and multimodal models (HuggingFace, LangChain, LlamaIndex, etc.) - Strong foundations in cloud-native development PREFERRED EXPERIENCE - Experience with document understanding pipelines (e.g., OCR, RAG, summarization, structured extraction) - Familiarity with Kubernetes or container orchestration in production - Built or contributed to agent frameworks, SDKs, or CLIs - Have worked in a startup or fast-paced environments with ownership and ambiguity - Passion for developer experience and enabling AI adoption BENEFITS - Flexible working hours - Daily lunch and dinner provided; unlimited snacks and beverages - Supportive and highly collaborative work environment - Health check-up support and top-tier equipment/hardware support - A front-row seat to the generative AI infrastructure revolution - Competitive compensation, startup equity, health insurance, and other benefits. ABOUT FRIENDLIAI FriendliAI is building the world’s best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 600,000 open-source models. We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.

ABOUT THE JOB FriendliAI is looking for a Cloud Infrastructure Engineer to own the architecture and evolution of the cluster platform behind our GPU-accelerated AI inference cloud. As a Software Engineer, Cloud Infrastructure, you will design how our clusters are built and connected, extend Kubernetes where its defaults fall short, and own the network path that inference traffic depends on. Inference is an unforgiving workload for Kubernetes. Traffic is bursty and latency-sensitive, GPU capacity is scarce and inelastic, tenants must stay isolated, and multi-node serving depends on the network holding up under sustained load. This is a hands-on architecture role for an engineer who has already run large clusters in production and wants to push them further. KEY RESPONSIBILITIES Cluster Architecture - Own the architecture of our multi-cluster, multi-tenant Kubernetes fleet across both managed and self-managed clusters: cluster topology, control plane and etcd lifecycle, and zero-downtime upgrades. - Extend Kubernetes with custom controllers, operators, and CRDs so platform behavior is encoded in software rather than runbooks. - Design GPU scheduling and capacity strategy, including topology-aware placement, node pools, priority and preemption, and quota across tenants. - Build autoscaling that matches inference traffic: queue-driven pod scaling, node autoscaling, scale-to-zero, and cold-start reduction. Networking - Own the Kubernetes network data plane: CNI, IPAM, DNS, ingress, and L4/L7 load balancing. - Design cross-AZ, cross-region, and cross-cluster connectivity, and operate the service mesh for routing, mTLS, and traffic policy. - Debug production network issues (packet loss, conntrack exhaustion, MTU mismatches, DNS latency, load balancer behavior) and drive permanent fixes. Reliability & Collaboration - Define SLOs for platform-critical systems and lead post-incident hardening. - Deliver infrastructure as code with Terraform, Helm, and GitOps. - Partner with the inference engine, platform, SRE, and security teams to turn serving requirements into platform capabilities. QUALIFICATIONS - 5+ years designing, building, and operating large-scale Kubernetes infrastructure in production. - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent. - Proven experience operating large-scale, high-traffic network services in production. - Deep understanding of Kubernetes internals: API server, scheduler, controller loops, kubelet, and etcd. - Strong command of Kubernetes and cloud networking: CNI, kube-proxy/eBPF datapaths, DNS, load balancing, service mesh, and VPC routing. - Proficiency with AWS, Terraform, Helm, and Ansible. - Programming skills in Go or Python, with the ability to build infrastructure tooling and automation. - Strong debugging skills across distributed systems, containers, and the Linux networking stack. - Clear written and verbal communication, including the ability to document architectural decisions for other engineers. PREFERRED EXPERIENCE - Large-scale Kubernetes operations in a high-traffic domain such as gaming, e-commerce, or public cloud. - Cilium and eBPF, including kube-proxy replacement or upstream contributions. - Cluster provisioning and lifecycle management with Kubespray or similar Ansible-based tooling. - GPU orchestration: NVIDIA GPU Operator, device plugins, or Dynamic Resource Allocation (DRA). - High-performance networking for distributed workloads: RDMA/RoCE, InfiniBand, EFA, SR-IOV, or NCCL tuning. - Multi-cloud, hybrid-cloud, or bare-metal Kubernetes operations. - Contributions to Kubernetes, Cilium, Istio, or other CNCF projects. BENEFITS - Flexible working hours - Daily lunch and dinner provided; unlimited snacks and beverages - Supportive and highly collaborative work environment - Health check-up support and top-tier equipment/hardware support - A front-row seat to the generative AI infrastructure revolution - Competitive compensation, startup equity, health insurance, and other benefits. ABOUT FRIENDLIAI FriendliAI is the fastest inference cloud for agents, built to run frontier open-weight models in production at scale. It delivers up to 7x faster output token speed, up to 90% lower inference costs, and 99.99% uptime across the most demanding agent workloads — long-context inference, real-time streaming, and accurate tool calling. We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference stack, we are building the platform teams can actually rely on.

ABOUT FRIENDLIAI FriendliAI is the fastest inference cloud for agents, built to run frontier open-weight models at scale in production. It delivers up to 7x faster output token speed, up to 90% lower inference costs, and 99.99% uptime across the most demanding agent workloads — long-context inference, real-time streaming, and accurate tool calling. We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference stack, we are building the platform teams can actually rely on. ABOUT THE ROLE We're seeking a Full-Stack Software Engineer to design, build, and scale our web platform, which serves as the core interface for deploying multimodal models, observing workloads, and building agent workflows. You'll own how customers experience the platform end-to-end- signing up, authenticating, managing access across an organization, and understanding what they're being billed for - from the services and data models through to the interface. In this role, you'll work closely with product, infrastructure, and design teams to create high-performance, developer-friendly, and enterprise-ready tools. We are looking for a hands-on engineer who is eager to work across the surfaces of our application — authentication and access control, billing and usage, and the model deployment and inference features customers use every day. The ideal candidate has built backend systems where correctness matters, is comfortable carrying a feature all the way to the UI, cares deeply about developer workflows, and is excited to help define the future of AI adoption. KEY RESPONSIBILITIES - Design, build, and maintain web applications and tools for AI model deployment, monitoring, and performance optimization - Own authentication, organization management, and billing end-to-end. - Develop clean, scalable, and robust APIs powering AI agents, workflows, and user-facing systems - Collaborate with infrastructure engineers to integrate backend systems with deployment and orchestration pipelines - Drive code quality through automated testing, CI/CD, and code reviews - Contribute to architecture and design decisions that shape our platform's long-term direction - Identify and resolve technical debt and improve system reliability in production systems QUALIFICATIONS - 4+ years of industry experience in backend or full-stack engineering, with meaningful time spent on backend systems - Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent - Production experience with authentication and authorization — SSO/OAuth2/OIDC, RBAC, API keys, and multi-tenant isolation - Experience building billing or usage-metering systems: usage-based or subscription pricing, entitlements, quotas, or payment integration - Fluent in Python and TypeScript; proficient with React/Next.js - Strong backend experience with FastAPI or similar Python frameworks - Proficiency in designing data models, writing SQL, and working with PostgreSQL; familiarity with OLAP systems such as ClickHouse - Strong API design experience across gRPC/REST/GraphQL in production systems - Solid foundation in cloud-native development - Familiarity with OpenTelemetry tracing, metrics, and structured logging PREFERRED EXPERIENCE - Experience with payment processors (e.g., Stripe) and usage-based or subscription SaaS billing - Familiarity with enterprise identity requirements — SAML, SCIM provisioning, or providers like Auth0/WorkOS - Familiarity with LLM-based workflows, tool invocation, or agentic systems - Familiarity with Kubernetes for container orchestration, including deploying, scaling, and managing containerized applications in production environments - Have worked in a startup or fast-paced environment with ownership - Built developer-facing SDKs/CLIs - Passion for developer experience and enabling AI adoption BENEFITS - Flexible working hours - Daily lunch and dinner provided; unlimited snacks and beverages - Supportive and highly collaborative work environment - Health check-up support and top-tier equipment/hardware support - A front-row seat to the generative AI infrastructure revolution - Competitive compensation, startup equity, health insurance, and other benefits.

ABOUT THE JOB We are seeking a highly technical Inference Engine Engineer to optimize the performance and efficiency of our core inference engine. In this role, you will focus on designing, implementing, and optimizing GPU kernels and supporting infrastructure for next-generation generative and agentic AI workloads. Your work will directly power the most latency-critical and compute-intensive systems deployed by our customers. We are looking for an exceptional engineer with a strong foundation in GPU programming and compiler infrastructure. The ideal candidate enjoys pushing performance boundaries and has experience supporting production-scale machine learning applications. KEY RESPONSIBILITIES - Design and optimize custom GPU kernels for AI (e.g., transformer and diffusion) workloads - Contribute to the development of FriendliAI’s kernel compiler, memory planner, runtime, and other core components. - Collaborate with cloud and infrastructure engineers to ensure end-to-end inference performance - Analyze performance bottlenecks across the software and hardware stack, and implement targeted optimizations - Drive support for new model architectures and tensor compute patterns - Maintain production-grade performance infrastructure, including profiling, benchmarking, and validation tools QUALIFICATIONS - 5+ years of experience in production or high-impact research environments - Production-level expertise in Python and C++ - Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent - Experience developing machine learning frameworks or performance-critical runtime systems - Hands-on experience writing and optimizing GPU kernels - Hands-on experience profiling GPU kernels - Experience working with generative AI models such as transformer and diffusion models PREFERRED EXPERIENCE - Experience developing machine learning compilers or code generation systems - Familiarity with dynamic shape compilation, memory planning, and kernel fusion - Contributions to inference engines, compilers, or high-performance numerical libraries - Understanding of multi-GPU and distributed inference strategies BENEFITS - Flexible working hours - Daily lunch and dinner provided; unlimited snacks and beverages - Supportive and highly collaborative work environment - Health check-up support and top-tier equipment/hardware support - A front-row seat to the generative AI infrastructure revolution - Competitive compensation, startup equity, health insurance, and other benefits. ABOUT FRIENDLIAI FriendliAI is building the world’s best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 600,000 open-source models. We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.

About the job FriendliAI is looking for an engineer to architect and build the security foundations of a multi-tenant serverless compute platform running on Kubernetes with hardened container isolation. As a Software Engineer, Platform Security, you will own the security design for both control plane and data plane, implement guardrails as code, and partner closely with Platform/SRE/Infra teams to ship a secure-by-default developer experience. This is a hands-on builder and architect role. Key Responsibilities - Design and implement the security architecture for a Kubernetes-based, multi-tenant serverless platform. - Build guardrails as code using Terraform and Helm. - Establish network segmentation and service-mesh policy. - Develop secrets and key management patterns. - Implement runtime detections for containerized workloads. - Design and roll out IAM & workload identity management. - Threat model new features and changes to the overall platform. - Collaborate with engineering to debug production issues, lead post-incident hardening, and automate evidence for compliance controls. Qualifications - 5+ years securing cloud-native platforms with a focus on distributed systems and multi-tenancy. - Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent. - Strong hands-on experience with AWS (IAM, VPC/networking, logging/monitoring, …) and Kubernetes/container security. - Proficiency with Terraform and Helm. - Experience building or operating runtime detections for containers/functions. - Strong technical background in backend systems, cloud infrastructure, or AI tooling - Clear written and verbal communication; ability to translate pricing/business rules into robust systems. Preferred Experience - Knative or similar serverless-on-K8s frameworks. - Container hardening and sandboxing. - Policy-as-code and admission policy design at scale. - eBPF-based observability, detections, and signal tuning. - Multi-cloud exposure and cross-cloud identity approaches. - Hands-on contributions to SOC 2 / HIPAA control automation and audit evidence pipelines. BENEFITS - Flexible working hours - Daily lunch and dinner provided; unlimited snacks and beverages - Supportive and highly collaborative work environment - Health check-up support and top-tier equipment/hardware support - A front-row seat to the generative AI infrastructure revolution - Competitive compensation, startup equity, health insurance, and other benefits. ABOUT FRIENDLIAI FriendliAI is building the world’s best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 600,000 open-source models. We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.

ABOUT THE JOB FriendliAI is looking for a GPU Kernel Engineer to design, build, and optimize the low-level compute kernels that power our large-scale, GPU-accelerated AI inference platform. You will be delivering world-class inference speed across NVIDIA and AMD GPUs. With our recent $20M funding, we are scaling our team to meet market demand. This is a deeply technical, high-impact role where you will write GPU code, implement advanced optimizations. As part of our engine team, you will contribute directly to the company’s proprietary inference engine which supports over 600,000 models on Hugging Face. You will work with the inventors of continuous batching and collaborate with the platform team to deploy your work into production. KEY RESPONSIBILITIES - Design, implement, and optimize high-performance GPU kernels for AI inference (e.g., GEMM, attention, routing) - Develop and maintain GPU code in CUDA and C++, including low-level assembly when needed - Implement reduced-precision and quantized kernels (FP8/FP4) for low-latency or high-throughput inference - Benchmark and ensure cross-vendor performance parity between NVIDIA and AMD hardware - Contribute to internal GPU libraries and tune performance of performance-critical components - Accelerate multi-modal model pipelines - Investigate and integrate next-generation GPU features QUALIFICATIONS - 3+ years of experience in GPU programming, HPC, or performance-critical systems - Bachelor’s or Master’s degrees in Computer Science, Computer Engineering, Electrical Engineering, or a related field - Strong proficiency in CUDA for NVIDIA GPUs or ROCm/HIP for AMD GPUs - Deep understanding of GPU architecture: warps, threads, memory hierarchy, synchronization, and latency-throughput trade-offs - Proficiency in C++ - Experience with GPU profiling and performance tuning - Strong numerical background with understanding of precision trade-offs and quantization techniques PREFERRED EXPERIENCE - Experience optimizing transformer, multi-modal, or Mixture-of-Experts (MoE) architectures at the kernel level - Familiarity with the latest GPU libraries and frameworks (CUTLASS, Triton, …) - Inter-GPU communication programming experience - Open-source contributions related to GPU performance or ML acceleration - Research or conference presentations on GPU optimization, HPC, or numerical computing BENEFITS - Flexible working hours - Daily lunch and dinner provided; unlimited snacks and beverages - Supportive and highly collaborative work environment - Health check-up support and top-tier equipment/hardware support - A front-row seat to the generative AI infrastructure revolution - Competitive compensation, startup equity, health insurance, and other benefits. ABOUT FRIENDLIAI FriendliAI is building the world’s best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 600,000 open-source models. We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.

Protecting and building a future shaped by original ideas, innovations, and creativity. From counterfeits and pirated content to fraudulent sites and unauthorized sellers, MarqVision provides an end-to-end brand integrity platform across e-commerce, social media and emerging AI platforms. Our AI-powered managed service platform for brand control and intelligence enables rapid, scalable enforcement so that brands can move faster, protect revenue, and preserve brand equity across every digital touchpoint. In a time when IP infringements pose an increasingly serious challenge, we believe that democratizing legal expertise and access to the latest in generative AI technology is critical for continuing to support the inventors, developers, and artists of the world who work tirelessly to deliver safe, high-quality products. Founded by Harvard Law graduates in 2020, MarqVision recently raised Series B, bringing total funding to $89M, and is backed by Y Combinator, Peak XV (formerly Sequoia Capital India), HSG (formerly Sequoia Capital China), Salesforce Ventures, Altos Ventures, DST Global Partners, and Softbank. Recognized with an LVMH Innovation Award and the Inc 5000 Fastest Growing Companies award in 2025, MarqVision continues to push boundaries in brand control, ensuring that innovation, creativity, and trust remain safeguarded in a rapidly evolving digital world. How You'll Make an Impact at MarqVision At MarqVision, we’re redefining brand protection with cutting-edge AI and automation solutions. As a Senior Product Manager, Brand Protection, you’ll take the lead in building mission-critical tools that detect, analyze, and combat IP infringement across global online platforms. You’ll work closely with engineering, business, and go-to-market teams to develop scalable, AI-powered solutions that eliminate threats at scale. If you’re passionate about leveraging AI to solve real-world challenges and shaping the future of brand protection technology, we want to hear from you! What You’ll Achieve Develop and scale brand protection solutions that enable rapid and effective enforcement against counterfeits and infringements. Work closely with top-tier engineering and AI teams to define, develop, and maintain a feature roadmap and backlog aligned with strategic business objectives. Establish and drive OKRs (Objectives and Key Results) for brand protection products, consistently tracking and optimizing performance metrics. Proactively engage with business and operations teams to identify market challenges and translate complex brand protection requirements into practical product solutions. Partner with senior leadership to align brand protection product initiatives with overall company strategy, ensuring impactful and efficient product enhancements. Work cross-functionally with peer Product Managers, Sales, Customer Success, and Operations, to streamline implementation and manage interdependencies. Skills You Bring 5+ years of experience in technical product management, with a proven track record of developing and scaling successful B2B, B2C, or internal-facing products. Bilingual proficiency in English and Korean, with the ability to navigate global markets, collaborate across cross-functional teams, and engage international customers. Exceptional communication and collaboration skills, with the ability to convey complex ideas clearly and persuasively, both verbally and in writing. Action-oriented mindset, thriving in fast-paced, ambiguous environments while driving execution with a bias for action. Analytical and data-driven problem-solving skills, leveraging both qualitative and quantitative data to tackle complex and ambiguous challenges. Nice to Have Experience in global B2B SaaS product development, successfully launching and expanding B2B products in international markets. Background in AI-driven solutions, with hands-on experience in machine learning applications or AI-powered products. Proficiency in SQL (intermediate to advanced level) or a strong ability to rapidly upskill in data analysis and querying. Additional Reference MarqVision Company Blog Leadership Team Be Part of the MarqVision Team Collaborate with a global team spanning 10+ countries and make a worldwide impact. Enjoy flexible working hours (8–10 AM start) and a hybrid work model (2 remote days per week). Receive U.S. stock-based compensation upon joining. Stay healthy with company-sponsored regular health checkups. Improve your skills with in-office English conversation classes. Get lunch allowances when working in the office and dinner & taxi fare support for late workdays. Bond with your team through company-sponsored lunches and dinners. Enjoy a fully stocked office with snacks, beverages, coffee, and even beer! Interview Process Please submit all documents as a PDF file The interview process is as follows Application Review > Screening Interview > Hiring Manager Interview > Team Interview > Culture Fit Interview > Case Study > Final Interview The interview process is subject to change. This is a full-time position with a 6-month probationary (trial) period Please ensure that all submitted documents are accurate. Any false information may result in the withdrawal of your acceptance or offer of employment. Equal Opportunity At MarqVision, we believe real growth comes with attracting the brightest minds, motivating them to succeed in their position, and ensuring plenty of fun along the way. If you think this position is for you, apply now! MarqVision is an Equal Opportunity Employer and encourages applicants of all backgrounds to apply. We are committed to building a diverse and inclusive workforce that reflects the customers and communities we serve. By applying for this role, you acknowledge MarqVision’s Global Recruiting Privacy Policy. Your privacy is important to us. Please review our Candidate Privacy Notice .

Protecting and building a future shaped by original ideas, innovations, and creativity. From counterfeits and pirated content to fraudulent sites and unauthorized sellers, MarqVision provides an end-to-end brand integrity platform across e-commerce, social media and emerging AI platforms. Our AI-powered managed service platform for brand control and intelligence enables rapid, scalable enforcement so that brands can move faster, protect revenue, and preserve brand equity across every digital touchpoint. In a time when IP infringements pose an increasingly serious challenge, we believe that democratizing legal expertise and access to the latest in generative AI technology is critical for continuing to support the inventors, developers, and artists of the world who work tirelessly to deliver safe, high-quality products. Founded by Harvard Law graduates in 2020, MarqVision recently raised Series B, bringing total funding to $89M, and is backed by Y Combinator, Peak XV (formerly Sequoia Capital India), HSG (formerly Sequoia Capital China), Salesforce Ventures, Altos Ventures, DST Global Partners, and Softbank. Recognized with an LVMH Innovation Award and the Inc 5000 Fastest Growing Companies award in 2025, MarqVision continues to push boundaries in brand control, ensuring that innovation, creativity, and trust remain safeguarded in a rapidly evolving digital world. How You'll Make an Impact at MarqVision At MarqVision, we’re redefining digital brand protection with cutting-edge AI and automation. As a Senio Product Manager for Digital Risk Protection(DRP), you will lead a cross-functional team that builds the systems identifying and responding to the full spectrum of online threats — from impersonation and piracy to emerging AI-generated risks. You will own the entire lifecycle from detection to enforcement, driving the intelligence, automation, and scalability that power MarqVision’s protection platform. Partnering closely with customers and internal stakeholders, you will translate complex digital-risk challenges into clear product strategy and deliver solutions that raise the global standard for DRP. What You’ll Achieve Develop and scale Digital Risk Protection solutions that safeguard brands across impersonation, piracy, phishing, and emerging AI-generated threats. Work closely with engineering, AI/ML, and platform teams to define, prioritize, and deliver a cohesive roadmap that advances detection intelligence, enforcement automation, and operational scalability. Establish and drive OKRs for DRP products, consistently monitoring performance metrics such as detection accuracy, automation efficiency, and enforcement impact, while identifying opportunities for continuous improvement. Proactively collaborate with business, operations, and market-facing teams to understand evolving digital-risk challenges and translate them into pragmatic, high-impact product capabilities. Partner with senior leadership to align DRP initiatives with company-wide strategy, ensuring that product investments meaningfully strengthen MarqVision’s market position and client value. Work cross-functionally with peer Product Managers, Sales, Customer Success, and Operations to streamline go-to-market readiness, facilitate customer adoption, and manage platform-level interdependencies Skills You Bring 5+ years of experience in technical product management, with a proven track record of developing and scaling successful B2B, B2C, or internal-facing products. Bilingual proficiency in English and Korean, with the ability to navigate global markets, collaborate across cross-functional teams, and engage international customers. Exceptional communication and collaboration skills, with the ability to convey complex ideas clearly and persuasively, both verbally and in writing. Action-oriented mindset, thriving in fast-paced, ambiguous environments while driving execution with a bias for action. Analytical and data-driven problem-solving skills, leveraging both qualitative and quantitative data to tackle complex and ambiguous challenges. Nice to Have Experience in global B2B SaaS product development, successfully launching and expanding B2B products in international markets. Background in AI-driven solutions, with hands-on experience in machine learning applications or AI-powered products. Proficiency in SQL (intermediate to advanced level) or a strong ability to rapidly upskill in data analysis and querying. Additional Reference MarqVision Company Blog Leadership Team Be Part of the MarqVision Team Collaborate with a global team spanning 10+ countries and make a worldwide impact. Enjoy flexible working hours (8–10 AM start) and a hybrid work model (2 remote days per week). Receive U.S. stock-based compensation upon joining. Stay healthy with company-sponsored regular health checkups. Improve your skills with in-office English conversation classes. Get lunch allowances when working in the office and dinner & taxi fare support for late workdays. Bond with your team through company-sponsored lunches and dinners. Enjoy a fully stocked office with snacks, beverages, coffee, and even beer! Interview Process Please submit all documents as a PDF file The interview process is as follows Application Review > Screening Interview > Hiring Manager Interview > Team Interview > Culture Fit Interview > Case Study > Final Interview The interview process is subject to change. This is a full-time position with a 6-month probationary (trial) period Please ensure that all submitted documents are accurate. Any false information may result in the withdrawal of your acceptance or offer of employment. Equal Opportunity At MarqVision, we believe real growth comes with attracting the brightest minds, motivating them to succeed in their position, and ensuring plenty of fun along the way. If you think this position is for you, apply now! MarqVision is an Equal Opportunity Employer and encourages applicants of all backgrounds to apply. We are committed to building a diverse and inclusive workforce that reflects the customers and communities we serve. By applying for this role, you acknowledge MarqVision’s Global Recruiting Privacy Policy. Your privacy is important to us. Please review our Candidate Privacy Notice .

ABOUT AIRWALLEX Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles https://www.airwallex.com/en-us/operating-principles to see it in full. HOW YOU'LL MAKE IMPACT As an Engineering Manager, you’ll lead the architecture, development, and operation of platform systems that support Airwallex’s global treasury and payment products. You’ll manage and develop a high-performing engineering team, strengthening team health, execution quality, and long-term technical outcomes. - Set technical direction, guide key architectural decisions, and deliver scalable, reliable, and high-performing services. - Partner closely with engineering, product, and cross-functional stakeholders to shape platform strategy, prioritise effectively, and deliver capabilities aligned with customer and business needs. - Contribute to code reviews, technical problem-solving, and critical implementation work where needed, while maintaining high standards for engineering quality, reliability, and operational excellence. - Use data and system insights to improve platform performance, reliability, and team effectiveness. - Set technical direction across a distributed engineering team by leading design reviews for platform-wide changes, collaborating with engineering hubs across the US, Singapore, Hong Kong, and Shanghai. You’ll work from our Seoul office five days a week. WHAT WE'RE LOOKING FOR ESSENTIALS - Proven experience leading high-performing engineering teams. - Strong software engineering and system architecture background, with 10+ years of experience in modern engineering environments. - Strong programming or scripting skills in a language such as Java, Kotlin, C++, Python or a similar language. - Strong technical judgment and experience guiding teams building scalable, reliable systems. - A bachelor’s degree in Computer Science, Software Engineering, or a related field. - Strong cross-functional collaboration and execution skills. - High ownership, sound prioritisation, and adaptability in fast-paced environments. - A data-driven, customer-aware, and quality-focused approach. PREFERRED - Experience in fintech, payments, or other regulated financial domains. - Deep experience with JVM-based ecosystems, including Java or Kotlin with Spring or Spring Boot. - Prior experience leading teams responsible for high-availability, low-latency systems. - Track record of leading complex, ambiguous technical initiatives from design through delivery and operation. YOU'LL THRIVE HERE IF - You’re comfortable owning the roadmap yourself. - You’re comfortable making decisions with incomplete information and moving quickly anyway. - You’re comfortable acting as a bridge between the local team and our global colleagues, sharing context clearly and helping both sides work effectively as one team. - You say what you mean. You’re direct, but you lead with respect. - You can connect dots across functions and hold the big picture without losing grip on the details. LEARN MORE ABOUT YOUR TEAM The Global Treasury and Payment Network (GTPN) team sits at the heart of Airwallex’s payment infrastructure. As one of our foundational businesses and a major contributor to our growth, we build and operate the core treasury and payment infrastructure that powers our global financial products. We operate at the intersection of global financial infrastructure and modern product innovation, expanding the reach and capabilities of our treasury and payment network, strengthening reliability and resilience, and building innovative payment products at global scale. We’re a distributed engineering team, with talented engineers across established and emerging hubs around the world. As we continue to expand, you’ll work closely with product managers, designers, and engineers to build and evolve products and platforms that solve complex financial problems and support businesses around the world. APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com http://airwallex.com email address. Please apply only through careers.airwallex.com http://careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. EQUAL OPPORTUNITY Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

ABOUT AIRWALLEX Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles https://www.airwallex.com/en-us/operating-principles to see it in full. HOW YOU'LL MAKE IMPACT As an Engineering Manager, you’ll lead the architecture, development, and operation of platform systems that support Airwallex’s global treasury and payment products. You’ll manage and develop a high-performing engineering team, strengthening team health, execution quality, and long-term technical outcomes. - Set technical direction, guide key architectural decisions, and deliver scalable, reliable, and high-performing services. - Partner closely with engineering, product, and cross-functional stakeholders to shape platform strategy, prioritise effectively, and deliver capabilities aligned with customer and business needs. - Contribute to code reviews, technical problem-solving, and critical implementation work where needed, while maintaining high standards for engineering quality, reliability, and operational excellence. - Use data and system insights to improve platform performance, reliability, and team effectiveness. - Set technical direction across a distributed engineering team by leading design reviews for platform-wide changes, collaborating with engineering hubs across the US, Singapore, Hong Kong, and Shanghai. You’ll work from our Seoul office five days a week. WHAT WE'RE LOOKING FOR Essentials - Proven experience leading high-performing engineering teams. - Strong software engineering and system architecture background, with 8+ years of experience in modern engineering environments. - Strong technical judgment and experience guiding teams building scalable, reliable systems. - A bachelor’s degree in Computer Science, Software Engineering, or a related field. - Strong cross-functional collaboration and execution skills. - High ownership, sound prioritisation, and adaptability in fast-paced environments. - A data-driven, customer-aware, and quality-focused approach. Preferred - Experience in fintech, payments, or other regulated financial domains. - Deep experience with JVM-based ecosystems, including Java or Kotlin with Spring or Spring Boot. - Prior experience leading teams responsible for high-availability, low-latency systems. YOU'LL THRIVE HERE IF - You’re comfortable owning the roadmap yourself. - You’re comfortable making decisions with incomplete information and moving quickly anyway. - You’re comfortable acting as a bridge between the local team and our global colleagues, sharing context clearly and helping both sides work effectively as one team. - You say what you mean. You’re direct, but you lead with respect. - You can connect dots across functions and hold the big picture without losing grip on the details. LEARN MORE ABOUT YOUR TEAM The Global Treasury and Payment Network (GTPN) team sits at the heart of Airwallex’s payment infrastructure. As one of our foundational businesses and a major contributor to our growth, we build and operate the core treasury and payment infrastructure that powers our global financial products. We operate at the intersection of global financial infrastructure and modern product innovation, expanding the reach and capabilities of our treasury and payment network, strengthening reliability and resilience, and building innovative payment products at global scale. We’re a distributed engineering team, with talented engineers across established and emerging hubs around the world. As we continue to expand, you’ll work closely with product managers, designers, and engineers to build and evolve products and platforms that solve complex financial problems and support businesses around the world. APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com http://airwallex.com email address. Please apply only through careers.airwallex.com http://careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. EQUAL OPPORTUNITY Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

ABOUT AIRWALLEX Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles https://www.airwallex.com/en-us/operating-principles to see it in full. HOW YOU'LL MAKE IMPACT You'll architect distributed payment systems at global scale, designing and evolving core infrastructure across real-time local clearing, SWIFT, and proprietary treasury routing in 150+ countries. - Architect distributed payment systems at global scale, designing and evolving core infrastructure across real-time local clearing, SWIFT, and proprietary treasury routing in 150+ countries. - Solve complex financial integrity problems by building idempotent, fault-tolerant systems for multi-currency reconciliation, asynchronous settlement, and compensation logic across unreliable banking partners. - Own the reliability and observability of the payment network by defining SLAs, designing for graceful degradation during partner outages, and building real-time payment health monitoring. - Use payment telemetry to optimise routing, identify bottlenecks, and measure how infrastructure changes affect settlement speed and conversion. - Set technical direction across a distributed engineering team by leading design reviews for platform-wide changes, collaborating with engineering hubs across the US, Singapore, Hong Kong, and Shanghai. You'll work from our Seoul office five days a week. WHAT WE'RE LOOKING FOR Essentials - 7+ years’ experience building and operating production software, including distributed systems at scale. - Strong system architecture skills, with practical experience designing for fault tolerance, idempotency, asynchronous workflows, reconciliation, settlement, and failure recovery. - Experience owning reliability for critical systems, including defining SLAs, designing graceful degradation, building observability, and leading incident response. - Strong programming or scripting skills in a language such as Java, Kotlin, C++, Python or a similar language. - A bachelor’s degree in Computer Science, Software Engineering, or a related field. - Experience setting technical direction across multiple teams through design reviews, RFCs, and architecture decisions. - Strong analytical skills, using operational and product data to guide technical decisions. PREFERRED - Experience in fintech, payments, or other regulated financial domains. - Deep experience with JVM-based ecosystems, including Java or Kotlin with Spring or Spring Boot. - Prior experience leading teams responsible for high-availability, low-latency systems. YOU'LL THRIVE HERE IF - You're comfortable owning the roadmap yourself. - You hold yourself to a high standard even when no one is watching. Quality and accountability aren't external expectations, they're internal ones. - You're comfortable with ambiguity. Give you a problem, not a prescription, and you'll run with it. - You enjoy working closely with people across multiple countries and time zones as part of one connected, global team. - You can advocate hard for a position, then fully support the team's direction once a call is made. LEARN MORE ABOUT YOUR TEAM The Global Treasury and Payment Network (GTPN) team sits at the heart of Airwallex’s payment infrastructure. As one of our foundational businesses and a major contributor to our growth, we build and operate the core treasury and payment infrastructure that powers our global financial products. We operate at the intersection of global financial infrastructure and modern product innovation, expanding the reach and capabilities of our treasury and payment network, strengthening reliability and resilience, and building innovative payment products at global scale. We’re a distributed engineering team, with talented engineers across established and emerging hubs around the world. As we continue to expand, you’ll work closely with product managers, designers, and engineers to build and evolve products and platforms that solve complex financial problems and support businesses around the world. APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com http://airwallex.com email address. Please apply only through careers.airwallex.com http://careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. EQUAL OPPORTUNITY Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. Production Engineer, LLM Serving Location: Seoul, South Korea (Hybrid) About the Job Owns the reliability, observability, and service-level performance of production LLM serving services on FuriosaAI's RNGD NPUs. You will improve latency, throughput, and resource efficiency through workload-driven measurement, bottleneck analysis, and software engineering. Our stack uses llm-d and Furiosa-LLM , with Istio for traffic management in Kubernetes-based deployments and Mooncake for L3 KV-cache storage. You will own the serving service layer, collaborating with infrastructure, inference engine, runtime, and compiler teams on improvements that span their components. Key Responsibilities Operates and improves RNGD-based LLM serving services, defining SLIs/SLOs and production readiness criteria to guide reliability and capacity decisions. Builds metrics, logs, traces, dashboards, and actionable alerts across the serving request path, tracking availability, errors, time to first token (TTFT), inter-token and end-to-end latency, throughput, and NPU utilization. Designs benchmarks and load tests reflecting production input/output lengths, concurrency, and traffic patterns. Uses latency distributions, throughput, and utilization to establish baselines, detect regressions, and plan serving capacity. Diagnoses bottlenecks across routing, queueing, batching, caching, networking, and inference execution. Improves service components and configurations to increase throughput and resource efficiency while meeting latency SLOs. Improves deployment topologies, autoscaling, health checks, graceful degradation, and Istio traffic policies for serving workloads, partnering with the infrastructure team on shared Kubernetes and service mesh capabilities. Automates serving deployments and validates changes through performance tests, canary rollouts, and rollback procedures, collaborating with the build and release team on release artifacts. Participates in on-call and incident response, from mitigation to root-cause analysis and preventive improvements. Builds runbooks and recovery automation to reduce operational toil. Minimum Qualifications Bachelor's degree in Computer Science or a related field, or equivalent practical experience, with 3+ years developing and operating production services. Strong programming skills in Rust, C++, Python, or Go, with the ability to read, instrument, and improve existing production code. Hands-on experience operating services in Kubernetes and solid understanding of Linux, containers, networking, concurrency, and distributed systems. Understanding of LLM serving concepts, including prefill/decode, batching, KV-cache management, and request scheduling, and their impact on performance. Experience profiling production services and analyzing telemetry to identify bottlenecks across the request path and validate improvements in tail latency, throughput, and resource efficiency. Experience building observability systems and using metrics, logs, and traces to diagnose production incidents, restore services, and implement preventive improvements. Ability to communicate quantitative findings and collaborate across teams to deliver measurable production improvements. Preferred Qualifications Experience operating LLM serving systems using llm-d , vLLM, SGLang, TensorRT-LLM, or similar technologies. Experience optimizing request routing, load balancing, queueing, or autoscaling, and translating workload measurements into capacity plans or serving-cost estimates. Experience with inference optimizations such as continuous batching, prefix KV-cache reuse, speculative decoding, distributed inference, or kernel optimization. Experience with Istio traffic management, infrastructure as code, or GitOps, including automated rollout and rollback workflows. Experience with Prometheus, Grafana, OpenTelemetry, and reliability practices such as SLO design, error budgets, and post-incident reviews. Experience operating GPU/NPU workloads in on-premises or cloud environments and diagnosing issues across drivers, runtime, orchestration, and applications. Experience developing software in Rust. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact talent@furiosa.ai

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises in Korea understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers in Korea throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders, including global teams across time zones, to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to span the gamut from technical deep dives for engineering and development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases, including Korean language use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in people management for the technical sales roles. Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, including C-suite executives, engineering and IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Fluency in Korean and English Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seoul. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production. - Build full-stack systems that deliver customer value and sharpen how we learn. - Embed closely with customer teams, understand their needs, and guide adoption of what you build. - Scope work, sequence delivery, and remove blockers early. - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. - Contribute directly in the code when progress or clarity depends on it. - Codify working patterns into tools, playbooks, or building blocks that others can use. - Share field feedback that helps Research and Product understand where the models succeed and where they can improve. - Keep teams moving through clarity and follow-through. You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. - Have scoped and delivered complex systems in fast-moving or ambiguous environments. - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks. - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience. - Simplify complexity and make fast, sound decisions under pressure. - Communicate clearly with engineers, product teams, and customer stakeholders. - Spot risks early and adjust without slowing down. - Model calm and judgment when the stakes are high. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Seoul, South Korea. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: - Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

ABOUT THE TEAM The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. ABOUT THE ROLE As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. This role is based in Seoul, South Korea. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. - Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities. - Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes. - Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment. - Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production. - Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans. - Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders. - Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams. - Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. - Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization. - Apply industry or digital-native expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities. - Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. - Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact. - Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers. - Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. - Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows. - Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. - Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership. - Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes. - Bring meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses. - Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan. - Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Strong English and Korean communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview Coupang Pay provides seamless and reliable payment experiences across Coupang’s commerce ecosystem. Our Data Analytics team partners closely with Product, Business, Data Science, and Engineering to build trusted data foundations, understand business performance, generate actionable insights, and support data-driven product decisions. We are looking for a Data Analyst who combines strong technical analytics capabilities with strong business judgment. This role goes beyond reporting and building data mart as needed - the analyst is expected to independently identify business problems, conduct systematic and in-depth analyses, and translate findings into recommended actions. What You Will Do Own key payment metrics, data marts, and Tableau dashboards to provide accurate and scalable visibility into business and product performance. Conduct systematic deep-dive analyses to diagnose business problems, uncover drivers and opportunities, and provide actionable recommendations. Analyze payment funnels, customer behavior, payment methods, conversion, transaction success, and other key business trends. Partner with Product and Business teams to define OKRs, identify analytical opportunities, and influence product and business decisions. Support A/B testing and experimentation, including metric design, experiment readouts, deep dives, and interpretation of business impact. Identify gaps in existing metrics and data, and design reusable datasets, analytical frameworks, and self-service solutions. Communicate complex analytical findings clearly to business, product, and leadership stakeholders and drive alignment on recommended actions. Explore new analytics technologies, including LLM/Generative AI, to improve analytical depth, productivity, and decision-making. Basic Qualifications 4+ years of experience in data analytics, product analytics, business analytics, or a related quantitative role. Advanced SQL skills and experience working with large-scale datasets and building data marts. Strong experience with Tableau or similar BI/visualization tools. Demonstrated ability to independently structure ambiguous business problems and conduct rigorous, in-depth analysis. Strong business judgment with a track record of translating data into insights, recommendations, and measurable actions. Experience defining business/product metrics and supporting experimentation or A/B testing. Strong communication and cross-functional collaboration skills, with professional proficiency in English and/or Chinese (both written and verbal). Preferred Qualifications Experience in payments, fintech, e-commerce, or other high-volume transaction businesses. Experience with Python, Spark/Hive, Redshift, Airflow, or similar data technologies. Strong knowledge of statistical analysis, experimental design, and causal inference. Experience applying LLM/Generative AI or other emerging technologies to analytics, automation, or business problem-solving. For more senior candidates, demonstrated experience leading complex analytical initiatives, developing scalable analytics frameworks, and influencing product or business strategy. Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. This is a contract position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy Document Return Policy (This notice MUST be included in a job posting in Korea only to comply with the Fair Hiring Procedure Act.) This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email ( recruitingops@coupang.com ) . In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Team Description People Systems Administration(PSA) team owns and evolves Coupang's recruiting and related HR technology ecosystem. Supporting more than 14 platforms, PSA is responsible for system stability, technology adoption, integration architecture, and platform governance across the recruiting landscape. The team works closely with Recruiting, People Operations, Corporate IT, and global technology partners to improve scalability, operational excellence, and business value. Beyond day-to-day operations, PSA is building the foundations for data-driven decision making and future AI-enabled capabilities. Role Overview Coupang operates a complex technology ecosystem that connects recruiting platforms, enterprise integrations, data flows, and emerging AI capabilities. As this ecosystem continues to expand, People Systems Administration(PSA) is investing in dedicated leadership for architecture, integration governance, and data strategy. This is not a traditional system administration role. As a Principal-level individual contributor, you will influence technology decisions, define scalable standards, and shape the future direction of Coupang's recruiting and associated HR technology landscape. Working closely with Recruiting, People Operations, Corporate IT, and global technology partners, you will help build the foundations that enable future growth, automation, and AI-driven innovation. What You Will Do Own the architecture strategy and integration roadmap for Coupang's recruiting technology ecosystem. Establish and govern integration architecture standards across recruiting systems, including APIs, webhooks, middleware platforms, and data flows. Lead technical reviews and architectural assessments for platforms such as Greenhouse, Eightfold, BrightHire, and internally developed solutions. Serve as the primary technical escalation point for complex cross-system incidents, coordinating root cause analysis and resolution across multiple vendors and stakeholders Partner with Corporate IT, Security, Privacy, and Compliance teams to strengthen governance, risk management, and data protection practices across the recruiting technology ecosystem. Develop long-term technology roadmaps, integration strategies, and AI-ready data foundations that improve scalability and maximize the value of existing technology investments Basic Qualifications Experience influencing technology decisions across multiple stakeholder groups without direct reporting authority. 7+ years of experience in IS / HRIS Architecture, Enterprise Integration Engineering, Technical Product Management, or related disciplines. Strong experience designing and supporting enterprise integrations using REST APIs, SOAP APIs, webhooks, middleware platforms, and data modeling principles. Experience with SQL, data analysis, and troubleshooting complex system integrations. Experience supporting business-critical enterprise platforms with complex integration, security, or compliance requirements. Fluent Korean language skills and professional English communication skills capable of collaborating with global stakeholders and technology vendors Bachelor’s degree. Preferred Qualifications Experience establishing enterprise architecture, integration governance, or technology standards in a multi-vendor SaaS environment. Experience developing HR technology strategies, operating models, or long-term technology roadmaps. Knowledge of data governance, privacy regulations, information security controls, or compliance frameworks. Experience supporting AI-enabled talent acquisition technologies or AI-readiness initiatives Experience mentoring technical teams and establishing scalable technical standards and governance practices. Recruitment Process and Others Recruitment Process Application Review - Job Fit Interview - Focus Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy Document Return Policy (This notice MUST be included in a job posting in Korea only to comply with the Fair Hiring Procedure Act.) This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email ( recruitingops@coupang.com ) . In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

We are seeking an exceptionally qualified, technical, and data-driven Director of Cybersecurity Audit & Continuous Assurance (Technical Program Management) to join our IT Internal Audit leadership team in Seoul, South Korea. Reporting directly to the Head of IT Audit, this role will serve as a Subject Matter Expert (SME) for enterprise cybersecurity risks and technical audit execution across our high-scale, cloud-native e-commerce platforms. In an era of hyper-scale e-commerce, traditional periodic auditing alone is insufficient. This leader will lead the execution of our global cybersecurity audit strategy while architecting and scaling an advanced Continuous Cybersecurity Control Monitoring (CCCM) and Automated Assurance Validation framework. By blending deep technical cybersecurity domain expertise with data engineering and analytics capabilities, this role will collaborate with relevant teams to develop methods to enhance identification, measurements, and mitigation of cyber risks across complex, microservice-based engineered systems. Key Responsibilities Cybersecurity Audit Strategy & Execution Assist in development and execution of the enterprise cybersecurity audit plan, continuously refining audit coverage based on emerging threats, architectural shifts, and global regulatory mandates. Lead technical audits covering cloud security infrastructure, identity and access management (IAM), zero-trust architecture, CI/CD pipelines, container security, network telemetry, and data loss prevention (DLP). Act as the principal SME within IT Internal Audit for security engineering, cryptography, security operations (SOC), threat hunting, and vulnerability management. Partner closely with Information Security, Compliance, Privacy, Cloud Platform Engineering, Infrastructure, and Software Engineering leadership to drive proactive risk mitigation and remediate audit findings. Provide clear, data-backed reports and briefings to leadership stakeholders Continuous Monitoring & Assurance Automation Architect and lead the implementation of a continuous cybersecurity control monitoring strategy Design scripts, queries, and automated testing routines to transition high-risk controls from periodic manual sampling to near-real-time automated validation. Work with key stakeholders to develop custom security control dashboards and risk observability tools using automated log ingestion (SIEM/Data Lake) to detect control drift, anomalies, and policy non-compliance instantly. Establish standardized technical audit methodologies, script repositories, automated testing SOPs, and analytics frameworks for the broader IT Audit function. Basic Qualifications Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, Computer Engineering, or a quantitative data field, combined with 12+ years of progressive experience in cybersecurity engineering, cyber risk, or technical cybersecurity auditing within large-scale or publicly traded technology/e-commerce organizations. Strong hands-on knowledge of cloud security architectures (AWS/Azure), distributed systems, modern API security, microservices, and containerized deployments (Kubernetes/Docker). Deep technical mastery of recognized security frameworks (NIST CSF, ISO/IEC 27001/27002, CIS Benchmarks, NIST 800-53, ISMS/K-ISMS-P). Based in (or willing to relocate as an expatriate to) Seoul, South Korea. Fluent in English with strong technical communication skills. Preferred Qualifications Demonstrated experience building or managing continuous auditing/monitoring systems, data analytics pipelines, or security control observability frameworks using SQL, Python, or data platform tools. Active professional security credentials such as CISSP, CISA, CISM, CRISC, or CCSP. Proven track record auditing or securing hyper-scale e-commerce platforms, payment systems (PCI-DSS), or high-volume transactional microservice environments. Experience utilizing SIEM platforms (e.g., Splunk, Elastic Search) or cloud data warehouses (e.g., Snowflake, AWS Athena/Redshift) to write continuous control monitoring queries and automated alert mechanisms. Familiarity leveraging AI/ML tooling or intelligent automation for anomaly detection, evidence extraction, and risk profiling. Knowledge of Korean cybersecurity/privacy regulatory landscapes (K-ISMS-P, PIPA). Working knowledge or professional proficiency in the Korean language is a significant plus. Recruitment Process and Others: Recruitment Process Application Review – Job Fit Interview - Focus Interviews - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Things to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “ Company ”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company by email (recruitingops@coupang.com) In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing ecommerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Job Overview We are looking for an Corporate IT Security Lead to build and run a scalable security function covering corporate endpoints, workforce access, SaaS, browsers, collaboration platforms and other employee-facing technology. This is a hands-on leadership role, and the person will be expected to establish repeatable security processes, improve coverage across the corporate technology estate, and reduce reliance on manual security work by embedding controls into platforms and engineering workflows. Key Responsibilities Corporate Security Strategy and Risk Build and maintain a clear view of the major security risks across corporate endpoints, workforce access, browsers, SaaS and collaboration platforms. Translate those risks into a prioritized security roadmap and practical control requirements. Identify systemic gaps and drive solutions that improve security across the environment rather than addressing issues one system at a time. Scalable Security Processes Build repeatable processes for assessing corporate technologies, identifying control gaps and tracking remediation. Define clear security baselines, review criteria and exception processes (alongside GRC function) Increase security coverage without linearly increasing team size through automation, standardization, self-service and platform-level controls. Establish metrics for coverage, control effectiveness, exceptions and residual risk. Security Architecture and Control Effectiveness Define and evolve security expectations for managed devices, browsers, identity and access, SaaS, data handling and privileged activity. Work with IT and engineering teams to implement controls at the platform level wherever possible. Independently verify that important controls are operating as intended rather than relying only on configuration or policy documentation. Cross-Organization Influence Work with Corporate IT, IAM, Security Engineering and business technology owners to drive improvements across organizational boundaries. Influence technical and operational decisions without requiring direct ownership of the underlying platforms. Provide senior technical judgement on significant corporate security issues, architectural decisions and exceptions. Team Leadership and Function Building Manage and develop a small Corporate IT Security team while remaining technically involved in the highest-risk and most complex work. Establish a clear operating model, ownership boundaries and prioritisation process for the team. Build tooling, processes and partnerships that allow the team's impact to grow faster than its headcount. Develop team members and determine where additional specialist capability is genuinely required. Qualifications Strong experience in corporate, enterprise or endpoint security within a large or technically complex organization. Good technical depth across endpoint security, identity and access, browser security, SaaS security, data protection and privileged access. Experience building or operating security programs that cover large user and device populations. Demonstrated ability to replace manual or ad hoc security work with repeatable, automated or platform-level controls. Experience managing a small technical security team while remaining hands-on. Strong track record of influencing IT and engineering teams outside the direct reporting line. Comfortable operating across both technical architecture and day-to-day security operations. Recruitment Process and Others Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. The role Coupang Growth & Marketing team is seeking a Director and Head of CRM Analytics and Science to lead high-impact, data-driven initiatives that power our customer engagement and marketing ecosystem. Your mission will be to scale and optimize how we interact with millions of customers. You will oversee data science strategy and execution across category growth, onsite marketing optimization, outbound channel optimization, and customer lifecycle management . This is a highly visible leadership role collaborating cross-functionally with engineering, product, and business leaders to build state-of-the-art personalization, targeting, and optimization models that accelerate customer lifetime value and growth What you will do: Leadership & Strategy Define and execute the vision and technical roadmap for CRM, lifecycle marketing, and channel optimization data science initiatives. Build, mentor, and scale high-performing squads of data scientists and applied researchers, fostering an environment of technical excellence and continuous growth. Align data science strategy with broader Growth & Marketing business priorities to drive measurable efficiency and revenue impact. Impact & Execution Lead the development and deployment of advanced machine learning models, personalization algorithms, and optimization frameworks across outbound channels (e.g., push, SMS, email) and onsite marketing surfaces. Drive data science solutions for customer lifecycle stages (acquisition, activation, retention, and churn prevention) and strategic category growth. Translate ambiguous marketing and growth challenges into structured data science problems, taking end-to-end ownership from initial ideation to productionization. Cross-Functional Collaboration Partner closely with Product, Engineering, and Growth Marketing stakeholders to embed data science deeply into our marketing automation and customer engagement platforms. Act as a trusted advisor to senior leadership , communicating complex model mechanics and incremental business impacts clearly and effectively. Collaborate with core data infrastructure teams to ensure the scalability and reliability of real-time data pipelines required for marketing personalization. Technical Excellence Set the gold standard for experimentation , measurement, and causal inference within the onsite marketing, CRM and lifecycle measurement domains. Ensure the scalability, robustness, and monitoring of production models handling massive scale and real-time decisioning. Stay ahead of emerging trends in AI, deep learning, NLP, and recommendation systems to continuously improve our marketing tech stack. Basic Qualifications Undergraduate degree or higher in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related discipline 8+ years of experience in data science, machine learning, or advanced analytics. 5+ years of experience directly leading and managing high-performing data science teams. Proven track record of delivering measurable business impact (e.g., lift in conversion, retention, ROI) through production-grade machine learning models. Strong foundation in statistical modeling, machine learning, personalization/recommendation systems, and large-scale A/B testing. Preferred Skills and Qualifications Experience in Growth Marketing/CRM Data Science: Deep familiarity with customer lifetime value (LTV) modeling, churn prediction, marketing mix modeling (MMM), incrementality testing, or audience segmentation. Advanced degree (MS or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related discipline. E-commerce or Tech Scale: Experience working in large-scale, fast-paced technology or e-commerce environments handling massive datasets. Navigating Ambiguity: Demonstrated success operating in high-growth settings, turning loosely defined business goals into concrete technical executions. Exceptional Communication: Ability to influence both technical engineering teams and non-technical business stakeholders with compelling, data-backed narratives. Recruitment Process and Others: Recruitment Process Application Review – Job Fit Interview - Focus Interviews - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Things to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “ Company ”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company by email (recruitingops@coupang.com) In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

About Coupang We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. About the Team The Growth Marketing (GM) organization drives sustainable and efficient customer acquisition, conversion, retention, and growth across Coupang. Within GM, the Growth Product & Machine Intelligence team leads product strategy and execution, supported by dedicated AI/ML/Core Engineering, Data Science, and Analytics teams. Role Overview We are seeking a strategic and execution-focused product leader to join our Onsite Growth Product team. In this role, you will be a key pillar of the team, owning critical initiatives across landing experiences, campaign management, and personalization. You will partner with AI/ML engineering, UX design, and marketing leaders to deliver a best-in-class onsite experience, leveraging AI-driven innovation to optimize conversion for all incoming traffic through a horizontal platform that powers high-performing, personalized customer journeys. Key Responsibilities Define and execute the product vision for ML-powered landing page experiences, including personalized recommendations and contextual UX. Lead end-to-end product development, from ideation through launch and iteration. Drive conversion uplift through experimentation, reinforcement learning, and rapid feedback loops. Collaborate with marketing and design teams to ensure generated content aligns with brand guidelines and performance goals. Monitor industry trends and emerging technologies to inform product strategy. Own metrics such as GMV uplift, buyer conversion, and engagement, ensuring measurable impact at scale. What We’re Looking For Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field. 7+ years of product management experience, including 3+ years in AI/ML, AdTech or Onsite Growth domains. Proven track record of driving measurable business impact (conversion, GMV) through product innovation. Strong analytical skills with expertise in experimentation frameworks and causal inference. Exceptional communication and leadership skills, with the ability to influence across functions and levels. Entrepreneurial mindset with a bias for action and passion for innovation. Recruitment Process and Others Recruitment Process Application Review - 1st Virtual Interview - 2nd Virtual Interview - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate's overall experience, etc. this will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Company Introduction Coupang is a Fortune 150 global technology company and the largest e-commerce platform in South Korea, driven by a mission to create a world where customers ask: "How did I ever live without Coupang?" By leveraging an end-to-end vertically integrated logistics network and cutting-edge machine learning and robotics, Coupang delivers a seamless, mobile-first shopping experience through signature services such as Rocket Delivery, Rocket Fresh, Coupang Eats, Coupang Play, and Coupang Pay . With an expanding footprint that includes operations in Taiwan and global luxury marketplace Farfetch, Coupang continues to revolutionize retail, logistics, and digital services through continuous technical innovation and an unwavering obsession with customer delight . Role Overview We are looking for a vision-driven, analytical Director of Product Management (L7) to lead the strategy, portfolio, and continuous evolution of our Supplier Integration Systems & Master Data Platform . In this role, you will build the AI-driven models, platform features, and intelligent applications needed to solve our most complex business problems . As a senior product leader, you will own the strategic product roadmap and bring innovative ideas to life that solve hard operational challenges and wow our Customers . You will work hand-in-hand with Engineering, Data Science, and Executive Leadership, establishing governance frameworks that guarantee operational velocity, data accuracy, and system resilience at scale . What You Will Do Own the strategic vision and roadmap for the Master Data Platform, turning enterprise data into a foundational driver for intelligent planning and in-stock excellence . Build AI/ML models to transform master data into actionable insights, driving smarter planning and optimizing in-stock availability . Analyze complex, high-volume datasets to uncover operational patterns and drive data-backed company-wide decisions . Design and deliver intelligent platform features and applications that simplify data ingestion, prevent out-of-stock scenarios, and optimize overall inventory health . Partner with Engineering, Data Science, and Operations to build scalable, intelligent data systems . Define core success metrics and run experiments to validate AI model performance and business impact . Align executive leadership and cross-functional partners on business processes, system rules, and platform priorities—navigating ambiguity and pushback to drive alignment . Establish standardized operational logic and governance rules across business units to eliminate ambiguity, drive process adoption, and protect selection continuity . Maintain enterprise-wide data hygiene, quality standards, and architectural frameworks that ensure system resilience at scale . Basic Qualifications Analytical thinker who works well in a fast-paced, data-driven, and highly ambiguous entrepreneurial culture . Demonstrated ability to work with cross-functional teams and manage multiple complex initiatives . Bias for action and willingness to get your hands dirty to get the job done . Sound business judgment and proven ability to effectively communicate and influence senior stakeholders and executive leadership . Superior verbal and written communication skills . Bachelor's degree in Computer Science, Engineering, or equivalent experience . Preferred Qualifications E-commerce, supply chain, or logistics experience . Proven experience building and scaling enterprise data platforms, Master Data Management (MDM) systems, or AI/ML-driven features . Experience working with multiple cross-functional teams across different geographies . Fast-paced growth or startup environment experience . Korean communication skills . Recruitment Process and Others Recruitment Process Application Review - Job Fit Interview - Focus Interview - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/ko/land/jobs/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable. 쿠팡은 모두에게 공평한 기회를 제공합니다 쿠팡은 어느 누구에게나 열려 있는 회사입니다. 다양한 국가 출신 임직원이 함께 일하는 글로벌팀이 없었더라면 전례없는 성공을 이루기 어려웠을 겁니다.

Principal Engineer/Chief Architect, Coupang Eats Coupang is one of the largest and fastest growing commerce platforms on the planet. We are on a mission to revolutionize everyday lives for our customers, employees and partners. We solve problems no one has solved before to create a world where people ask, “How did we ever live without Coupang?” Coupang is a global company with offices in Beijing, Los Angeles, Seattle, Seoul, Shanghai, and Silicon Valley. Coupang Eats, one of the fastest growing business units within Coupang, innovates to offer the best customer experience with our fast and convenient food delivery service. We are an interdisciplinary team consisting of Business, Product, Engineering, Sales and Operations focused on building the best food delivery company in the world. Coupang Eats strives to deliver your food faster and safer than ever and offers a seamless one-touch payment to help customers save time paying to spend more time choosing their menu. If you have the technical and leadership aptitude with a passion to drive impact, join us. Role Overview Coupang Eats Engineering builds various products & services for our Customers, Stores (Restaurants/Cafes), Couriers and internal operations. It’s a complex multi-faceted problem that requires optimization across the business (customer experience, merchant management, delivery efficiency & effectiveness) to provide fast and cost-effective experience to our customers and partners. As a senior technical leader in Eats Engineering, you will drive cross-team initiatives that are critical to business growth while ensuring engineering excellence. You will ensure all of Eats Engineering platforms are scalable, extendable, and highly available. You will be comfortable getting into code level details with other engineers and building software. Key Responsibilities Provide technical leadership to Eats Engineering organization and ensure that our engineers are working on building scalable and fault-tolerant systems Engage with senior leadership and product owner(s) in developing and executing technical strategy and roadmap ensuring scalability and simplicity Drive mission critical projects in collaboration with various stakeholders and engineers to solve complex business problems Own the overall architecture plan and application of best practice architecture, design patterns and ongoing simplification of the system landscape Dive deep to solve critical system issues. Ideally identify them before they happen and device a plan to address them Help recruit top tier senior engineers to develop and grow a high performance and impact-driven organization Develop, mentor, and coach engineers on architecture, design and engineering best practices Communicate clearly and concisely with the team members, peers and leadership team Own definition, measurement, and reporting of system and operational metrics Minimum Qualifications 10+ years of industry experience building B2C scale products, preferably in Java stack and AWS cloud environment 7+ years of experience in technical leadership roles. Demonstrated experience in driving technical vision and execution at an organization / business unit level Hands on technical skills in designing, building and delivering scalable and highly available products and services Solid technical expertise and experience in Java development, system & data architecture, distributed computing & storage, messaging services, caches and performance tuning Experience collaborating and driving initiatives across globally distributed teams Data driven, business centric, and a high bias for action and impact. Strong sense of ownership, urgency, and drive Strong verbal and written communication skills Bachelor/Master/PhD in Computer Science or Engineering, or related field Ecommerce / Food Delivery product development experience, a big plus

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview We are hiring for the role of a Program Manager S&D Global Ops with the Search and Discovery org in Seoul, Korea. The right candidate will lead Search Global Operations and support the product org that focuses on building strong data insights & execution platforms for the Search & Discovery team. You will work on supporting labeling & audit operations on the cutting-edge AI/ML technologies, partnering with operations and tech talent to shape technology offerings that help our customers find the right products at the right time. For each initiative that you drive, you will work directly with Coupang’s Search & Discovery leadership team to define the strategy and then collaborate with cross-functional teams across business operations and tech. You will be responsible for the success of the entire data labeling and operations management for the S&D organization going forward. Key Responsibilities Responsibilities will include, but not be limited to, the following: Engage directly with internal users to clarify their top problem and identify the root cause. Align the vision, strategy and success metrics to help solve the identified problems with help of human data labeling and operations’ teams. Create the program execution plan and track progress consistently, considering the necessary trade-offs and optimizing for the best customer experience. Identify the resources necessary to solve the Customer problems, onboard them into the cross-functional team, and rally them behind the org’s vision. Lead the program metrics implementation to achieve our business goal while meeting a high-quality bar. Drive alignment with stakeholders & senior leadership, and provide regular updates on the initiative(s). Key Experience Experience in data-centric operations such as managing data labeling teams building for products leveraging ML/LLMs. Experience doing customer research including Usability Testing & Interviews. Track record of managing innovative programs for a large technology-first company. Track record of using data and quantitative research methodologies for operational excellence. Ability to think strategically and at the same time stay on top of tactical execution in an agile environment. Not afraid of making decisions and taking calculated risks. Experience working with multiple teams across different geographies. Traits and Competencies Data-native and analytical thinker who works well in a global, fast-paced, data-driven, cross-functional, and highly ambiguous entrepreneurial environment. Bias for action and willingness to get your hands dirty to get the job. Sound business judgment and proven ability to effectively communicate and influence others, including executive level. Ability to think strategically and at the same time stay on top of tactical execution demonstrating agility of actions. Skills and Qualifications Bachelor’s degree in Engineering, or equivalent practical experience. 8+ years of experience in Program Management. Excellent written and verbal communication skills in Korean and English. Recruitment Process and Others Recruitment Process Application Review - Job Fit Interview - Focus Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. (Recruiter Note: add in the case of full-time regulars) This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. (Recruiter Note: add if probation period is applicable, for example in the case of contract position of 3 months or longer) This is a contract position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email ( recruitingops@coupang.com ) . In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

About Coupang We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview Join our Internal Audit team to drive the future of audit automation and data analytics. In this role, you will collaborate with seasoned audit professionals and data leaders to build cutting-edge automation tools, streamline SOX testing, and unlock strategic insights across IT and Operational audit portfolios. If you are passionate about transforming processes through AI, advanced analytics, and smart automation, this is your opportunity to make a high-visibility impact. What You Will Do Implement a world class audit automation and data analytic program for Internal Audit through its maturity stages Develop automation solutions within our SOX testing program, unlocking efficiencies in our testing Promote use of advanced analytics and automation methods and techniques across all audit portfolios through direct assistance of Operational, IT, and SOX audits Develop and implement AI-driven solutions using available tools, supporting our audit teams and audit operations Analyze complex data, identify anomalies, and provide useable insight to internal and external customers Basic Qualifications 4+ years of relevant experience using business intelligence tools and databases, applying advanced analytics and data reporting techniques Proven track record in delivering solutions through application of data analytics, scripting and programming skills (Python, SQL, C++) as well as any relevant tools Knowledge of RPA tools such as Power Automate, Automation Anywhere, Blue Prism, or others strongly preferred A bachelor's or advanced degree in Computer Science, Engineering, Finance, Accounting, Economic, Auditing areas, or related fields from an accredited institution Must be Intermediate in English and Korean language (speak, read, write). Preferred Qualifications Strong project management skills Strong written and verbal communication skills Advanced English speaking and writing Proficiency in designing and implementing AI solutions using advanced techniques Basic knowledge about prompt, context engineering Big 4 Accounting Firm or similar consulting experience Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company (Coupang Recruiting Team, Tower 730, 570 Songpa-daero, Songpa-gu, Seoul). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. Hiring may be restricted in case the legal qualifications required for hiring and work performance are not met. Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. About the Team The Growth Marketing (GM) organization is responsible for enabling all things related to sustainable and efficient marketing traffic, conversion, retention, and growth at Coupang. We are one of the largest performance advertisers in the World and have invested in a full funnel marketing tech stack powered through 9+ platforms across areas. Growth Product is the product management arm of Growth Marketing and is supported by the dedicated Growth Engineering, Data Science and Analytics team within the larger GM org. Role Overview In this senior individual contributor role, you will lead the product strategy and roadmap for the Coupang Partners Program . You will define how partners discover products, interact with the Partners Portal, track performance, and optimize earnings. You will be responsible for building and scaling: Partners onboarding and activation flows Attribution, tracking, and performance measurement Monetization mechanics and incentive design AI-powered tools for product selection, and optimization This role requires a strong product mindset, analytical rigor, and the ability to operate in ambiguity. You will lead through influence, working closely with cross-functional stakeholders to deliver impactful outcomes without direct authority. What we are looking for 5–8+ years of product management experience in e-commerce, ad tech, or creator platforms Experience building and launching customer-facing digital products Proven track record of launching and scaling 0→1 products Strong understanding of performance marketing, affiliate, or influencer ecosystems Data-driven mindset with experience in experimentation and metrics definition Ability to work deeply with technical teams on complex systems and tradeoffs Excellent communication and stakeholder management skills Bachelor’s degree in Computer Science, Engineering, or equivalent experience Business fluency in English and Korean Recruitment Process and Others Recruitment Process Application Review - 1st Virtual Interview - 2nd Virtual Interview - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate's overall experience, etc. this will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

About us The fintech business of Coupang is reimagining financial services for both our consumers and sellers, so they can do more with their money. Coupang Pay focuses on delivering innovative payment and financial services solutions to everyone who uses the Coupang app — from customers buying products on Coupang.com, to marketplace vendors, and restaurants that offer their services via Coupang Eats. We develop solutions with our latest tech innovations to serve the growing needs of Coupang’s customers in Korea and Taiwan. This includes Coupay, an online wallet with a proprietary one-touch payment capability. In particular, we are rapidly scaling the Wow credit card, a co-branded card that offers industry-leading rewards as part of our efforts to maximize customer values. For sellers, we are building out multiple liquidity options to help small and medium sized enterprises grow their business, using BaaS (Banking as a Service) capability. If you want to leverage your extensive experience within the fintech space, join us. We help customers spend less time checking out so they can spend more time shopping for what they love. About the New Fintech Product Team Coupang’s fintech organization is continuously innovating to provide financial services that go beyond the shopping experience. The newly launching New Fintech Product will be a core offering within the Coupang ecosystem, designed to transform customers’ financial lives. It will create new value across various areas such as payments, asset management, and financial accessibility. We are looking for a key talent to lead the entire product lifecycle—from initial planning to development, launch, and scale. The Role We are seeking an experienced Product Manager with a strong background in new product development and leading large-scale projects. This role will be instrumental in defining and building Coupang’s new fintech product from the ground up, delivering innovative and customer-centric financial experiences. Key Responsibilities Define the product vision and strategy for Coupang’s New Fintech Product Lead the development and successful launch of a product from 0 to 1 Drive and execute large-scale projects impacting millions of customers Design and implement innovative features that address customer financial needs Continuously improve the product through experimentation, customer feedback, and data analysis Collaborate cross-functionally with design, engineering, risk, operations, and other teams to execute the product roadmap Develop product strategies for global expansion and localization Build, inspire, and lead a team of Product Managers while evangelizing the product vision internally and externally Qualifications 7+ years of experience in Product Management Proven experience in developing and launching products from 0 to 1 Demonstrated success in leading large-scale projects Strong customer-centric mindset and problem-solving skills Bachelor’s degree or higher in a technical or quantitative field Excellent written and verbal communication skills in English – preferred Understanding of marketplace or consumer platform business models – preferred Key Traits & Competencies Ability to thrive in a fast-paced, data-driven, ambiguous, and entrepreneurial environment Strategic thinking combined with strong tactical execution Strong analytical and problem-solving skills with the ability to derive insights from complex data Proven ability to communicate effectively and influence stakeholders, including executive-level audiences Recruitment Process and Others: Recruitment Process Application Review - 1st Interview - 2nd Interview – Offer The exact nature of the recruitment process may vary according to the specific job, and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. T hings to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://rocketyourcareer.usa.coupang.com/privacy-policy Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “ Company ”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company by email (recruitingops@coupang.com) In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview The Product Manager for the last mile logistics is responsible for building the product for our last mile delivery works and their vendors. The last mile logistics team build products to build driver capacity, improvement efficiency and provide a great delivery experience to drivers. The product manager's job is to understand the business goals and objectives while translating them into a technology roadmap for the logistics team. This role is very hands-on and requires a structured mindset, strong analytical skills, effective communication and detailed project management capabilities. This role is closely aligned with the leadership team, has high visibility and directly impacts business and cost metrics. What You Will Do Owning a product vision, strategy, roadmap, and KPIs for specific areas of the last mile logistics Manage the entire product lifecycle from inception to launch, including creating product requirements, defining use cases, and setting success metrics Identify the drivers and vendors key pain point and translate them into the product features. Define new projects with clear goals and timelines achieved through multi-party communication and a detailed project management process Work cross-functionally to inspire the team with the product vision and bring the product to life Qualifications Bachelor's degree in computer science or engineering, or equivalent experience At least 8-10 years of experience in product management, including developing, delivering and executing a strong product vision You have an analytical mind that works well in a fast-changing, data-driven corporate culture. You have a proven ability to work with cross-functional teams and manage multiple projects. Those with a prejudice against behaviour and a willingness to get their hands dirty to get the job done You have sound business judgment and the ability to effectively communicate and influence others. You have excellent oral and written communication skills Preferred Experienced in e-commerce, logistics or related fields Recruitment Process and Others Recruitment Process Application Review - Job Fit Interview - Focus Interview - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled . Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/ko/land/jobs/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email ( recruitingops@coupang.com ) . In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Korean text will follow English Company Introduction We exist to wow our customers. We know we're doing the right thing when we hear our customers say, "How did I ever live without Coupang?" Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview Rocket Overseas is Coupang’s cross-border e-commerce service, delivering overseas products to Korea in as fast as 2 days. Coupang Global offers a broad global selection of high-quality goods at competitive prices through an end-to-end fulfillment network. As we scale this business, we are actively looking for a high-caliber Product Manager to drive the next phase of this cross-border service. In this role, you will develop key technologies to attract, engage, and retain both our customers and third-party sellers. You will build a world-class customer and seller platform to streamline seller onboarding and product listing/catalog, design strategies to elevate the global customer experience, and help sellers scale on Coupang. Furthermore, you will manage the integrated systems connecting these end-to-end customer and seller touchpoints with our core infrastructure and global supply chain. What You Will Do Define a clear Problem Statements and drive the vision, strategy and success metrics to scale up Global business –fulfillment service, operation efficiency, campaign exposure and cost for both Coupang and sellers; Drive alignment with a variety of stakeholders, including sales and marketing executives, operations leaders, and engineering teams, to deliver on the above goals; Prioritize and create a roadmap of projects and initiatives, considering trade-offs and optimizing for Seller and customer experience; Regularly review metrics and proactively seek out new and improved data/mechanisms for visibility. Basic Qualifications 8+ years of product experience in the e-commerce industry (Experience in Marketing/campaigns, CX, Pricing is a plus) Experience and track record of delivering features and products at scale Analytical and problem-solving skills to find creative ways to cover come obstacles Experience working in e-commerce retail, product development, and global business environments Fluency in both written and spoken Korean and English Recruitment Process and Others Recruitment Process • Application Review - 1st Interview - 2nd Interview - Offer • The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. • Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider • This job posting may be closed prior to the stated end date for application if all openings are filled. • Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. • Those eligible for employment protection (recipients of veteran's benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. • Job titles and responsibilities may be subject to change depending on the candidate's overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. • Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. • This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice • Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ Document Return Policy 1. This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. 2. A job applicant, who has applied but not been finally selected for a position at Coupang (the "Company"), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. 3. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a "Request for Return of Hiring Documents" [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant's designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. 4. In preparation for a job applicant's request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. 5. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable. 회사 소개 쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 리테일 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 유지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현가능한 한계를 뛰어넘고 있습니다. 고가용성(Always-on) 과 최첨단의 앞선 기술(High-tech), 초연결사회(Hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 직무 소개 로켓직구(Rocket Overseas)는 해외 상품을 한국으로 최단 2일 만에 배송해 드리는 쿠팡의 크로스보더(크로스보더: 국가 간 거래) 이커머스 서비스입니다. 쿠팡 글로벌은 엔드투엔드(end-to-end: 처음부터 끝까지) 풀필먼트 네트워크를 통해 우수한 품질의 글로벌 상품을 경쟁력 있는 가격에 다양하게 제공합니다. 이 사업을 확장함에 따라, 당사는 크로스보더 서비스의 다음 단계를 이끌어갈 우수한 프로덕트 매니저(PM)를 적극적으로 모시고 있습니다. 본 직무에서는 고객과 제3자 판매자(입점 판매자) 모두를 유입, 인게이지(참여 유도), 유치하기 위한 핵심 기술을 개발하게 됩니다. 또한 판매자 온보딩(등록/적응) 및 상품 등록/카탈로그 작업을 간소화하는 세계적 수준의 고객 및 판매자 플랫폼을 구축하고, 글로벌 고객 경험을 향상시키기 위한 전략을 설계하며, 판매자가 쿠팡에서 성장을 도모할 수 있도록 지원합니다. 나아가 이러한 엔드투엔드 고객 및 판매자 접점을 쿠팡의 핵심 인프라 및 글로벌 공급망과 연결하는 통합 시스템을 관리하게 됩니다. 업무 내용 문제 정의 및 비전 제시: 명확한 문제 정의(Problem Statement)를 수립하고, 글로벌 비즈니스 확장을 위한 비전, 전략, 성공 지표를 주도합니다. (쿠팡과 판매자 모두를 위한 풀필먼트 서비스, 운영 효율성, 캠페인 노출, 비용 측면) 이해관계자 조율: 영업 및 마케팅 임원진, 운영 리더, 엔지니어링 팀 등 다양한 이해관계자들과의 목표 얼라인먼트(의견 일치 및 협력)를 이끌어냅니다. 우선순위 결정 및 로드맵 수립: 트레이드오프(상충 관계)를 고려하고 판매자 및 고객 경험을 최적화하는 프로젝트와 이니셔티브의 우선순위를 정하고 로드맵을 작성합니다. 지표 검토 및 가시성 확보: 지표를 정기적으로 검토하고 가시성(visibility) 확보를 위한 신규 및 개선된 데이터/메커니즘을 선제적으로 발굴합니다. 자격 요건 지표 검토 및 가시성 확보: 지표를 정기적으로 검토하고 가시성(visibility) 확보를 위한 신규 및 개선된 데이터/메커니즘을 선제적으로 발굴합니다. 이커머스 산업에서의 프로덕트(Product) 경력 8년 이상 (마케팅/캠페인, CX, 가격 책정/Pricing 관련 경력 우대) 대규모 서비스/프로덕트 출시 경험 및 실적을 보유하신 분 전형절차 • 서류전형 - 1차 면접 - 2차 면접 - 최종 합격 • 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. • 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고사항 • 본 공고는 모집 완료 시 조기 마감될 수 있습니다. • 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. • 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. • 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. • 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. • 고용형태는 정규직으로 수습기간 12주를 포함합니다. 단, 업무상 필요한 경우에는 상기 수습기간을 적용하지 않거나 단축 또는 연장할 수 있습니다. 개인정보 처리방침 • 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy 서류반환정책 1. 본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다. 2. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 3. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제3호 서식]를 작성하여 이메일 (recruitingops@coupang.com) 로 제출하면, 제출이 확인된 날로부터 14일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 4. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 5. 단, 위1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다.

About Coupang We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview Join our Internal Audit team to drive the future of audit automation and data analytics. In this role, you will collaborate with seasoned audit professionals and data leaders to build cutting-edge automation tools, streamline SOX testing, and unlock strategic insights across IT and Operational audit portfolios. If you are passionate about transforming processes through AI, advanced analytics, and smart automation, this is your opportunity to make a high-visibility impact. What You Will Do Implement a world class audit automation and data analytic program for Internal Audit through its maturity stages Develop automation solutions within our SOX testing program, unlocking efficiencies in our testing Promote use of advanced analytics and automation methods and techniques across all audit portfolios through direct assistance of Operational, IT, and SOX audits Develop and implement AI-driven solutions using available tools, supporting our audit teams and audit operations Analyze complex data, identify anomalies, and provide useable insight to internal and external customers Basic Qualifications 4+ years of relevant experience using business intelligence tools and databases, applying advanced analytics and data reporting techniques Proven track record in delivering solutions through application of data analytics, scripting and programming skills (Python, SQL, C++) as well as any relevant tools Knowledge of RPA tools such as Power Automate, Automation Anywhere, Blue Prism, or others strongly preferred A bachelor's or advanced degree in Computer Science, Engineering, Finance, Accounting, Economic, Auditing areas, or related fields from an accredited institution Must be Intermediate in English and Korean language (speak, read, write). Preferred Qualifications Strong project management skills Strong written and verbal communication skills Advanced English speaking and writing Proficiency in designing and implementing AI solutions using advanced techniques Basic knowledge about prompt, context engineering Big 4 Accounting Firm or similar consulting experience Recruitment Process and Others Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

회사 소개 쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 직무 소개 Coupang Financial is looking for a Senior Product Manager to work on financial products that help Coupang sellers improve their cash flow and grow their businesses. In this role, you will: Deeply understand how Coupang sellers manage their finances, including the cash-flow challenges and operational constraints they face. Own specific product initiatives end to end, from concept and problem definition through development and launch, and own the results after launch. Work closely with engineering, product design, data science, and operations teams to ship and iterate viable solutions that delight sellers. Partner with finance, accounting, risk, legal, and compliance teams to ensure solutions are scalable, operationally viable, and compliant. Use seller feedback, product data, and experimentation to identify opportunities, make product decisions, and improve results. Clearly communicate product requirements, trade-offs, progress, and results to stakeholders. 자격 요건 A track record of owning and delivering impactful products or features, from concept through launch and post-launch iteration. Strong customer empathy and the ability to identify underlying customer problems through research, data, and direct engagement. Strong analytical and problem-solving skills. Clear and concise written and verbal communication. Fluency in both Korean and English. 우대 사항 Experience in fintech, payments, lending, financial services, or marketplace products. Familiarity with settlement, working capital, credit, risk, or financial account products. Experience working with legal, compliance, finance, accounting, or risk teams. 전형 절차 및 안내 사항 전형 절차 서류전형 - 직무 적합성 인터뷰 - 핵심 역량 인터뷰 – 최종 합격 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고 사항 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy/ 서류 반환 정책 본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 ( recruitingops@coupang.com ) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다.

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview The Global Operations Tech (GOT) organization is responsible for the systems that enable Coupang to reliably deliver to customers within hours of orders being placed. GOT is on a mission to innovate logistics by building an efficient delivery network at breakthrough scale and speeds. As a Senior Staff Backend Engineer in GOT, you will leverage advanced algorithms to improve Coupang’s customer experience by ensuring ultra-fast deliveries are on time even during the busiest times of the year. We are looking for a Scientist that can drive the direction of technology across multiple teams, leverage deep industry knowledge and use statistical and machine learning techniques to bring value to customers. The ideal candidates are pragmatic, resourceful, and embrace challenges that are seemingly impossible. The ideal candidates also have rich industry experience and a track record of delivering highly impactful projects. What You Will Do Lead and drive architecture design of Fulfillment Technologies for scale, future extensibility, and reliability Envision and drive alignment with stakeholders of the appropriate roadmap and future direction of technology for Global Operations Technology org. Navigate and alleviate technical obstacles and blockers at the organizational level Decompose complex problems into simple, straightforward solutions, providing mechanisms for the teams to prioritize ruthlessly and “move with urgency.” Write code when necessary to lead by example and help with high-priority projects Proactively identify opportunities in both business and technology Review, advise, and carry out the adoption of new technology (both open-source and commercial) that are useful in achieving business objectives Recruit and develop world-class engineering talent Drive development of automation and robotics initiatives Basic Qualifications 15+ years of experience in developing and operating backend services and web applications Solid track record of delivering large and complex systems with significant business impact Experience of designing and developing large-scale distributed systems and architectures Broad and deep understanding of key technologies in storage, data processing, and serving Capable of object-oriented design and development Strong familiarity developing with Java and the Spring Framework Service development and operational experience in an AWS environment Experience driving improvements in code quality Recruitment Process and Others Recruitment Process Application Review - 1st Interview - 2nd Interview - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

About us Coupang Eats is creating new experiences that make everyday life more convenient for customers by expanding its services beyond food delivery into grocery and retail shopping. Driven by a constant commitment to delivering a better customer experience, we continue to challenge ourselves and lead innovation across new services and categories. Coupang Eats empowers employees who create opportunities and deliver results by giving them greater roles and responsibilities. Here, you can turn your ideas into action, create even greater opportunities through your achievements, and experience the fulfillment of directly driving business growth. If you want to grow alongside experts in their respective fields and take on even greater challenges together, join Coupang Eats today. About the Role Coupang Eats is looking for a Data Scientist who can go beyond analysis and build systems that directly influence business decisions at scale. In this role, you will work on complex, real-world problems across marketplace operations, with huge amount of data having a lot of complexity. You will be expected to turn these challenges into structured solutions by combining analytical thinking, modeling, and production-ready implementations. Why This Role This is a hands-on role with strong ownership — from framing problems to deploying solutions that drive measurable impact. You will work across Coupang Eats’ Korea and Japan markets, solving similar classes of problems under different data conditions and operational environments, and scaling solutions across regions. The role leans heavily toward building scalable modeling and automation systems (~70%), with a smaller portion focused on analytical exploration and insights (~30%). Direct impact on a fast-growing, highly competitive marketplace Opportunities to work on large-scale, complex, real-world data problems High ownership and ability to see your work used in production and direct interaction with leadership team in Coupang Eats. What You Will Work On You will work on problems where simple analysis is not sufficient, requiring scalable systems and automated decision logic. Platform Coverage Developing image recognition to help our restaurant onboard to Coupang Eats quickly developing AI solutions to generate marketing targeting segments and even banners, creatives Data Automation at Scale Replace manual processes with automated pipelines Build systems that generate reliable datasets used for business decisions Improve data quality and coverage with minimal manual intervention These systems directly power downstream decisions such as pricing, selection, and marketplace strategy Operational & Optimization Problems Work on problems such as delivery efficiency, ETA accuracy, and marketplace balance Translate operational challenges into data-driven solutions that can be deployed and iterated on Focus on improving not just model performance, but real-world outcomes What You Will Do Break down ambiguous business problems into structured, solvable components Design and implement scalable solutions combining data processing, modeling, and system logic Own the full lifecycle: problem definition → solution design → deployment → iteration Build production-ready code and collaborate closely with engineers Partner with stakeholders to ensure solutions are aligned with business goals What We Are Looking For Problem Solving & Ownership Strong ability to work through open-ended problems by analysing business requirements and applying AI/ML techniques Comfortable making decisions based on data and imperfect information Track record of delivering practical solutions with measurable impact Technical Strength Proficiency in Python or SQL + vibe-coding and harness engineering. Experience working with large-scale data and building reliable data, AI workflows, AI agents. Familiarity with modeling, algorithms, or optimization techniques Ability to write clean, maintainable, and production-quality code Ways of Working Focus on building solutions that scale rather than one-off analyses Strong learning agility — able to pick up new tools or approaches quickly Pragmatic mindset: choose the right approach for the problem, not just the most complex one English proficiency preferred Recruitment Process and Others: Recruitment Process Application Review - 1st Interview - Virtual Onsite Interviews - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Things to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “ Company ”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company by email (recruitingops@coupang.com) In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview The Search and Discovery team is responsible for creating a world class search and discovery shopping experience for our customers, from “intent” based shopping to delighting the customer with serendipitous product discovery on every visit. We are obsessed with optimizing the entire search customer journey, from query understanding and search relevance to personalized and category/mission aware search and recommendation experiences. We believe the experience of finding the right fresh groceries should be personal and different from shopping for a new laptop or your next pair of jeans. Search and Recommendations drive over 70% of product discovery for our millions of daily customers, so the scale and impact of our work is massive! As a Senior Staff Data Scientist, you will leverage data, experimentation, and analytics to understand customer behavior and drive improvements across search relevance, recommendations, and discovery experiences. You will partner closely with cross-functional teams to identify opportunities, measure impact, and help optimize the search journey for millions of Coupang customers. Key Responsibilities Own the Data Science function within a core pillar of Search and Discovery org Analyze how customers interact with Coupang’s search results to determine how to improve customer experience and business performance Lead experiment ideation, design, measurement, and interpretation Build datasets to increase the speed and accuracy with which the team analyzes data Understand the nuances of ML ranking models, LLMs, and more to determine how our core search product can be optimized Basic Qualifications 10+ years experience as a data scientist/analyst in customer-facing technology companies Expertise in experimentation and statistics Strong coding skills, including SQL and R/Python Experience with massive datasets, with an understanding of how to optimize data extraction Ability to communicate data concepts simply and succinctly to cross-functional team members, up to the C-suite Understanding of ML concepts, and how different model configurations affect model outcomes English fluency Preferred Qualifications Experience in e-commerce and/or search Mandarin fluency Recruitment Process and Others Recruitment Process Application Review - Job Fit Interview - Focus Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. (Recruiter Note: add in the case of full-time regulars) This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. (Recruiter Note: add if probation period is applicable, for example in the case of contract position of 3 months or longer) This is a contract position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email ( recruitingops@coupang.com ) . In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview Director-level Security Architect with a proven track record of delivering battle-tested Zero Trust Platform Security solutions at scale What You Will Do Secure Kubernetes environment Secure Istio Service Mesh environment Secure East West traffic Secure North South traffic Secure Microservices Oriented Architecture Secure Containerized Workloads Protect against machine-speed attack Basic Qualifications Degree in Information Security, Computer Science or related field Code security review Security Architecture review Lead security architecture and source code reviews to verify the secure and consistent propagation of authentication and authorization context across APIs and service interactions throughout end-to-end application workflows. Using AI/LLM to automate security process and activity Preferred Qualifications Deep expertise in Network Segmentation and Microsegmentation Layer 7 Service Mesh Enforcement using Envoy sidecars Kubernetes NetworkPolicy with eBPF CNI technologies Enforce pod-level security standards with Pod Security Admission Apply workload securityContext with Kyverno policies Recruitment Process Application Review - Job Fit Interview - Focus Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. (Recruiter Note: add in the case of full-time regulars) This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. (Recruiter Note: add if probation period is applicable, for example in the case of contract position of 3 months or longer) This is a contract position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy Document Return Policy (This notice MUST be included in a job posting in Korea only to comply with the Fair Hiring Procedure Act.) This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email ( recruitingops@coupang.com ) . In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing ecommerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Job Overview We are looking for an Mobile Security Specialist to establish and lead mobile security across the company, covering consumer-facing applications as well as seller, rider and logistics mobile products. This will initially be a highly hands-on senior IC role. The person will be expected to understand the mobile threat landscape, identify systemic risks, build scalable security processes, and influence senior engineering leaders to improve the security posture of mobile applications across multiple organizations. Key Responsibilities Mobile Threat Landscape and Strategy Build and maintain a comprehensive view of mobile threats, attack paths and systemic control gaps across the company's mobile estate. Define the target mobile security posture, priorities and longer-term roadmap. Track relevant changes in iOS, Android and mobile exploitation techniques and translate them into concrete security requirements. Security Architecture and Standards Define practical security standards for iOS and Android, including application integrity, device trust, authentication, credential protection, local data, WebViews, deep links and third-party SDKs. Identify recurring weaknesses across applications and drive platform-level solutions rather than repeated app-specific fixes. Provide senior technical judgement on complex vulnerabilities, incidents and architectural decisions. Security Assessment and Review Program Build a repeatable, evidence-based process for assessing mobile application security. Own and run the mobile security review program, including methodology, prioritization, acceptance criteria and escalation. Improve the program over time through automation, engineering self-service and better measurement of security coverage and residual risk. Cross-Organization Influence Act as an agent of change for mobile security across engineering teams. Work directly with Senior Directors, Principal Engineers and senior mobile leaders to influence architecture, engineering practices and investment priorities. Drive security improvements across organizational boundaries without relying on formal authority. Function Building and Leadership Start as a deeply hands-on technical leader, working directly with applications, code, devices and security controls where required. Establish the operating model for mobile security and identify where additional specialist capability is needed. Over time, help build and manage a small specialist mobile security team. Qualifications Deep hands-on mobile security expertise across both iOS and Android, ideally developed in a large-scale consumer technology environment. Strong practical experience in areas such as mobile application security, reverse engineering, app integrity, device trust, authentication, secure storage, IPC, WebViews, deep links, networking and abuse resistance. Experience building or running a mobile security assessment or review program, rather than only performing individual reviews. Strong software engineering background, ideally including production mobile development or development of mobile security tooling. Demonstrated ability to identify systemic issues across multiple applications and translate them into reusable platform controls, standards or engineering frameworks. Proven experience influencing senior engineers and engineering leaders across organizational boundaries. Experience with product security architecture and threat modelling at significant scale. Evidence of driving changes in engineering practice, not only identifying security issues. Prior people management is useful but not required. Strong technical leadership and the ability to grow into management are more important for the initial phase of the role. Recruitment Process and Others Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview and What You Will Do As a Technical Program Manager, you will work closely with members of multiple business & Engineering teams to help define, streamline, design and analysis data to build business requirements and then work with engineering teams to articulate requirements, further perform functional & technical data & system analysis, drive engineering to implementation via all phases of Software Development Lifecycle (SDLC). In addition, the ideal candidate must possess a high degree of collaborative skills, and the ability to communicate effectively on many levels. Responsibilities Strong functional & technical analytical & design capability to understand Common & shared platforms, web, & services API with underlying data. Should be able to dive deep to come up with new Platform scenarios that help solving systems bigger problems by simplifying our services & cloud platform and help increase productivity & efficiency or every Engineer & system in the company. Solid Platform, Web services, API technologies experience. Strong blend of technical, business, and program management experience that enables seamless communication across teams, project execution and great customer reach. Own, manage and deliver multiple large scale, complex programs across organizations with ease of simplicity, taking teams along to the path of success. Own and Manage implementation E2E from Project charter, roadmap, plan, design, design, build, execute, deliver and monitor performance & adoption. Creates, evolves, and communicates specifications for feature areas that enable cohesive, compatible, iterable scenarios that span multiple feature teams and enable a durable multi-year vision. Should be able to come up with scenarios and business requirements by analyzing data and business needs. Excellent cross-group collaboration and communication skills Strong problem-solving skills, analytical capabilities, and attention to detail Strong cultural change management experience Identify, Propose and Implement ongoing data strategy and drive data quality improvements Establishes, enables and improves systems to manage product feedback from customers to resolve issues. Who we are looking for (Basic Qualifications) Minimum of 12 Years of Engineering Program Management experience in managing feature teams and designing large-scale or complex technical initiatives on shared Platform for Web & Web services, API, Data analytics Minimum of 5 Years in Platform, Web design, API that are used by internal & external teams. Flexible, agile and fast learner. Preferred Bachelor’s degree or equivalent work experience required Outstanding verbal and written communication Excellent cross-group collaboration and communication skills Demonstrated virtual team leadership capabilities Knowledge or experience agile development methodologies (i.e. Scrum). Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/

Job Description – Sr. Director, TestOps Coupang operates a large distributed technology ecosystem where changes must be validated quickly, safely, and repeatedly across infrastructure and application boundaries. We are seeking a Director, TestOps to build and lead testing as a platform capability. This leader will own test automation, test environments and data, integration testing, resilience validation, quality signals, and AI-assisted testing. The mission is to move testing from a manual phase owned independently by teams into an automated, federated, and measurable platform that enables safe continuous delivery. We are looking for a visionary quality-platform leader who has previously built and scaled comparable TestOps, test infrastructure, or continuous-quality systems in a leading global technology company. Key Responsibilities Set a bold vision for testing as a company-wide platform capability and translate that vision into an executable roadmap adopted across infrastructure and domain organizations. Define and execute the TestOps strategy across Tech Infrastructure and partner engineering organizations. Build a federated testing platform that supports infrastructure, platform, API, UI, integration, resilience, and release validation. Create repeatable test capabilities for Unified Staging and production-like environments. Partner with Developer Platform, SRE, Observability, Security, and domain teams to embed quality gates into delivery workflows. Own testing metrics including coverage, pass rate, escaped defects, flaky tests, execution time, environment readiness, and release confidence. Drive adoption through product management, customer enablement, documentation, office hours, and clear service-level objectives. Test Platform & Automation Build self-service test planning, execution, orchestration, reporting, and evidence-management capabilities. Automate UI, API, service integration, infrastructure integration, and end-to-end test execution. Provide reusable test harnesses, reference applications, simulators, mocks, and service-virtualization capabilities. Integrate TestOps with CI/CD, Global CD, Application Registry, observability, and release governance. Create quality gates that are risk-aware, fast, deterministic, and appropriate to service tiers. Reduce flaky tests, duplicated frameworks, manual validation, and fragmented tooling. Unified Staging, Test Data & Resilience Validation Use Unified Staging as the default environment for validating Tech Infrastructure components and domain applications. Build compliant, desensitized, production-like test data generation and lifecycle management. Enable integration testing across identity, mesh, networking, databases, queues, storage, observability, and application dependencies. Partner with SRE to automate fault injection, DR scenarios, failover validation, load testing, and reliability certification. Ensure validation evidence can feed release decisions, RBD/RBO certification, and executive reliability metrics. AI-Assisted Testing Build AI-assisted capabilities for feature test-plan generation, test-case generation, test-data generation, execution, failure analysis, and defect triage. Establish evaluation, safety, and quality mechanisms for AI-generated tests and recommendations. Use production telemetry and incident learnings to continuously improve test coverage and prioritize high-risk scenarios. Automate quality insights and next-best-action recommendations for engineers and release owners. Talent Leadership & Organization Lead managers, technical leads, and senior engineers across test platform, automation, and quality engineering. Own organization design, hiring, leadership development, and succession planning. Build a strong engineering culture focused on platform products rather than manual test execution. Develop leaders who can independently own federation, test infrastructure, AI TestOps, and resilience validation. Attract engineers with deep test infrastructure, distributed systems, developer tooling, and automation expertise. Technical Leadership & Architecture Own architecture for test orchestration, environment integration, test data, result storage, quality signals, and release gating. Define company standards for test APIs, frameworks, evidence, coverage, flakiness, and service-tier validation. Influence platform architecture to improve testability, observability, fault isolation, and safe deployment. Align test strategy with the broader observability and AIOps architecture so pre-release and post-release quality signals reinforce one another. Execution & Impact Deliver measurable reductions in manual testing, execution time, escaped defects, flaky tests, and release-related incidents. Increase automated integration and resilience validation across Tier 0, Tier 1, and Tech Infrastructure services. Improve release confidence and developer productivity through reliable self-service testing. Establish strong execution mechanisms, customer feedback loops, and objective quarterly targets. Essential Qualifications Leadership experience in a best-in-class test infrastructure, developer productivity, continuous delivery, or reliability engineering organization at hyperscaler, global consumer platform, or similarly scaled technology company. Experience with Kubernetes, cloud-native testing, service mesh, fault injection, or chaos engineering. Experience building AI-assisted test generation or failure-analysis systems. Experience with load testing, DR validation, release certification, or production-readiness programs. 12+ years of experience in software engineering, test infrastructure, developer productivity, quality engineering, or platform engineering. 5+ years leading engineering teams and managers in a large-scale technology environment. Recognized as a strong technology and organizational leader with the ability to define a differentiated quality engineering vision, attract exceptional talent, and influence senior stakeholders. Demonstrated experience personally leading the architecture, build-out, launch, and scaled adoption of a TestOps, test infrastructure, continuous-quality, or release-validation platform. Experience building test automation or testing platforms for distributed systems and continuous delivery. Deep understanding of CI/CD, test environments, test data, integration testing, reliability testing, and quality metrics. Experience driving cross-organizational adoption of common platforms and standards. Strong technical judgment, customer focus, and ability to translate strategy into measurable delivery.

Sr. Director, Site Reliability Engineering Coupang operates one of the largest and most complex technology platforms in the world. We are seeking a Senior Director, Site Reliability Engineering (Head of SRE) to define and lead company-wide reliability, resilience, scalability, and operational excellence. This leader will transform reliability from a collection of team-specific practices into platform mechanisms that services inherit by tier, while advancing incident response toward an intelligent, AI-assisted, and increasingly autonomous operating model. We are looking for a visionary, industry-recognized technology leader who has previously conceived, built, and scaled a comparable SRE, production engineering, resilience, or autonomous-operations organization at a leading global technology company. The successful candidate must combine deep technical credibility with the organizational leadership required to align executives, influence architecture across the company, and build a world-class leadership bench. Key Responsibilities Set a bold, multi-year vision for company-wide reliability, resilience, and autonomous operations, and translate that vision into an executable roadmap with measurable business outcomes. Define and own the SRE strategy, operating model, engineering standards, and reliability governance across Coupang. Build platform mechanisms that allow services to inherit reliability requirements based on service tier rather than recreate them independently. Lead initiatives that materially improve availability, resilience, scalability, performance, and operational readiness. Partner with engineering, product, infrastructure, security, finance, and business leaders to align reliability investments with customer and business priorities. Own executive reliability metrics, including availability, detection and recovery performance, change risk, incident recurrence, capacity readiness, and operational toil. Build and scale a world-class SRE organization capable of influencing engineering practices across the company. Reliability Strategy, SLOs & Engineering Governance Establish and evolve service-tier definitions, SLOs, SLAs, error budgets, reliability scorecards, and objective certification mechanisms such as RBD/RBO. Create clear reliability requirements for Tier 0, Tier 1, and Tier 2 services, including redundancy, load testing, disaster recovery, observability, and incident response. Ensure reliability governance is embedded in architecture, development, release, and production operations rather than applied as a final review. Drive systematic reduction of recurring incidents, reliability risks, operational debt, and unsafe change patterns. Influence company-wide architecture for graceful degradation, fault isolation, load shedding, circuit breaking, and failure containment. Incident Management & Autonomous Operations Transform incident management into a fast, disciplined, data-driven, and increasingly autonomous operating model. Enable AI-assisted detection, event correlation, triage, escalation, root-cause drafting, remediation recommendations, and selected guardrailed auto-remediation. Improve incident command, on-call quality, escalation mechanisms, communication, post-incident learning, and corrective-action completion. Reduce noisy alerts, manual on-call work, repeated diagnosis, and time spent coordinating across fragmented systems. Use incident and telemetry data to continuously improve platform standards, testing, capacity models, and engineering roadmaps. Disaster Recovery, Resilience & Capacity Own the strategy and execution model for disaster recovery, regional resilience, availability-zone loss, capacity-constrained recovery, and critical business continuity. Build reusable DR and failover mechanisms that services inherit from the platform rather than implement as bespoke projects. Establish objective RPO/RTO targets, automated readiness gates, regular game days, fault injection, and evidence-based recovery certification. Drive proactive and intelligent capacity management using forecasting, reservations, workload prioritization, and automated response to demand and failure scenarios. Partner with compute, traffic, networking, storage, and application leaders to enable safe zone evacuation, regional failover, and surge readiness. Observability, Testing & Reliability Intelligence Partner with Observability and TestOps leaders to integrate logs, metrics, traces, continuous profiling, testing, and incident intelligence into one reliability feedback loop. Ensure every critical service has actionable telemetry, meaningful SLOs, release-quality signals, and production-readiness evidence. Use production incidents and operational patterns to drive targeted integration, load, resilience, and regression testing. Establish executive reliability dashboards that provide trusted views of service health, risk, capacity, and operational effectiveness. Talent Leadership & Organization Lead multiple layers of SRE leaders, including senior managers, directors, principal engineers, and senior individual contributors. Own organizational design, global hiring strategy, leadership development, succession planning, and the creation of a strong leadership bench. Attract exceptional SRE, distributed systems, resilience, incident-management, and capacity-engineering talent from best-in-class technology organizations. Build an empowered organization with clear accountability, strong technical judgment, high execution velocity, and a company-wide perspective. Act as a force multiplier by mentoring technical and organizational leaders and raising reliability capabilities across engineering. Technical Leadership & Architecture Own reliability architecture decisions across large-scale distributed systems and cloud-native infrastructure. Define resilient patterns for redundancy, failover, traffic management, data recovery, workload prioritization, and dependency isolation. Guide architecture reviews and platform standards for safe scaling, fault tolerance, and operational simplicity. Balance availability, customer impact, engineering velocity, cost, and operational complexity in major technical decisions. Maintain sufficient technical depth to challenge assumptions, guide principal engineers, and make high-quality decisions during critical incidents. Execution & Impact Deliver measurable improvements in availability, time to detect, time to mitigate, time to recover, incident recurrence, change-failure rate, and on-call burden. Create disciplined operating rhythms, milestones, ownership models, and quarterly targets for strategic reliability programs. Increase adoption of common reliability mechanisms and reduce team-specific implementations and manual operations. Demonstrate business impact through improved customer experience, reduced outage exposure, stronger peak readiness, and more efficient use of infrastructure capacity. Build credibility through predictable delivery, transparent risk management, and objective evidence of reliability improvement. Essential Qualifications Leadership experience in a best-in-class SRE, production engineering, infrastructure reliability, or cloud operations organization at hyperscaler, major cloud provider, global marketplace, leading fintech, or similarly scaled technology company. Experience building an SRE practice comparable in maturity to leading industry organizations, rather than operating a traditional support or operations function renamed as SRE. Experience with Kubernetes, service mesh, cloud-native platforms, traffic engineering, and large-scale capacity management. Experience with chaos engineering, fault injection, regional resilience, and automated disaster recovery. Experience building AI-assisted operations, incident intelligence, predictive reliability, or self-healing systems. 15+ years of experience in software engineering, infrastructure engineering, distributed systems, or site reliability engineering. 8+ years leading large-scale, multi-layer engineering organizations, including senior managers, directors, and senior individual contributors. Demonstrated experience personally defining the vision and leading the architecture, build-out, launch, and scaled adoption of a company-wide SRE, reliability, resilience, or autonomous-operations program. Prior experience building reliability systems and operating practices for high-scale, high-availability, customer-critical distributed systems. Deep expertise in SLOs, error budgets, observability, incident management, disaster recovery, capacity planning, and resilience engineering. Proven ability to lead through major incidents while also creating durable mechanisms that prevent recurrence. Recognized as a visionary technology and organizational leader who can influence executive stakeholders, align multiple engineering organizations, and attract exceptional talent. Proven ability to convert long-term strategy into measurable execution and company-wide adoption.

회사 소개 쿠팡은 고객 감동 실현을 위해 존재합니다 . 고객들이 " 쿠팡 없이 그동안 어떻게 살았을까 ?" 라고 말할 때 , 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다 . 고객들의 쇼핑과 식사 , 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다 . 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로 , 국내 커머스 업계에서의 독보적인 입지와 , 고객 신뢰를 구축했습니다 . 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다 . 이것이 창립 당시의 기민함을 지하며 , 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다 . 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다 . 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이 , 바로 쿠팡이 일하는 방식의 본질입니다 . 쿠팡에서는 여러분 자신 , 동료 , 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다 . 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다 . 우리는 고객의 문제를 해결해 나가고 , 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다 . 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면 , 지금 바로 쿠팡에 합류하세요 . Coupang Fulfillment Transportation Systems The Fulfillment Transportation Systems Tech organization within Global Operations Technology is responsible for systems that enable Coupang to reliably deliver customer orders within hours of order placement. Transportation Tech is on a mission to transform Last Miles by building an efficient Trans ecosystem that operates at groundbreaking scale and speed. We can drive technology direction, successfully advocate for collaboration with other technology leaders and stakeholders, influence and build trust with teams, and execute complex system delivery with consideration for scalability, future scalability, and reliability. We are looking for an experienced and passionate engineering leader. As the organization in charge of Coupang's Last Miles, we develop solutions and provide products for the systems used by those who directly deliver within Coupang and the managers who manage them. In addition, we provide Admin and Mobile WebView to allocate supplies to Coupang Friends and Coupang Flex workers and manage Coupang Flex's work, meta information, and settlement information. The candidate will be part of the Coupang Delivery Technology team and will be responsible for developing and operating solutions for systems and terminals used by delivery people and managers within Coupang. Key Responsibilities: Sr, Staff front-end engineers are technology leaders and participate in major technology improvement projects. After understanding the overall and details of the Coupang GOT web platform and identifying areas for improvement, we present an architecture-level solution. Additionally, we will create a roadmap with other engineers and implement technological improvements step by step, and smooth communication to align with other developers or organizations will be essential in this process. By collaborating closely with the Product Owner / Designer / Stakeholder, we simplify complex business requirements and complete them into a high-level front-end design to support multiple repeated tests with minimal development costs. There are places that require a variety of front-end developer capabilities, such as pages that require handling and visualization of large amounts of data. We serve as mentors for members within the organization and help them improve their individual capabilities. Skills and Qualifications: 10+ years of experience working in basic algorithms, system design, and large-scale distributed systems. 12+ years of professional coding experience using modern programming languages such as JavaScript, Typescript, etc. Bachelor's degree in Computer Science, Software Engineering, or related field. Strong problem-solving skills and attention to detail Ability to work in an agile development environment and meet tight deadlines. Preferred: Experience working in building complex software systems that have been successfully delivered to customers. Experience communicating with users, other technical teams, and senior management to collect requirements, and describe software product features, technical designs, and product strategy. Experience influencing software engineering best practices within your team Hands-on expertise in many disparate technologies, ranging from front-end user interfaces and all points in between Experience working backward from the customer and delivering innovative, simple solutions 전형 절차 및 안내 사항 전형 절차 서류전형 - 전화면접 - 대면면접 – 최종 합격 전형 절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별안내드립니다. 참고 사항 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 보훈대상자 및 장애인 여부는 채용 과정에서 어떠한 불이익도 미치지 않습니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy/ 서류 반환 정책 본 고지는 『채용절차의 공정화에 관한 법률』 제11조 제6항에 따른 것입니다. 당사 채용에 응시한 구직자 중 최종합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 위 2항 본문에 따라 채용서류 반환 청구를 하는 구직자는 채용서류 반환청구서[채용절차의 공정화에 관한 법률 시행규칙 별지 제3호 서식]를 작성하여 당사 이메일( recruitingops@coupang.com )로 제출하면, 제출이 확인된 날로부터 14일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위 2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다.

The fintech business of Coupang is reimagining financial services for both our consumers and sellers, so they can do more with their money. Coupang Pay focuses on delivering innovative payment and financial services solutions to everyone who uses the Coupang app — from customers buying products on Coupang.com, to marketplace vendors, and restaurants that offer their services via Coupang Eats. We develop solutions with our latest tech innovations to serve the growing needs of Coupang’s customers in Korea and Taiwan. This includes Coupay, an online wallet with a proprietary one-touch payment capability. In particular, we are rapidly scaling the Wow credit card, a co-branded card that offers industry-leading rewards as part of our efforts to maximize customer values. For sellers, we are building out multiple liquidity options to help small and medium sized enterprises grow their business, using BaaS (Banking as a Service) capability. If you want to leverage your extensive experience within the fintech space, join us. We help customers spend less time checking out so they can spend more time shopping for what they love. Key Responsibilities We are seeking a Sr. Staff Back-end Engineer who is both a visionary technical leader and a hands-on builder. This role combines architectural ownership, full-stack development, and distributed systems expertise to deliver payment systems with industry-leading scale, resiliency, and speed. Hands-on Architecture & Development Architect, design, and implement complex, distributed, cloud-native systems spanning frontend, backend, APIs, data pipelines, and infrastructure. Write and review production-grade code; optimize critical paths for performance, reliability, and correctness. Lead by example in code quality, observability, CI/CD, and security. Operate at Scale & Speed Deliver mission-critical features to millions of users with rapid iteration while maintaining high availability and data integrity. Optimize systems for concurrency, throughput, and cost efficiency under heavy global loads. Participate in on-call rotation and drive continuous improvements in reliability and incident prevention. Full-Stack & Distributed Systems Leadership Own large-scale payment microservices, event-driven pipelines, caching systems, and real-time APIs. Guide teams across web/mobile frontends, middleware, and backend services to ensure cohesive and performant experiences. Spearhead adoption of best practices in distributed computing, fault tolerance, and multi-region scaling. Innovation & Emerging Technology Drive adoption of AI/ML technologies—build or integrate AI agents and intelligent automations into payment workflows. Stay ahead of fintech innovation, evaluating and deploying new technologies to improve customer experience and system resilience. Leadership & Mentorship Mentor senior engineers and Sr.Staff-level peers, fostering a culture of innovation, technical rigor, and rapid delivery. Collaborate cross-functionally with product, design, and infrastructure leaders to shape both technical vision and product strategy. Basic Qualifications Bachelor’s degree in Computer Science, Software Engineering, or related field. 15+ years of software engineering experience, with proven success in large-scale distributed systems Deep expertise in full-stack development (Java, Go, Python, JavaScript/TypeScript, or equivalent) and core payment systems. Hands-on architecture and design experience with microservices, event-driven systems, APIs, and real-time data processing. Strong fundamentals in algorithms, data structures, concurrency, and system design. Proven ability to deliver rapidly and reliably in fast-paced, high-growth environments Preferred Qualifications Master’s or PhD in Computer Science or related technical discipline. Payment systems experience at top global fintech companies (e.g., Stripe, PayPal, Razorpay, JusPay, AliPay, Visa, Adyen, Square, Mastercard). Hands-on experience building and deploying AI Agents (GenAI, RAG, workflow automation, LLMs) into production-scale systems. Deep knowledge of distributed microservices, cloud-native architectures (Kubernetes, containerization, serverless), and multi-region scaling. Experience in dealing with and resolving the issues that occur when an organization grows in size and the systems get complicated Publications, patents, or open-source contributions in distributed systems, payments, or AI applications. Fluent English (Korean a plus); strong communication skills with global stakeholders. Why Coupang Pay? Shape the future of digital payments in one of the world’s fastest-growing e-commerce ecosystems. Own mission-critical systems serving millions of customers at global scale. Work in an inclusive, high-impact culture that values innovation, speed, and craftsmanship. Competitive compensation, equity, benefits, and continuous learning opportunities. Recruitment Process and Others: Recruitment Process Application Review - 1st Interview - Virtual Onsite Interviews - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Things to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “ Company ”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company by email (recruitingops@coupang.com) In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview The Coupang Intelligent Cloud (CIC) organization is building the next-generation cloud platform that powers Coupang's rapidly expanding business. CIC provides the foundational infrastructure, cloud services, platform capabilities, and operational excellence that enable engineering teams across the company to innovate at scale. As a Senior Staff Technical Program Manager, you will drive large-scale, cross-functional initiatives spanning cloud infrastructure, compute, networking, storage, AI infrastructure, platform services, operational excellence, reliability, capacity management, and cloud business growth. You will partner closely with engineering leaders, principal engineers, product leaders, finance, security, and operations teams to define strategy, build execution plans, and deliver business-critical outcomes. This role requires a unique combination of technical depth, organizational leadership, operational rigor, and strategic thinking. You will lead complex programs that influence the direction of CIC, establish scalable operating mechanisms, and ensure alignment across multiple organizations. You will serve as a trusted advisor to senior leadership while driving execution with urgency and accountability. The ideal candidate can speak the language of engineers, understand large-scale distributed systems and cloud infrastructure, influence without authority, and navigate ambiguity while delivering measurable results. What You Will Do Lead strategic, organization-wide programs across cloud infrastructure, platform services, AI infrastructure, reliability, security, and operational excellence. Define program strategies, success metrics, execution frameworks, and operating mechanisms that scale across the CIC organization. Drive end-to-end program ownership from vision, planning, and roadmap development through execution and operationalization. Partner with engineering leaders and principal engineers to prioritize investments, manage dependencies, and accelerate delivery of critical initiatives. Drive large-scale platform transformations involving architecture modernization, reliability improvements, automation, and operational efficiency. Establish governance mechanisms, executive reviews, risk management processes, and business reporting frameworks. Identify organizational bottlenecks, process inefficiencies, and system gaps, and implement scalable solutions to improve execution. Lead initiatives involving infrastructure scalability, cloud adoption, capacity planning, service availability, and operational readiness. Analyze complex technical and business data to drive prioritization, decision-making, and resource allocation. Define and track organizational KPIs, operational health metrics, reliability goals, and business outcomes. Build strong partnerships across engineering, product, security, finance, procurement, and business teams to achieve company objectives. Drive executive-level communications, presenting program status, risks, tradeoffs, and recommendations to senior leadership. Establish and continuously improve operational excellence practices across engineering teams. Mentor TPMs and contribute to the growth of program management excellence within CIC. Basic Qualifications 12+ years of experience leading large-scale technical programs in cloud infrastructure, distributed systems, enterprise platforms, or related technology domains. Proven experience driving organization-level initiatives across multiple engineering teams and stakeholders. Strong understanding of cloud infrastructure, distributed systems, networking, storage, compute platforms, and modern software development practices. Experience managing highly complex cross-functional programs with significant technical and business impact. Demonstrated ability to define strategy and translate ambiguous business objectives into executable plans. Experience driving programs across the full software development lifecycle, from concept through deployment and operational support. Strong analytical skills with the ability to leverage metrics and data to influence decisions and measure outcomes. Experience identifying root causes, managing risks, and solving complex organizational and technical challenges. Exceptional communication and executive presentation skills. Proven ability to influence senior leaders and drive alignment across organizations without direct authority. Demonstrated leadership in fast-paced, high-growth environments. BA/BS degree in Computer Science, Engineering, Information Systems, or related discipline, or equivalent practical experience. Preferred Qualifications Experience working in hyperscale cloud, infrastructure, platform engineering, AI infrastructure, or large-scale distributed systems environments. Strong technical understanding of Kubernetes, container orchestration, cloud-native architectures, and infrastructure automation. Experience managing cloud infrastructure programs involving compute, networking, storage, observability, security, or AI/ML platforms. Experience driving reliability, availability, scalability, and operational excellence initiatives for mission-critical services. Familiarity with capacity planning, infrastructure lifecycle management, and cloud business operations. Experience partnering with Principal Engineers and senior technical leaders to drive architecture and platform transformation initiatives. Experience defining and implementing executive operating mechanisms and organizational governance models. MBA or advanced degree in Engineering, Computer Science, or a related field. Experience operating within hyper-growth technology organizations. Experience building and mentoring high-performing TPM teams. Why This Role Matters As a Senior Staff TPM in CIC, you will directly influence the future of Coupang's cloud platform. You will help define how infrastructure, platform services, AI capabilities, and operational excellence scale to support the company's next phase of growth. This is a highly visible leadership role with significant impact across engineering and business organizations, offering the opportunity to shape the strategy and execution of one of the most critical technology platforms within Coupang. Recruitment Process and Others Recruitment Process Application Review - Job Fit Interview - Focus Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email ( recruitingops@coupang.com ) . In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

English will follow Korean text 회사 소개 쿠팡페이의 핀테크 사업은 금융 서비스의 재정의를 통해 쿠팡 고객과 판매자들이 동일한 비용으로 더 많은 가치를 누리도록 지원합니다. 쿠팡페이는 쿠팡 앱 및 홈페이지에서 상품을 구매하는 소비자와 쿠팡 마켓플레이스에서 사업을 영위하는 판매자, 쿠팡이츠에 입점한 음식점주 등에게 혁신적인 결제 및 금융 솔루션을 제공하는 데 최선을 다합니다. 쿠팡페이의 최신 핀테크 혁신 기술은 원터치 결제 서비스가 탑재된 자체 결제 시스템 쿠페이를 기반으로 한국과 대만 소비자들의 니즈에 부응하고 있습니다. 대표적으로 쿠팡페이는 고객 가치 지향 차원에서 업계 최고 수준의 리워드를 제공하는 쿠팡와우카드(쿠팡 전용 제휴 카드)를 빠르게 확장시키고 있습니다. 또 마켓플레이스 판매자들을 위해 BaaS (Banking as a Service) 모델을 접목하고 다양한 유동성 강화 솔루션을 제공함으로써 소상공인들의 사업 성장을 적극 지원합니다. 보유하고 계신 다양한 경험을 핀테크 분야에서 최대한 살리고 싶다면 쿠팡페이와 함께 하세요. 쿠팡페이는 고객들의 결제 시간을 최대한 아껴주고 좋아하는 것을 마음껏 쇼핑할 시간을 벌어드립니다. 직무 소개 쿠팡페이는 쿠팡을 온라인 결제가 가장 편리한 플랫폼으로 만드는 것을 목표로 합니다. Product Engineering 팀의 Staff, Back-end Engineer로서, 단순한 기능 개발을 넘어 결제 핵심 도메인의 기술적 방향성을 정의하고, 대규모 트래픽을 처리하는 안정적인 핀테크 시스템을 설계·고도화하는 역할을 담당합니다. 국내 최초 원터치 결제 시스템인 “쿠페이”를 포함한 결제 핵심 서비스의 기술적 오너로서, 시스템의 안정성, 확장성, 보안, 성능 전반에 대해 책임을 집니다. 수천만 고객이 사용하는 결제 서비스를 더 빠르고 안전하게 만들기 위해 복잡한 기술적 문제를 정의하고, 근본적인 해결책을 설계 및 구현합니다. 또한 회계팀, 자금팀, Fintech 개발팀 등 다양한 유관 부서와 긴밀히 협업하며, 결제 백오피스 및 정산·대사 시스템의 아키텍처를 주도적으로 설계하고 운영 안정성을 개선합니다. 코드 리뷰, 설계 리뷰, 기술 가이드 제공을 통해 팀과 조직 전반의 기술 수준을 끌어올리는 핵심 기여자 역할을 수행합니다. 자격 요건 Backend 개발 경력 10년 이상을 보유하신 분 Java/Kotlin, Spring Framework 기반의 대규모 분산 시스템을 설계하고 운영한 경험을 보유하신 분 하나 이상의 복잡한 서비스 또는 도메인에 대해 기술적 오너십을 가지고 주도적으로 개선한 경험을 보유하신 분 성능, 안정성, 데이터 정합성, 보안을 고려한 시스템 설계 역량을 보유하신 분 모호한 문제를 구조화하고, 기술적 판단을 통해 실제 비즈니스 임팩트를 만들어낸 경험을 보유하신 분 고객 경험과 비즈니스 요구를 이해하고, 이를 기술적으로 풀어내는 데 높은 흥미와 책임감을 보유하신 분 우대 사항 JPA, MSA 환경에서의 아키텍처 설계 및 마이그레이션 리딩 경험을 보유하신 분 Payment / Fintech 도메인에서의 개발 및 운영 경험을 보유하신 분 대규모 트래픽 환경에서의 장애 대응, 모니터링, SLA 개선 경험을 보유하신 분 정산·대사 등 대용량 데이터 처리 및 정합성 보장 경험을 보유하신 분 애자일 소프트웨어 방법론 환경에서 기술적 리더십을 발휘한 경험을 보유하신 분 기술적 판단과 설계를 통해 조직 내 다른 엔지니어들에게 영향력을 행사한 경험을 보유하신 분 전형 절차 및 안내 사항 전형절차 서류전형 - 1차 면접 - 2차 면접 - 최종 합격 전형절차는 직무별로 다르게 운영될 수 있으며 , 일정 및 상황에 따라 변동 될 수 있습니다 . 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고사항 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다 . 고용형태는 정규직으로 수습기간 12 주를 포함 합니다 . 단, 업무상 필요한 경우에는 상기 수습기간을 적용하지 않거나 단축 또는 연장할 수 있습니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy/ 서류반환정책 본 고지는 『 채용절차의공정화에관한법률 』 제11조제6항에 따른 것 입니다 . 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 (recruitingops@coupangpay.com) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다. Company Introduction The fintech business of Coupang is reimagining financial services for both our consumers and sellers, so they can do more with their money. Coupang Pay focuses on delivering innovative payment and financial services solutions to everyone who uses the Coupang app — from customers buying products on Coupang.com, to marketplace vendors, and restaurants that offer their services via Coupang Eats. We develop solutions with our latest tech innovations to serve the growing needs of Coupang’s customers in Korea and Taiwan. This includes Coupay, an online wallet with a proprietary one-touch payment capability. In particular, we are rapidly scaling the Wow credit card, a co-branded card that offers industry-leading rewards as part of our efforts to maximize customer values. For sellers, we are building out multiple liquidity options to help small and medium sized enterprises grow their business, using BaaS (Banking as a Service) capability. If you want to leverage your extensive experience within the fintech space, join us. We help customers spend less time checking out so they can spend more time shopping for what they love. Role Overview Coupang Pay aims to make Coupang the most convenient online payment platform. As a Staff Backend Engineer on the Product Engineering team, you will go beyond feature development to define the technical direction of core payment domains and design and evolve highly reliable fintech systems that handle large-scale traffic. As the technical owner of core payment services—including Coupay, Korea’s first one-touch payment system—you will be responsible for system stability, scalability, security, and performance end to end. You will identify complex technical challenges and design and implement fundamental solutions to make payment services used by tens of millions of customers faster and safer. You will also work closely with cross-functional partners such as Accounting, Treasury, and other Fintech engineering teams to lead the architecture of payment back-office systems, as well as settlement and reconciliation platforms, while improving operational stability. In addition, you will act as a key contributor in elevating the technical bar across the organization through code review, design review, and technical guidance. Basic Qualifications 10+ years of backend engineering experience Ability to design and operate large-scale distributed systems based on Java/Kotlin and the Spring Framework Experience owning and proactively driving improvements for one or more complex services or domains with strong ownership Ability to design systems with strong consideration for performance, reliability, data consistency, and security Experience structuring ambiguous problems and making technical decisions that resulted in tangible business impact Ability to understand customer experience and business requirements and translate them into well-architected technical solutions with a high level of ownership Preferred Qualifications Experience leading architecture design and migration in JPA- and MSA-based environments Experience in development and operations within the Payment / Fintech domain Experience responding to incidents, building monitoring systems, and improving SLAs in high-traffic environments Experience handling large-scale data processing with strong guarantees around settlement and reconciliation accuracy Experience demonstrating technical leadership in agile software development environments Experience influencing other engineers through sound technical judgment and system design decisions Recruitment Process and Others Recruitment Process Application Review - 1st Interview - 2nd Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled . Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupangpay.com ) . In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Korean text follows English Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview The Global Operations Tech (GOT) organization is responsible for the systems that enable Coupang to reliably deliver to customers within hours of orders being placed. GOT is on a mission to innovate logistics by building an efficient delivery network at breakthrough scale and speeds. As a Staff Backend Engineer in GOT, you will leverage advanced algorithms to improve Coupang’s customer experience by ensuring ultra-fast deliveries are on time even during the busiest times of the year. What You Will Do Design and develop system architecture for Global Operations Technology to ensure stable operations. Develop front/back office web services based on the Java platform. Identify dependencies across multiple domains and develop system integrations. Evaluate and adopt new technologies to enable efficient development and operations. Implement optimization algorithms to find the most cost-effective and fastest delivery methods based on rule-based logic. Qualifications Experience developing web applications using Java and Spring Framework. 7+ years of programming experience. 5+ years of hands-on experience in web application development and operations, or equivalent capabilities. Interest in experiencing Coupang’s global-level logistics systems and diverse domains. Passion for developing high-availability systems that handle large-scale traffic in a microservices architecture (MSA) environment. Preferred Qualifications Experience or understanding of microservices architecture-based system development. Experience or understanding of service development and operations in cloud environments. Experience with asynchronous event-driven architecture for large-scale processing. Experience improving code quality through development best practices. Experience with ORM tools such as JPA or Hibernate and domain modeling. Experience developing e-commerce services. Experience with build/test/deployment automation. Experience handling large-scale data using NoSQL technologies (e.g., Memcached, Redis). Recruitment Process and Others Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable. 회사 소개 쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 조직 소개 Global Operations Technology(GOT) 조직은 쿠팡의 배송, 물류 시스템 전체를 총괄하고 혁신을 이끌고 있는 조직으로 주문이 접수된 후 빠르고 정확하게 배송하는 로켓배송 시스템을 담당합니다. GOT 조직에서는 최신 배송, 물류 프로세스를 도입하고 고객에게 빠르고 정확한 서비스를 제공하고, 쿠팡없이 어떻게 살았을까?를 실현하기 위해 시스템을 구축하며, 사용자 관점의 특화된 서비스와 프로세스를 위해 신기술을 적용합니다. 업무 내용 Global Operations Technology 시스템 아키텍처 설계 및 개발을 통해 안정적인 운영 환경 구축 Java 기반 Front/Back Office 웹 서비스 개발 및 운영 다양한 도메인 간 의존성 정의 및 시스템 연동 개발 비즈니스 요구사항 기반 신규 기술 도입 검토 및 효율적인 개발/운영 환경 구축 고객 주문을 최소 비용으로 빠르게 배송하기 위한 최적화 알고리즘 설계 및 적용 자격 요건 Java 및 Spring Framework 기반 웹 애플리케이션 7년 이상의 개발 경력을 보유하신 분 대규모 웹 애플리케이션 개발 및 운영 경험을 보유하신 분 복잡한 도메인 및 대규모 시스템 환경에 대한 이해와 학습 의지가 있으신 분 MSA 환경 또는 대규모 트래픽/고가용성 시스템에 대한 관심이 높으신 분 우대 사항 Microservices Architecture 기반 시스템 개발 경험 또는 이해가 있으신 분 Cloud 환경에서의 서비스 개발 및 운영 경험이 있으신 분 비동기/Event-Driven Architecture 경험이 있으신 분 코드 품질 향상을 위한 개선 및 리팩토링 경험이 있으신 분 JPA, Hibernate 등 ORM 사용 및 도메인 모델링 경험이 있으신 분 E-Commerce 서비스 개발 경험이 있으신 분빌드/테스트/배포 자동화(CI/CD) 경험이 있으신 분 Redis, Memcached 등 NoSQL을 활용한 대용량 데이터 처리 경험이 있으신 분 전형 절차 및 안내 사항 전형 절차 서류전형 - 1차 면접 - 2차 면접 - 최종 합격 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고 사항 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy/ 서류 반환 정책 본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 ( recruitingops@coupang.com ) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다.

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Team Overview The Recommendations team optimizes the customer product discovery experience to drive long-term growth. As millions of shoppers encounter recommendations across every screen daily, these interactions account for over half of Coupang’s total sales alongside search, serving as a primary engine for key business initiatives. We focus on enhancing recommendation quality while providing our ranking systems as a platform for stakeholder teams company-wide. By leveraging state-of-the-art AI/ML technologies and building highly scalable systems, we aim to provide a "wow" discovery experience that anticipates customer needs even before they are explicitly expressed. About the Role As a Staff Machine Learning Engineer, you will drive the design, development, and evolution of our end-to-end recommendation systems, placing AI/ML innovation at the core of our recommendation quality. This role encompasses the full lifecycle of recommendations from architecting sophisticated ranking, retrieval, and relevance models to scaling the robust systems that power Coupang’s recommendations. You will partner with global cross-functional teams to own the customer discovery journey, continuously elevating the user experience through rigorous experimentation and the deployment of high-impact algorithms. If you are passionate about leveraging massive, real-time datasets and millions of customer interactions to drive tangible business and customer impact, and you want to solve genuine customer challenges through innovative AI/ML technology, this role is a perfect match for you. Key Responsibilities Strongly own the Recommendation service, one of the most critical for Coupang to make sure we are wowing customers constantly. Collaborate tightly with multiple global teams across the company to co-build a world class recommendation system Mine vast amount of data to gain insights from customer behavior Develop new Machine Learning models and features to create new recommendation algorithm or improve existing algorithms Create data jobs to generate Machine Learning features; build and train new models; run experiments to validate and launch new models Mentor and grow engineers across the teams. Qualifications Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics or closely related fields. Proven ability to derive actionable insights from complex datasets and solve business-critical problems using advanced AI/ML technologies. Demonstrated experience as a domain technical leader, driving collaboration across teams to deliver large-scale, high-impact solutions. 5+ years of professional experience in applied AI/ML with large-scale, complex datasets to extract robust features and create reliable machine learning models. Fast paced self-learner with proven track record of launching successful algorithms that drive measurable business impact. Professional proficiency in Python and/or Java with relevant industry experience. Excellent communication skills with professional proficiency in English. Preferred Qualifications Ph.D. or Master degree inComputer Science, Electrical Engineering, Mathematics, Statistics or related science majors Experience with Recommendation or Search Systems Experience with LLMs, PLMs, and embedding models Experience with cloud platforms such as AWS, GCP including services like Vertex AI Industrial experience working with online serving system working at scale Excellent communicator with great listening skills, growth mindset and can-do attitude Recruitment Process and Others Recruitment Process Application Review - Job Fit Interview - Focus Interview - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.

쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 유지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 조직 소개 (About the Team) Coupang Ads 플랫폼은 매달 수천만 명의 고객과 수십만 명의 판매자/광고주를 정밀하게 연결하는 테크 조직입니다. Ads Growth 팀은 최첨단 머신러닝, 생성형 AI(Generative AI), 그리고 에이전틱 AI(Agentic AI) 기술을 활용하여 쿠팡의 광고 비즈니스 성장을 견인하고 광고주의 투자 수익률(ROI)을 극대화하는 혁신적인 솔루션을 구축합니다. 우리는 대규모 실시간 옥션(Auction) 시스템 최적화, 정밀한 타겟팅, 그리고 광고 캠페인 생성부터 노출/최적화까지의 전 과정을 자율적으로 수행하는 차세대 AI 시스템을 개발하고 있습니다. 역할 개요 (Role Overview) Senior Staff Machine Learning Engineer는 Ads Growth 팀의 핵심 기술 리더(IC)로서, 쿠팡 광고 플랫폼의 차세대 아키텍처를 설계하고 중장기 기술적 방향성을 정의합니다. 단순히 모델을 학습시키는 것을 넘어, Multi-Agent 시스템, 자율적 추론 파이프라인, 보상 기반 강화학습(RL) 등 최신 기술을 대규모 프로덕션 환경에 이식하여 비즈니스 임팩트를 만들어냅니다. 특히 글로벌 협업 환경에서 한국어와 영어 양국어로 명확하게 소통하며 크로스 기능(Cross-functional) 조직을 리드하고, 복잡한 트레이드오프 관계를 조율하는 선구자적인 역할을 수행합니다. 주요 업무 (Responsibilities) 차세대 에이전틱 시스템 설계: LangGraph, ReAct 등을 활용하여 멀티 에이전트 오케스트레이션, 도구 사용(Tool-usage), 장단기 메모리 및 자율 추론 파이프라인을 갖춘 대규모 Agentic AI 시스템 구축 광고 최적화 및 모델링: 포스트 트레이닝 강화학습(RLHF, RLAIF, Reward Modeling)을 도입하여 광고주 성과 및 사용자 경험을 극대화하는 보상 기반 최적화 모델 개발 LLM 고도화 및 인프라 구축: 대규모 언어 모델(LLM)의 파인튜닝, 지식 증류(Distillation), 대규모 분산 서빙 및 실시간 추론(Inference) 효율화 아키텍처 리드 데이터 기반의 혁신: 복잡하고 거대한 광고 데이터셋을 탐색하여 숨겨진 패턴을 식별하고, 이를 계량화된 광고 퍼포먼스(CTR, CVR, tROAS 달성률 등) 개선으로 연결 글로벌 기술 리더십 및 얼라인먼트: Ads Growth의 중장기 기술 로드맵을 설정하고, 국/영문 테크니컬 디자인 문서(Design Docs) 작성을 통해 글로벌 유관 부서(Product, Infrastructure 등)와 복잡한 트레이드오프 조율 및 싱크 얼라인 엔지니어링 엑설런스: 철저한 코드 리뷰, 테스트 자동화, CI/CD, 시스템 디자인 가이드를 통해 최고 수준의 소프트웨어 엔지니어링 프랙티스 전파 (Claude Code 등 AI 코딩 에이전트를 적극 활용하여 개발 워크플로우 가속화) 자격 요건 (Basic Qualifications) 컴퓨터공학, 엔지니어링, 수학, 통계학 또는 관련 분야의 학사 학위 이상 탁월한 커뮤니케이션 스킬 보유자 (글로벌 팀 및 다국적 이해관계자와의 원활한 업무 조율 체계 필수) 대규모 프로덕션 머신러닝(ML) 시스템을 설계, 배포 및 운영한 5년 이상의 전문 경력 Agentic AI 시스템 구축 경험: 멀티 에이전트 오케스트레이션, 플래닝, 자율 추론 파이프라인 설계 및 구현 경험 (예: ReAct 프레임워크, LangGraph 등 활용) 고도화된 소프트웨어 엔지니어링 역량 및 프로그래밍 스킬 (Python 숙련자, Test-driven 개발, CI/CD 및 확장 가능한 시스템 디자인 역량) 기술 리더십 역량: 주도적으로 기술 방향성과 로드맵을 설정하고, 엔지니어들을 멘토링하며, 전사적/교차 부서 간 얼라인먼트를 이끌어낸 경험 우대 사항 (Preferred Qualifications) 컴퓨터공학, 엔지니어링, 수학, 통계학 또는 관련 분야의 석사 또는 박사 학위(Ph.D.) 대규모 디지털 광고 시스템(Advertising Systems)에 대한 깊은 이해 및 개발 경험 보상 기반 최적화(Reward-based optimization)를 위한 포스트 트레이닝 강화학습(RLHF, RLAIF 또는 도메인 특화 리워드 모델링) 경험 LLM 파인튜닝, 증류(Distillation), 대규모 serving/inference 인프라 최적화 경험 End-to-End 모델 트레이닝 및 서빙 파이프라인(Feature Store, 온/오프라인 평가, A/B 테스트 프레임워크) 구축 경험 복잡한 대용량 데이터셋에서 인사이트를 도출하고, 이를 측정 가능한 광고 성과 지표로 전환한 성공 트랙 레코드 Claude Code 등 최신 코딩 에이전트/AI 툴을 활용하여 AI 개발 워크플로우를 극대화해 본 경험 탁월한 서면 커뮤니케이션 능력 (복잡한 기술적 트레이드오프를 명확한 디자인 문서로 시각화 및 문서화하여 다국적 이해관계자를 설득할 수 있는 역량) 전형 절차 및 안내사항 전형 절차 서류전형 - 직무 적합성 인터뷰 - 핵심 역량 인터뷰 - 최종 합격 모든 면접은 비대면 화상면접으로 진행됩니다. 전형 절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 참고 사항 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반 사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy 서류 반환 정책 본 고지는 『채용절차의 공정화에 관한 법률』 제11조 제6항에 따른 것입니다. 당사 채용에 응시한 구직자 중 최종합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 위 2항 본문에 따라 채용서류 반환 청구를 하는 구직자는 채용서류 반환청구서[채용절차의 공정화에 관한 법률 시행규칙 별지 제3호 서식]를 작성하여 당사 이메일 (recruitingops@coupang.com) 로 제출하면, 제출이 확인된 날로부터 14일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위 2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180일 간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. About the Team The Coupang Ads Platform is a core technology organization that precisely connects tens of millions of customers with hundreds of thousands of merchants and advertisers every month. The Ads Growth team leverages cutting-edge Machine Learning, Generative AI, and Agentic AI technologies to drive Coupang's advertising business growth and maximize advertiser ROI. We are building the next generation of AI systems that autonomously manage the entire advertising lifecycle—from campaign creation and targeting to real-time auction optimization and budget delivery. Role Overview As a Senior Staff Machine Learning Engineer and a high-level technical Individual Contributor (IC), you will define the technical direction and architect the next-generation foundation for Coupang's advertising platform. Going beyond traditional model training, you will build and scale complex multi-agent systems, autonomous reasoning pipelines, and reward-based reinforcement learning systems in a massive production environment. Operating in a highly global environment, you will bridge technical and cross-functional teams by communicating fluently in both Korean and English, aligning stakeholders across complex engineering tradeoffs. Responsibilities Architect Next-Gen Agentic Systems: Design and deploy large-scale Agentic AI systems featuring multi-agent orchestration, tool-usage, planning, memory, and autonomous reasoning pipelines utilizing frameworks such as ReAct and LangGraph. Optimize Ad Delivery & Modeling: Implement post-training reinforcement learning (RLHF, RLAIF, or domain-specific reward modeling) to build reward-based optimization pipelines that maximize advertiser performance and shopper experience. Scale LLM Capabilities: Lead the technical implementation of LLM fine-tuning, distillation, and high-throughput, low-latency serving/inference infrastructure at scale. Drive Data-Driven Innovation: Explore massive, complex advertising datasets to discover non-obvious patterns, translating these insights into measurable advertising performance indicators (e.g., CTR, CVR, and tROAS attainment). Global Technical Leadership & Alignment: Establish long-term technical roadmaps for Ads Growth. Author comprehensive technical design documents in English and Korean to align cross-functional, multinational stakeholders on complex architectural tradeoffs. Promote Engineering Excellence: Champion rigorous software engineering practices, including comprehensive testing, automated CI/CD, and robust system design. Proactively accelerate AI development workflows using advanced coding agents (e.g., Claude Code). Basic Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field. Strong communication skills (Essential for seamless collaboration with global teams and multinational stakeholders). 5+ years of professional experience in applied machine learning, with a proven track record of shipping and scaling production ML systems. Experience with Agentic AI Systems: Hands-on experience designing and building multi-agent orchestration, planning, memory, and autonomous reasoning pipelines (e.g., ReAct, LangGraph). Strong Software Engineering Practices: Proficiency in Python combined with production-grade engineering disciplines (automated testing, rigorous code reviews, CI/CD, and scalable system design). Proven Technical Leadership: Demonstrated ability to set technical directions, drive long-term roadmaps, mentor engineers, and establish alignment across cross-functional organizations. Preferred Qualifications Master’s or Ph.D. in Computer Science, Engineering, Mathematics, or a related technical field. Deep domain expertise in large-scale Digital Advertising Systems. Experience with post-training reinforcement learning for reward-based optimization (RLHF, RLAIF, or domain-specific reward modeling). Experience with LLM fine-tuning, distillation, and efficient serving/inference infrastructure optimization at scale. Hands-on experience building and managing end-to-end model training and serving pipelines (Feature Stores, online/offline evaluation, and A/B testing frameworks). A proven track record of diving into massive datasets, uncovering non-obvious patterns, and converting findings into quantifiable advertising performance metrics. Experience accelerating AI development workflows using advanced coding agents (e.g., Claude Code). Exceptional written communication skills, with the ability to write clean technical design docs that clearly articulate complex architectural tradeoffs to multinational stakeholders. Recruitment Process and Others Recruitment Process Application Review - Job Fit Interview - Focus Interview - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.

C o mpany Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Team Description Coupang Workday HRIS Team is a global team which has team member in Korea, China. The team is responsible for Coupang Global Workday system operation. We use our professional Workday system technical ability to work with global HR teams on Workday system solution upgrade. The work process stages including requirement analysis, system solution design, system solution implementation, testing, change live, post go-live supporting, administration, etc. The scope of Workday HR function modules includes Core HCM, Compensation, Time Tracking, Talent & Performance, Absence, Security, Report, etc. The scope of countries and regions of operation includes Korea, China (include Hongkong and Taiwan), US, Japan, Singapore, India etc. Total more than 30000 workers. What You Will Do Provide Workday support and resolve user issues. Gather, analyze, and prioritize business requirements. Design scalable and user-friendly Workday solutions. Implement system changes, testing, and production migrations. Partner with HR and stakeholders to improve processes and operations. Basic Qualifications At least bachelor's degree. Fluent English Communication is required. 8+ years of Workday functional consulting experience or in-house HRIS background. Strong Workday HCM and Absence knowledge, other modules will be a plus. Experience with Workday configuration, security, report, and EIBs. Good understanding of core HR processes. Excellent communication, consulting, and stakeholder management skills. Strong problem-solving, analytical, and project management abilities. Experience leading global Workday implementations. Ability to manage complex projects, risks, and resources. Strategic mindset with strong collaboration and adaptability. Recruitment Process and Others Recruitment Process Application Review - Job Fit Interview - Focus Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email ( recruitingops@coupang.com ) . In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billiondollar e-commerce industry from the ground up. We are one of the fastest-growing ecommerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Job Overview The Director of Data Security Engineering is responsible for defining and executing the organization’s data protection strategy, ensuring the confidentiality, integrity, and availability of sensitive data across all environments. This leader will build and scale a modern data security engineering program, driving innovations in data protection technologies, automation, and zero trust practices to safeguard enterprise and customer data. This role partners closely with security architecture, privacy, engineering, legal, and business stakeholders to operationalize data security across cloud, SaaS, and on-premises ecosystems. Key Responsibilities Responsibilities will include, but not be limited to, the following: Strategy & Leadership Define and execute the enterprise data security strategy aligned with business objectives and risk posture. Build, lead, and mentor a high-performing data security engineering team. Establish multi-year roadmaps for data protection capabilities (e.g., data discovery, classification, encryption, DLP). Act as a subject matter expert and executive advisor on data security risks and controls. Data Protection Engineering Design and implement scalable controls for: Data discovery, classification, and labeling Data Loss Prevention (DLP) across endpoints, networks, SaaS, and cloud Encryption and key management (at rest, in transit, in use) Tokenization, masking, and anonymization Lead engineering efforts for securing structured and unstructured data across: Cloud platforms (AWS, Azure, GCP) SaaS applications (M365, Salesforce, etc.) Data platforms (databases, data lakes, warehouses) Cloud & Modern Data Security Drive security integration into modern data architectures (data lakes, AI/ML pipelines, GenAI systems). Implement and mature Zero Trust data access models. Ensure secure data usage in analytics, APIs, and distributed systems. Risk, Compliance & Privacy Alignment Align data security controls with regulatory and compliance frameworks Partner with Privacy and Legal teams to embed privacy-by-design and data minimization principles. Support audit readiness and remediation efforts related to data protection. Threat Protection & Incident Response Collaborate with threat detection & response teams to identify and mitigate data exfiltration risks. Develop controls and telemetry to detect insider threats and anomalous data access. Lead post-incident reviews related to data security breaches. Stakeholder Collaboration Work cross-functionally with: Security Architecture & Platform Engineering Application & Infrastructure Engineering Data Engineering & Analytics teams Legal, Compliance, and Privacy teams Communicate risks, strategies, and program maturity to executive leadership. Essential Requirements 10–15+ years of experience in cybersecurity, with significant focus on data security. 5+ years in a leadership role managing security engineering teams. Deep expertise in: Data security technologies (DLP, DSPM, encryption, key management) Cloud-native security (AWS, Azure, GCP) Data platforms (Snowflake, Databricks, BigQuery, etc.) Strong understanding of: Zero Trust principles Identity and access management (IAM, RBAC/ABAC) Secure data architecture patterns Experience implementing security in CI/CD and DevSecOps environments. Familiarity with regulatory frameworks and data protection laws. Bachelor’s degree in Computer Science, Information Security, or related field (Master’s preferred). Preferred Requirements Experience with Data Security Posture Management (DSPM) tools. Background in privacy engineering or working closely with CPO organizations. Knowledge of modern risks related to AI/GenAI and data leakage. Industry certifications (CISSP, CISM, CCSP, etc.). Experience in large-scale enterprise or highly regulated environments. Strategic thinking with strong execution focus Deep technical expertise balanced with business acumen Strong leadership and team-building skills Excellent communication and stakeholder management Problem-solving in complex, distributed environments Recruitment Process & Others Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company (Coupang Recruiting Team, Tower 730, 570 Songpa-daero, Songpa-gu, Seoul). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.

Senior Product Manager - Fulfillment Technology Services Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview We are seeking a customer-obsessed, data-driven, and highly execution-oriented Product Manager to join the Fulfillment Technology Services team. In this role, you will own product strategy and execution for platforms and services supporting fulfillment operations. You will partner closely with Engineering, Operations, Supply Chain, Data Science, Business Intelligence, and senior leadership teams to identify opportunities, define product requirements, and build scalable solutions that improve operational performance across the fulfillment network. The ideal candidate can operate effectively in a fast-paced environment, influence cross-functional stakeholders, and translate complex business challenges into innovative technology solutions. What You Will Do Own the product vision, strategy, roadmap, and success metrics for one or more Fulfillment Technology products. Identify opportunities to improve fulfillment efficiency, inventory accuracy, capacity utilization, and operational productivity through technology. Partner with stakeholders across Operations, Supply Chain, Finance, and Engineering to define business requirements and prioritize initiatives. Lead end-to-end product development from concept through launch and post-launch optimization. Develop business cases that align customer experience improvements with operational and financial outcomes. Define product requirements, user stories, acceptance criteria, and success metrics. Utilize data and analytics to identify bottlenecks, root causes, and growth opportunities. Drive experimentation and continuous improvement through A/B testing and KPI analysis. Communicate product strategy, roadmap, and progress to executive leadership and stakeholders. Balance short-term operational needs with long-term platform scalability. Influence engineering teams and partner organizations to deliver high-impact solutions on time and at scale. Basic Qualifications Bachelor's degree in Engineering, Computer Science, Business, Operations, Economics, or a related field. 5+ years of Product Management, Product Ownership, Program Management, Consulting, Supply Chain, or related experience. Experience leading cross-functional initiatives involving technology and business stakeholders. Strong analytical skills with the ability to leverage data for decision-making and prioritization. Experience defining product requirements and managing product roadmaps. Demonstrated ability to influence without direct authority. Excellent written and verbal communication skills in English. Preferred Qualifications Experience in Fulfillment, Supply Chain, Logistics, Warehouse Management Systems (WMS), Transportation, or E-commerce platforms. Experience working with large-scale operational systems and complex workflows. Strong understanding of marketplace, fulfillment, inventory, and supply chain optimization concepts. Experience partnering with software engineering and data science organizations. SQL proficiency and familiarity with business intelligence tools. MBA or advanced degree is a plus. Experience managing products in a high-growth technology company.

About us Coupang Eats is creating new experiences that make everyday life more convenient for customers by expanding its services beyond food delivery into grocery and retail shopping. Driven by a constant commitment to delivering a better customer experience, we continue to challenge ourselves and lead innovation across new services and categories. Coupang Eats empowers employees who create opportunities and deliver results by giving them greater roles and responsibilities. Here, you can turn your ideas into action, create even greater opportunities through your achievements, and experience the fulfillment of directly driving business growth. If you want to grow alongside experts in their respective fields and take on even greater challenges together, join Coupang Eats today. About the Role Lead ML innovations on Retrieval and Relevance for Coupang Eats Search, one of Asia’s fastest-growing commerce businesses. You will shape how customers discover brands, stores, dishes, and products across food delivery and quick commerce, owning the machine learning models and strategies behind retrieval and relevance. As the ML Lead for Coupang Eats Search, you will be accountable for increasing successful retrieval of brands, stores, dishes, and products, and for driving measurable improvements in relevance and conversion . You will own the end-to-end stack, including query and menu understanding, candidate retrieval, relevance, and quality evaluation. You will establish a multi-year roadmap and lead projects across machine learning and engineering. Food-delivery search is dynamic, hyperlocal, and time-sensitive. Results must reflect customer intent while adapting to location, restaurant and menu availability, delivery time, price, promotions, quality, and real-time customer context. The ideal candidate combines deep search and NLP expertise with strong product judgment and organizational leadership, and can balance quality, latency, reliability, and experimentation velocity . What You Will Do (Key Responsibilities) Customer and Business Outcomes : Own the machine learning strategy, metrics, and execution for improving brand, store, dish, and product retrieval and increasing conversion across Coupang Eats Search surfaces. Establish clear outcome metrics and targets and use rigorous experimentation and diagnostics to deliver sustained improvements while protecting key guardrail metrics and customer experience. Query and Product Understanding: improve query intent and entity understanding, menu and restaurant representation, typo tolerance, synonym expansion, and query rewriting. Retrieval: Advance lexical, semantic, and hybrid retrieval. design scalable, low-latency retrieval strategies, including indexing, feature pipelines, model life cycle. Relevance Measurement and Experimentation: Establish a rigorous quality framework using offline evaluation, human judgments, online experiments, guardrail metrics, and diagnostics for tail queries, cold-start cases, and customer segments. ML and LLM Innovation: Apply modern machine learning, embeddings, and LLMs to query and menu understanding, candidate generation, labeling, evaluation, and defect analysis, with clear customer impact and cost discipline. Multi-Market and Localization: Build reusable capabilities while adapting language understanding, cuisine taxonomies, customer preferences, and marketplace signals to the needs of each market. Organization Leadership: coach machine learning engineers, infra engineers, and work with data analysts to build a world-class Coupang Eats Search experience. What We are Looking for Required Qualifications 10+ years in search, information retrieval, NLP Deep expertise in product understanding, retrieval, relevance, and modern LLM techniques. Proven delivery of large-scale consumer Search systems with measurable customer and business impact. Experience in designing retrieval methods for distributed, low-latency systems at scale with relevance guarantee. Masters or Ph.D. in Computer Science or related technical fields. Preferred Qualifications Food delivery, local commerce, e-commerce, advertising experience. Hyperlocal, time-sensitive ranking using location, availability, delivery time, price, and promotion signals. Multilingual or localized Search experience across markets. Practical experience with embeddings, transformers, LLMs that delivered measurable impact. Publications in search, NLP, e-commerce, or advertising. Recruitment Process and Others: Recruitment Process Application Review - Job Fit Interview - Focus Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Things to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “ Company ”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company by email (recruitingops@coupang.com) In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Team Overview The Recommendations team optimizes the customer product discovery experience to drive long-term growth. As millions of shoppers encounter recommendations across every screen daily, these interactions account for over half of Coupang’s total sales alongside search, serving as a primary engine for key business initiatives. We focus on enhancing recommendation quality while providing our ranking systems as a platform for stakeholder teams company-wide. By leveraging state-of-the-art AI/ML technologies and building highly scalable systems, we aim to provide a "wow" discovery experience that anticipates customer needs even before they are explicitly expressed. About the Role As a Sr. Staff Machine Learning Engineer, you will drive the design, development, and evolution of our end-to-end recommendation systems, placing AI/ML innovation at the core of our recommendation quality. This role encompasses the full lifecycle of recommendations from architecting sophisticated ranking, retrieval, and relevance models to scaling the robust systems that power Coupang’s recommendations. You will partner with global cross-functional teams to own the customer discovery journey, continuously elevating the user experience through rigorous experimentation and the deployment of high-impact algorithms. If you are passionate about leveraging massive, real-time datasets and millions of customer interactions to drive tangible business and customer impact, and you want to solve genuine customer challenges through innovative AI/ML technology, this role is a perfect match for you. Key Responsibilities Strongly own the Recommendation service, one of the most critical for Coupang to make sure we are wowing customers constantly. Collaborate tightly with multiple global teams across the company to co-build a world class recommendation system Mine vast amount of data to gain insights from customer behavior Develop new Machine Learning models and features to create new recommendation algorithm or improve existing algorithms Create data jobs to generate Machine Learning features; build and train new models; run experiments to validate and launch new models Mentor and grow engineers across the teams. Qualifications Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics or closely related fields. Proven ability to derive actionable insights from complex datasets and solve business-critical problems using advanced AI/ML technologies. Demonstrated experience as a company-wide technical leader, driving cross-functional collaboration to deliver large-scale, high-impact solutions. 8+ years of professional experience in applied AI/ML with large-scale, complex datasets to extract robust features and create reliable machine learning models. Fast paced self-learner with proven track record of launching successful algorithms that drive measurable business impact. Professional proficiency in Python and/or Java with relevant industry experience. Excellent communication skills with professional proficiency in English. Preferred Qualifications Ph.D. or Master degree inComputer Science, Electrical Engineering, Mathematics, Statistics or related science majors Experience with Recommendation or Search Systems Experience with LLMs, PLMs, and embedding models Experience with cloud platforms such as AWS, GCP including services like Vertex AI Industrial experience working with online serving system working at scale Excellent communicator with great listening skills, growth mindset and can-do attitude Recruitment Process and Others Recruitment Process Application Review - Job Fit Interview - Focus Interview - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.

English version follows the Korean. 회사 소개 쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 직무 소개 쿠팡의 AI Security Architect는 인공지능 및 머신러닝 플랫폼 전반의 보안 아키텍처를 설계, 정의, 관리하는 핵심 역할을 수행합니다. 본 포지션은 전사 차원의 AI 보안 표준 아키텍처, 모델 안전성 프레임워크, 리스크 거버넌스 체계를 수립하며, 쿠팡의 리더십 원칙과 문화를 실천하는 기술 리더로서 차세대 AI 인프라에 Secure-by-Design 원칙을 내재화합니다. 업무 내용 • AI/ML 플랫폼의 보안 아키텍처 설계 및 확장 • 엔드투엔드 보안 설계 수립, 복잡한 AI 파이프라인 위협 모델링, 모델 생애주기 전반에 대한 보안 표준 정의 • 데이터 기반 AI 리스크 관리 및 위협 거버넌스 체계 수립 • 보안 위험 지표 정의, 플랫폼 보안 수준 평가 및 조직 목표와의 아키텍처 정합성 확보 • Principal Software Engineer, Enterprise Architect, 개발 조직 리더 등 주요 이해관계자와의 긴밀한 협업 관계 구축 • LLM Guardrails, Agentic System, 실시간 데이터 프라이버시, Cloud MLOps 등 차세대 AI 플랫폼의 보안 요구사항에 대한 전문성 확보 • 변화하는 기술 환경 및 위협 요소에 신속하게 대응하고 AI 보안 아키텍처 혁신 주도 시스템 설계 검토, 고위험 아키텍처 감사, 기술 거버넌스 표준 수립을 통한 데이터 유출·모델 • 역설계(Model Inversion)·파이프라인 침해 방지 • 개발 생산성과 시스템 안정성 향상을 위한 보안 프레임워크, 자동화된 컴플라이언스 체계 및 고위험 보안 리뷰 가이드 제공 자격 요건 • 컴퓨터공학, 정보보호, 컴퓨터공학 관련 분야 학사 이상 보유자로 기술 분야 경력 6년 이상을 보유하신 분 • 엔터프라이즈 아키텍처, 클라우드 보안 또는 소프트웨어 보안 설계 분야의 실무 경험을 보유하신 분 • AI/ML 시스템, AWS/GCP/Azure 기반 클라우드 인프라에 대한 깊은 아키텍처 이해를 보유하신 분 • Prompt Injection, Model Theft, Data Poisoning, OWASP Top 10 for LLMs 등 AI 특화 보안 위협에 대한 전문 지식을 보유하신 분 • 분산 환경의 복잡한 애플리케이션을 위한 위협 모델, 보안 표준, 참조 아키텍처 설계 경험을 보유하신 분 • 체계적인 사고와 창의적 문제 해결 능력을 바탕으로 대규모 아키텍처 과제를 해결하실 수 있는 분 • 다양한 조직과 협업하며 합의점을 도출하고 영향력을 발휘하실 수 있는 분 • 경영진 및 시니어 기술 리더를 대상으로 효과적인 커뮤니케이션을 통해 보안 전략을 추진하실 수 있는 분 우대 사항 • SABSA, TOGAF, CISSP-ISSAP, CCSP 등 보안 또는 아키텍처 관련 전문 자격증을 보유하신 분 • AI/ML 시스템 구축 및 운영 경험을 보유하신 분 • 개인정보 보호, 기밀 컴퓨팅(Confidential Computing), 차등 프라이버시(Differential Privacy), 데이터 보호 규제 관련 전문성을 보유하신 분 • AI 모델 내 개인정보(PII) 처리 및 보호 체계 수립 경험을 보유하신 분 • 빠르게 성장하는 테크 기업, 대규모 이커머스 환경 또는 글로벌 클라우드 환경에서 AI 보안 혁신을 주도한 경험을 보유하신 분 • Zero Trust 기반 AI 플랫폼 구축 또는 보안 아키텍처 전환 경험을 보유하신 분 전형 절차 및 안내 사항 전형 절차 서류전형 - 직무 적합성 인터뷰 - 핵심 역량 인터뷰 - 최종 합격 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고 사항 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy/ 서류 반환 정책 본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 ( recruitingops@coupang.com ) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다. Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview Coupang’s AI Security Architects play a critical role in safeguarding our technology ecosystem by designing, defining, and governing the enterprise-wide security architecture for all artificial intelligence and machine learning platforms. As a AI Security Architect, you will establish standard reference architectures, model safety frameworks, and risk governance protocols across the organization. You will act as a principal technical leader and ambassador, championing Coupang’s leadership principles while embedding secure-by-design standards into our next-generation AI infrastructure. What You Will Do Architect and scale secure AI/ML foundations for Coupang’s rapidly expanding business by designing end-to-end security blueprints, threat modeling complex pipelines, and establishing enterprise standards for secure model lifecycles. Employ a data-driven approach to AI risk management and threat governance. Define key security risk metrics, evaluate platform posture, and ensure architectural alignment with organizational objectives . Build close relationships with key stakeholders, including principal software engineers, enterprise architects , development leaders . Acquire in-depth knowledge of the business domains and specialized security demands for emerging technology platforms (e.g., LLM guardrails, agentic systems, real-time data privacy, and secure cloud MLOps infrastructure). Rapidly respond to our evolving technical and threat landscape, aggressively driving architectural innovations to create a world in which our customers ask, “How did I ever live without Coupang?” Improve the AI security ecosystem by reviewing system designs, auditing high-risk architectures, and authoring technical governance standards to prevent data leakage, model inversion, and pipeline compromise. Enhance developer efficiency and system reliability by delivering friction-free security frameworks, automated compliance patterns, and guidance during high-severity architectural security reviews. Basic Qualifications Bachelor’s degree in computer science , Cybersecurity, Computer Engineering, or a related field, and 6+ years of total experience in technology, with significant focus on enterprise architecture, cloud security, or software security design. Deep architectural knowledge of AI/ML systems, cloud infrastructure (AWS/GCP/Azure), and specialized security threats unique to AI (e.g., prompt injection, model theft, data poisoning, and OWASP Top 10 for LLMs). Demonstrated experience authoring threat models, enterprise security standards, and secure reference architectures for complex, distributed applications. Ability to solve high-impact architectural challenges through systemic thinking, creative problem-solving, and cross-team consensus. Ability to influence senior technical leaders and drive strategic security adoption across business units through executive-level communication. Preferred Qualifications Recognized industry credentials in architecture or security (e.g., SABSA, TOGAF, CISSP-ISSAP, CCSP) alongside demonstrated hands-on experience with AI/ML systems. Deep expertise in regulatory compliance, confidential computing, differential privacy, and data protection regulations (e.g., PII handling in AI models). Experience leading AI security transformation or building zero-trust AI platforms within a high-growth tech company, large-scale e-commerce ecosystem, or global cloud environment. Recruitment Process and Others Recruitment Process Application Review - 1st Interview - 2nd Interview - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

회사 소개 쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 직무 소개 Identity Governance and Administration(IGA) 체계를 고도화하고 Non-Human Identity(NHI) 보안 전략을 발전시킬 수 있는 뛰어난 분석력과 실무 역량을 갖춘 IAM Governance & NHI Engineer 를 찾고 있습니다. 이 직무는 전통적인 휴먼 액세스 거버넌스와 머신 아이덴터티 관리를 모두 담당하는 하이브리드 역할입니다. 감사(Audit) 및 컴플라이언스 대응 자동화 분야의 Subject Matter Expert(SME)로서 활동하는 동시에, Entro, Oasis, Zuma와 같은 최신 NHI 솔루션을 직접 설계·구축하여 자동화 파이프라인, 서비스 계정 및 시크릿(Secrets) 보안을 강화하게 됩니다. 업무 내용 Identity Governance & Compliance Human Identity Governance 체계의 설계, 운영 및 지속적인 개선을 위한 핵심 SME 역할 수행 내부 및 외부 감사팀, Risk 및 Compliance 조직과 협력하여 감사 증적(Evidence) 제공, 기술 문의 대응 및 감사 지적사항 개선 수행 SOX, SOC2, ISO 27001 등 다양한 컴플라이언스 프레임워크를 Human/Machine Identity에 적용 가능한 IAM 기술 통제로 변환 및 구현 반복적이고 수작업 중심의 업무를 자동화할 수 있는 플랫폼을 구축하여 컴플라이언스 및 감사 요구사항 충족 Non-Human Identity (NHI) 전략 및 구축 멀티 클라우드 및 온프레미스 환경 전반에서 Non-Human Identity(서비스 계정, API Key, OAuth Token, Secret, 인증서 등)를 관리·보호하기 위한 전사 전략 수립 및 실행 최신 NHI 및 Secrets Management 솔루션(예: Entro, Oasis, Zuma) 평가 및 도입 NHI에 대해 Human Account와 동일한 수준의 거버넌스, 소유권 관리(Ownership), 정기 검토 프로세스가 적용될 수 있도록 라이프사이클 관리 체계 수립 소스코드 및 CI/CD 파이프라인 내 하드코딩되었거나 관리되지 않는 시크릿 탐지, Vault 이관 및 지속 관리 Automation & Continuous Improvement 수작업 기반 프로세스는 보안 리스크와 운영 피로도를 증가시킵니다. 본 포지션의 핵심 목표는 IAM 거버넌스 및 NHI 운영을 적극적으로 자동화하여 보안 수준, 운영 속도 및 개발자 경험(Developer Experience)을 향상시키는 것입니다. NHI Discovery & Rotation: Orphaned NHI를 지속적으로 탐지하고, 비정상적인 머신 간 통신(Machine-to-Machine Behavior)을 모니터링하며, 운영 환경에 영향을 주지 않는 자동 Secret Rotation 워크플로우 개발 Automated Campaign Generation: Saviynt를 활용하여 부서 이동, 직급 변경 등 고위험 이벤트 발생 시 자동으로 타겟형 Access Certification/Micro-Certification 캠페인이 실행되도록 스크립트 및 정책 구성 Zero-Touch Provisioning / Deprovisioning: 퇴사 시 접근 권한을 즉시 회수하는 자동화 프로세스 구축, 신규 입사자 또는 신규 마이크로서비스 생성 시 기본 권한(Baseline Access)을 자동 부여하는 워크플로우 개발 API Integration: REST API, Python, Go, PowerShell 등을 활용하여 개별적으로 운영되는 애플리케이션을 중앙 IAM Governance 및 NHI 플랫폼과 연계하고, 기본 커넥터가 존재하지 않는 환경에서도 접근 권한 가시성 및 관리 자동화 구현 자격 요건 8년 이상의 IAM 관리 및 IGA 플랫폼, secret / machine identity 관리 경험 NHI 및 개발 전문성(NHI & Development Expertise): 현대적인 NHI 라이프사이클 관리 도구(Entro, Oasis, Zuma) 및 시크릿 관리(Secrets Management)에 대한 실무 엔지니어링 및 개발 경험. 코딩 및 스크립팅 역량 필수 (Python, PowerShell, Go) Saviynt: Saviynt(EIC/Cloud) 관리 및 운영 경험을 보유하신 분 (필수 아님) 감사 대응 역량: 감사인(Auditor) 대응 경험이 풍부하며, 기술적 IAM 개념을 비기술 조직인 리스크(Risk) 팀에 효과적으로 설명하고 커뮤니케이션할 수 있는 역량 심화 IAM 지식: IAM 핵심 개념인 SSO, MFA, SAML, OIDC, Active Directory, PAM, RBAC/ABAC에 대한 포괄적인 이해 전형 절차 및 안내 사항 전형 절차 서류전형(영문이력서) - 직무 적합성 인터뷰 (Job Fit Interview) - 핵심 역량 인터뷰 (Focus Interview) – 최종 합격 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고 사항 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy/ 서류 반환 정책 본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 ( recruitingops@coupang.com ) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다. Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview We are seeking a highly analytical and technically hands-on IAM Governance & NHI Engineer to mature our Identity Governance and Administration (IGA) framework and Non-Human Identity (NHI) security strategy. In this hybrid role, you will straddle traditional human access governance and machine identity management. You will serve as the SME to automate audit compliance, while actively developing and deploying advanced NHI solutions (using tools like Entro, Oasis, or Zuma) to secure our automated pipelines, service accounts, and secrets. Key Responsibilities Identity Governance & Compliance Serve as the primary SME for the design, execution, and continuous improvement of human Identity Governance initiatives. Partner directly with internal and external audit teams, Risk, and Compliance to provide evidence, answer technical inquiries, and remediate audit findings. Translate complex compliance frameworks (e.g., SOX, SOC2, ISO 27001) into actionable IAM technical controls for both human and machine identities. Introduce and build automation platforms to mitigate automated tasks, while ensuring compliance/audit requirements are met. Non-Human Identity (NHI) Strategy & Development Define and execute the enterprise strategy for managing and securing Non-Human Identities (service accounts, API keys, OAuth tokens, secrets, and certificates) across multi-cloud and on-premise environments. Evaluate and implement modern NHI and secrets management platforms (e.g., Entro, Oasis, Zuma). Establish mechanisms to enforce strict lifecycle governance for NHIs, ensuring they are subject to the same rigorous oversight, ownership attribution, and review processes as human accounts. Identify, vault, and manage unmanaged or hardcoded secrets embedded in source code and CI/CD pipelines. Automation & Continuous Improvement Manual processes introduce risk and fatigue. A core objective of this role is to ruthlessly automate IAM governance and NHI operations to improve security, speed, and developer experience. NHI Discovery & Rotation : Develop automated workflows to continuously discover orphaned NHIs, alert on anomalous machine-to-machine behavior, and enforce automated secret rotation without disrupting production workloads. Automated Campaign Generation : Script and configure Saviynt to automatically trigger targeted micro-certifications based on high-risk events (e.g., department transfers, title changes). Zero-Touch Provisioning/Deprovisioning : Build workflows that instantly revoke access upon termination and automatically provision baseline access for new hires or newly spun-up microservices. API Integrations : Utilize REST APIs, Python, Go, or PowerShell to connect siloed applications to our centralized governance and NHI platforms, automating access visibility where native connectors do not exist. Qualifications Experience: 8+ years of dedicated experience in Identity & Access Management, with a balanced focus on IGA platforms and secrets/machine identity management. NHI & Development Expertise: Hands-on engineering and development experience with modern NHI lifecycle tools (Entro, Oasis, Zuma) and secrets management. Strong coding/scripting skills (Python, PowerShell, Go) are required. Saviynt: Administrative experience with Saviynt (EIC/Cloud). Audit Fluency: Strong track record of facing auditors and communicating technical IAM concepts to non-technical risk teams. Deep IAM Knowledge: Comprehensive understanding of core IAM concepts (SSO, MFA, SAML, OIDC, Active Directory, PAM, RBAC/ABAC). Recruitment Process and Others Recruitment Process Application Review - 1st Interview - 2nd Interview - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

English text will follow Korean 회사 소개 쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 리테일 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 유지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현가능한 한계를 뛰어넘고 있습니다. 고가용성(Always-on) 과 최첨단의 앞선 기술(High-tech), 초연결사회(Hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 직무 소개 쿠팡은 빠르게 성장하는 글로벌 기술 환경에서 보안 수준을 지속적으로 강화하기 위해 대규모 Security Platform 및 Security Capability를 설계하고 구축할 Staff Security Software Engineer를 찾고 있습니다. 이 포지션은 단순한 보안 운영 역할이 아닌, 대규모 분산 시스템과 보안 플랫폼을 직접 설계·개발하는 Hands-on Individual Contributor(IC) 역할입니다. 보안, 플랫폼, 인프라, 소프트웨어 엔지니어링 조직과 협업하며 회사 전반의 보안 역량을 향상시키는 솔루션을 구축하게 됩니다. 또한 새로운 기술과 AI 기반 보안 기술을 활용하여 보안 문제를 해결하고, 조직 전반의 기술 방향성에 영향을 미치는 역할을 수행하게 됩니다. 업무 내용 전사적으로 영향력 있는 Security Engineering 프로젝트를 리드하고 실행합니다. 복잡한 보안 문제를 해결하기 위한 확장 가능한 Security Platform 및 Distributed System을 설계하고 개발합니다. Security, Software Engineering, Infrastructure, GRC 조직과 협업하여 요구사항을 실제 서비스 수준의 솔루션으로 구현합니다. 시스템 아키텍처 설계 및 기술 리뷰를 주도하고 엔지니어링 모범 사례를 확산합니다. AI 및 차세대 보안 기술을 검토하고, PoC(Proof of Concept) 및 기술 검증을 수행합니다. 여러 팀에 걸쳐 기술적 리더십을 제공하고 엔지니어를 멘토링합니다. 자격 요건 컴퓨터공학 또는 관련 분야 학사 이상 학위 대규모 분산 시스템(Distributed Systems) 개발 경험을 포함한 8년 이상의 소프트웨어 엔지니어링 경력 복잡한 Cross-functional 프로젝트를 주도한 기술 리더십 경험 Java, Go, Python, C++ 중 하나 이상의 프로그래밍 언어 활용 능력 확장 가능하고 안정적인 플랫폼 및 서비스 설계·구축·운영 경험 분산 시스템, 시스템 아키텍처, 성능 및 안정성에 대한 깊은 이해 AWS 환경 경험 및 IAM, Access Control, Logging 등 보안 관련 기술 이해 우대 사항 Security Engineering 경험 (Vulnerability Management, IAM (Identity & Access Management), Application Security, Data Security, Detection & Response, Security Automation, GRC 관련 기술 솔루션 개발) 대규모 Security Product 또는 Security Platform 개발 경험 AI 기술을 활용한 Security Solution 또는 개발 생산성 향상 경험 여러 조직에 걸친 아키텍처 및 기술 전략 수립 경험 대규모 서비스 환경에서 확장성(Scalability), 가용성(Availability), 성능(Performance) 문제를 해결한 경험 전형절차 • 서류전형 - 1차 면접 - 2차 면접 - 최종 합격 • 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. • 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고사항 • 본 공고는 모집 완료 시 조기 마감될 수 있습니다. • 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. • 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. • 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. • 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. • 고용형태는 정규직으로 수습기간 12주를 포함합니다. 단, 업무상 필요한 경우에는 상기 수습기간을 적용하지 않거나 단축 또는 연장할 수 있습니다. 개인정보 처리방침 • 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy 서류반환정책 1. 본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다. 2. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 3. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제3호 서식]를 작성하여 이메일 (recruitingops@coupang.com) 로 제출하면, 제출이 확인된 날로부터 14일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 4. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 5. 단, 위1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다. Company Introduction We exist to wow our customers. We know we're doing the right thing when we hear our customers say, "How did I ever live without Coupang?" Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview We are looking for an experienced Staff Security Software Engineer to design and build scalable security platforms, and capabilities that strengthen Coupang's security posture. This is a hands-on individual contributor role for engineers who enjoy solving complex technical problems at scale. You will lead the design and implementation of distributed systems, influence technical direction across teams, and partner with security, platform, and software engineering organizations to deliver innovative solutions in the evolving security and AI landscape. What You Will Do Lead the design, development, and delivery of high-impact security engineering initiatives. Build scalable security platforms and distributed systems that address complex security challenges. Collaborate across Security, Engineering, Infrastructure, and GRC teams to translate ambiguous requirements into production-ready solutions. Drive architecture, technical design reviews, and engineering best practices. Evaluate emerging technologies, AI capabilities, and security solutions through prototypes and technical investigations. Mentor engineers and provide technical leadership across teams. Basic Qualifications 8+ years of software engineering experience building large-scale distributed systems. Strong technical leadership experience leading complex, cross-functional engineering initiatives. Proficiency in one or more programming languages such as Java, Go, Python, or C++. Experience designing, building, and operating highly scalable and reliable software platforms. Strong understanding of system architecture, distributed systems, performance, and reliability. Experience with cloud technologies, preferably AWS, including IAM, security controls, logging, and access management. Security engineering experience in one or more domains such as vulnerability management, GRC, application and data security, IAM, detection and response, or security automation. Preferred Qualifications Experience building security products, platforms, or services at scale. Experience leveraging AI technologies to improve security capabilities or engineering productivity. Track record of driving architecture and technical strategy across multiple teams and organizations. Experience solving large-scale availability, scalability, and performance challenges in production environments. Recruitment Process and Others Recruitment Process • Application Review - 1st Interview - 2nd Interview - Offer • The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. • Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider • This job posting may be closed prior to the stated end date for application if all openings are filled. • Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. • Those eligible for employment protection (recipients of veteran's benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. • Job titles and responsibilities may be subject to change depending on the candidate's overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. • Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. • This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice • Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ Document Return Policy 1. This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. 2. A job applicant, who has applied but not been finally selected for a position at Coupang (the "Company"), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. 3. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a "Request for Return of Hiring Documents" [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant's designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. 4. In preparation for a job applicant's request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. 5. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

회사 소개 쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 직무 소개 풀필먼트 센터(FC), 캠프 및 데이터 센터의 안전하고 효율적인 엔터프라이즈 네트워크 인프라를 설계, 배포 및 유지 관리할 Staff Network Engineer를 찾고 있습니다. 이 역할은 비즈니스 요구사항을 이해하고 사용자 및 고객을 위한 네트워크 문제를 해결하며 최적화하는 네트워크 팀의 선임 역할을 수행하게 됩니다. 성공적인 업무 수행을 위해 뛰어난 문제 해결 능력, 위기 관리 능력, 그리고 타 부서와의 원활한 커뮤니케이션 및 콜라보레이션 역량이 필수적입니다. 또한, 쿠팡의 분산된 물류 인프라 환경을 지원하기 위해 현장 이동 및 출장에 제약이 없어야 하며, 글로벌 환경에서 다양한 국가의 팀원들과 유연하게 협업하고 프로젝트를 완수할 수 있는 역량이 요구됩니다. 업무 내용 풀필먼트 센터(FC), 딜리버리 센터(캠프) 및 데이터 센터를 지원하는 엔터프라이즈 네트워크 인프라(LAN, WLAN, WAN, Network Security)를 설계, 기획, 구축 및 유지 관리 FC 설계 팀과 협력하여 확장 가능하고 탄력적이며 비용이 최적화된 네트워크 아키텍처를 개발 자동화, 로보틱스, FC 운영, 인프라, 보안 및 기타 IT 팀, 외부 벤더와 협력하여 비즈니스 요구사항을 파악하고 효과적인 네트워크 솔루션 제공 심각한 인시던트 및 서비스 중단 시 기술적 대응을 주도하며, 복잡한 네트워크, 무선, WAN 및 보안 관련 문제(위기 관리 및 문제 해결)를 해결 네트워크 성능, 가용성 및 트래픽 데이터를 심층적으로 분석하여 잠재적 문제를 선제적으로 예방하고 인프라를 지속적으로 최적화 네트워크 표준, 아키텍처 설계서, 운영 가이드 및 장애 보고서(RCA) 등 고품질의 기술 문서화를 수행하고 자산화 안전한 네트워크 환경 내에서 자동화, 로보틱스, 창고 시스템 및 엔터프라이즈 애플리케이션의 배포, 통합 및 운영 관리를 지원 다양하고 복잡한 프로젝트를 관리하며, 팀원의 지도 및 교육(멘토링)을 수행 보안, 소프트웨어, 운영 및 글로벌 네트워크 표준에 대한 규정 준수를 보장 비즈니스 성장을 지원하기 위해 네트워크 용량 계획, 하드웨어 교체, 소프트웨어 유지보수를 포함한 수명 주기 활동을 관리 자격 요건 대규모 엔터프라이즈 네트워크 설계, 기획, 구축 및 운영 관련 경력 최소 10년 이상 보유하신 분 통신 프로토콜(TCP/IP 등), 라우팅 프로토콜(예: BGP, OSPF), 스위칭 기술에 대한 심도 깊은 이해와 탄탄한 배경 지식을 보유하신 분 Cisco 및 Juniper (HPE) 엔터프라이즈 스위칭 및 무선 인프라 기술에 대한 전문성을 보유하신 분 엔터프라이즈 보안 및 네트워크 인프라 솔루션(Fortinet/Palo Alto/Zscaler 방화벽 및 VPN, Cisco ISE, DHCP 등)의 설계 및 운영 경험을 보유하신 분 네트워크 진단/모니터링 도구를 활용한 데이터 기반의 분석 능력을 갖추고, 복잡한 기술 개념을 명확한 문서로 작성할 수 있는 역량을 보유하신 분 예리한 문제 해결 능력 및 크리티컬 이슈 발생 시 위기 관리 능력을 갖추신 분 내/외부 이해관계자 및 글로벌 벤더와의 원활한 협업을 위한 강력한 커뮤니케이션 스킬을 보유하신 분 글로벌 팀과 영어로 기본적인 업무 커뮤니케이션이 가능하신 분 전국적으로 분산된 풀필먼트 센터 및 딜리버리 센터로의 출장 및 이동에 제약이 없으신 분 수동 네트워킹 기술 및 구조화된 케이블링 인프라에 대한 좋은 지식을 보유하신 분 우대 사항 컴퓨터 공학, 정보 기술, 전자 공학 등 관련 분야 학사 이상의 학위 보유자로서 해당 직무 경력 15년 이상이신 분 다국적 팀/해외 멤버들과의 협업 경험이 풍부하고, 문화적 다양성에 대한 이해와 유연한 태도로 프로젝트를 성공적으로 이끈 경험이 있으신 분 Python 스크립팅, Ansible 등을 활용한 네트워크 자동화 설계 및 운영 역량을 보유하신 분 CCNP, JNCIP, CCIE, JNCIE 또는 이에 준하는 전문 자격증을 보유하신 분 물류 네트워크 환경(Logistics network environments)에서의 업무 경험이 있으신 분 네트워크 프로젝트 관리 원칙에 대한 탁월한 지식을 보유하신 분 전형 절차 및 안내 사항 전형 절차 서류전형 - 1차 면접 - 2차 면접 - 최종 합격 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고 사항 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy/ 서류 반환 정책 본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 ( recruitingops@coupang.com ) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다. Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview We are seeking a highly skilled Staff Network Engineer to design, plan, deploy, and maintain a secure and efficient enterprise network infrastructure supporting our Fulfillment Centers (FCs), Camps, and Data Centers. In this role, you will serve as a senior technical leader within the network team, driving solutions for complex network issues and optimizing the environment for our users and customers. The ideal candidate must possess exceptional problem-solving abilities, crisis management skills, and strong cross-functional collaboration capabilities. As our logistics infrastructure is geographically distributed, this position requires flexibility for business travel and onsite visits, alongside a solid command of English to seamlessly collaborate with global teams and vendors. What You Will Do Design, plan, implement, and maintain enterprise network infrastructure (LAN, WLAN, WAN, and Network Security) supporting Fulfillment Centers (FCs), Camps, and Data Centers. Partner with FC Design teams to develop scalable, resilient, and cost-optimized network architectures. Collaborate with Automation, Robotics, FC Operations, Infrastructure, Security, and other IT teams, as well as external vendors, to understand business requirements and deliver effective network solutions. Lead technical response and drive resolution during critical incidents, outages, and complex network, wireless, WAN, or security-related issues (Crisis Management & Troubleshooting). Deeply analyze network performance, availability, and traffic data to proactively prevent potential issues and continuously optimize infrastructure. Author and maintain high-quality technical documentation, including network standards, architectural blueprints, operational guides, and Root Cause Analysis (RCA) reports. Support the deployment, integration, and operational management of automation, robotics, warehouse systems, and enterprise applications within a secure network environment. Manage network lifecycle activities, including capacity planning, hardware refreshes, and software maintenance to support growing businesses. Ensure compliance with security, software, operational, and global network standards across all infrastructure. Provide mentorship, technical guidance, and training to team members and junior engineers. Basic Qualifications 10+ years of industry-related experience designing, planning, deploying, and operating large-scale enterprise networks. In-depth understanding of communication protocols (mainly TCP/IP), routing protocols (e.g., BGP, OSPF), switching technologies, and network security. Expertise in Cisco and Juniper (HPE) enterprise switching and wireless infrastructure technologies. Hands-on experience designing and operating enterprise security and network infrastructure solutions (Fortinet/Palo Alto/Zscaler Firewalls and VPNs, Cisco ISE, DHCP, etc.). Strong data-driven analytical skills using network diagnostic/monitoring tools, with the ability to translate complex technical concepts into clear documentation. Sharp troubleshooting skills under high-pressure environments and proven crisis management capabilities. Strong stakeholder management and communication skills to work effectively with internal teams and external global vendors. Ability to communicate business-level English and Korean Willingness and ability to travel to geographically distributed Fulfillment Centers and Camps without restrictions. Good knowledge of passive networking technologies and structured cabling infrastructure. Preferred Qualifications 15+ years of relevant experience, with a Bachelor’s degree or higher in Computer Science, Information Technology, Electronic Engineering, or a related field. Proven experience collaborating with multinational teams or overseas members, possessing cultural adaptability and a flexible mindset to drive global initiatives to success. Proficiency in network automation design and implementation using Python scripting, Ansible, or similar tools. CCNP, JNCIP, CCIE, JNCIE, or equivalent industry certifications. Prior experience working in a logistics network or warehouse operation environment. Excellent knowledge of network project management principles. Recruitment Process and Others Recruitment Process Application Review - 1st Interview - 2nd Interview - Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director of Partner Solutions Architects, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Ensure the successful onboarding, training, enablement, and certification of partner technical resources; Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams; Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices; Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution; Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities; Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities; Continuously help curate and evolve lead/best practices for Datadog platform adoption and success. Who You Are: Possess a solid technical grounding with hands-on experience of IT Development and/or Operations Has a demonstrable track-record and never-ending passion for learning; successful candidates for this position typically have 10-15 years of experience in a customer or partner facing technical role A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom; Confident presentation skills Native-level Korean proficiency (written and spoken) is required, as you will be communicating directly with partners in Korea Desired hands-on experience in two or more of the following areas: Observability: Datadog, Splunk, AppD, New Relic or Dynatrace Public Cloud: AWS, Azure, GCP, or Alibaba Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go Config Mgmt: Terraform, Ansible, Puppet, Chef CI / CD: Jenkins, Gitlab Bonus Points: Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.) Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM) Previous experience with root-cause-analysis, troubleshooting, debugging Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Best-in-breed onboarding Generous global benefits Intra-departmental mentor and buddy program for in-house networking New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing An inclusive company culture, able to join our Community Guilds and Inclusion Talks Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

As Datadog’s in-house product experts, the Technical Escalation Engineering (TEE) team plays a critical role in driving our global success. We enable our customers, from the world’s most innovative startups to the largest enterprises. Through deep technical expertise, relentless problem-solving, and exceptional customer engagement, we educate, guide, and troubleshoot, delivering high-impact solutions that shape the customer experience. Whether through hands-on technical call, in-depth fact findings meeting, or complex investigations, we set the gold standard for technical excellence and customer advocacy. As part of our TEE team, you’ll tackle the most challenging technical problems, collaborate directly with Engineering and Product to refine and evolve our platform, and mentor teams worldwide, elevating the technical bar at every level. As part of the Technical Escalation Engineering (TEE) team, you’ll operate at the heart of Datadog’s ecosystem, working at the intersection of Technical Solutions, Engineering, Product, and our Customers. Every challenge you take on will directly impact the performance, scalability, and success of both our clients and our platform. You’ll be in an environment that moves fast, challenges you daily, and rewards curiosity, ownership, and technical excellence. This is your chance to shape the future of observability and security, driving innovation, mentoring teams, and influencing product direction while witnessing your expertise make an immediate and lasting impact. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Develop deep technical expertise and continuously learn as the product evolves. Investigate complex escalations, lead high-stakes technical calls, and drive solutions for our most critical customer challenges with urgency and precision. Run engaging office hours, deliver impactful learning sessions, and mentor the Global Support Engineering team (GSE), ensuring they’re equipped to handle any challenge. Partner with Engineering and Product to proactively identify gaps, drive improvements, and advocate for customers in shaping the evolution of our platform. Become a trusted resource on Real User Monitoring, handling escalations, guiding troubleshooting, and driving resolutions. Lead investigations into session-related issues, telemetry gaps, SDK behavior inconsistencies, or performance metrics anomalies. Partner with Product and Engineering to escalate issues, validate improvements, and influence the roadmap based on real-world use cases. Contribute to internal tooling, playbooks, and enablement resources that scale RUM knowledge across the Solutions team. Grow your expertise in platform-specific behavior (e.g., JS frameworks, native mobile SDKs) while keeping a strong focus on holistic end-user experience. Who You Are: A self-driven problem solver with an obsession for excellence and continuous learning. You thrive in ambiguity, take initiative, and push beyond expectations. A strategic thinker who defaults to a client-centric approach, proactively identifying opportunities to enhance customer experience while balancing technical feasibility. An independent, fast learner, capable of picking up new technologies, adapting to evolving priorities, and crafting innovative solutions to complex technical issues. A collaborator and mentor, who enjoys sharing knowledge, raising the technical bar for the team, and contributing to a culture of excellence. Passionate about end-user experience and observability, with a solid understanding of how performance, behavior, and telemetry connect across web and mobile platforms. Familiar with client-side instrumentation and telemetry collection, whether it’s through browser-based SDKs or mobile app integrations. Comfortable investigating issues like missing sessions, incorrect tagging, data sampling, or signal noise across different runtime environments. Analytical and resourceful, capable of reproducing customer environments and digging into logs, SDK behavior, and performance patterns. Eager to grow deeper expertise in either web or mobile RUM, with a strong foundation and the mindset to learn both. Computer Science or Engineering majors Experienced in using Zendesk, Jira, Confluence, or similar softwares. Familiarity with Datadog, integrations ecosystem, or similar observability platforms is a strong plus. Datadog values people from all walks of life. We understand not everyone will meet all the below qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Generous and competitive benefits New hire stock equity (RSUs) and employee stock purchase plan Continuous career development and pathing opportunities Product training to develop an in-depth understanding of our product and space Best in breed onboarding Internal mentor and buddy program cross-departmentally Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

As a Commercial & Mid-Market Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility Deliver product and technical briefings / presentations to potential clients Maintain accurate notes and feedback in CRM regarding customer input both wins and losses Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape Who You Are: Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc. Someone with a minimum of 3+ years in a Sales Engineering, Software Engineering DevOps, SRE or Security Engineering role. Someone with a minimum of 5+ years in IT industry Experience building and operating DevSecOps frameworks is a plus Experience explaining penetration testing findings and newly identified vulnerabilities to backend teams, and collaborating with them to determine remediation strategies is a plus Comfortable with frequent travel to meet customers as a regular part of the role Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Best-in-breed onboarding Generous global benefits Intra-departmental mentor and buddy program for in-house networking New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing An inclusive company culture, able to join our Community Guilds and Inclusion Talks Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

FEQ427R92 As a Specialist Solutions Architect (SSA) - Data Warehousing, you will guide customers in their cloud data warehousing transformation with Databricks which span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large-scale data warehousing technologies and lakehouse architecture. SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning evaluations, architecture design, and production migration planning. The impact you will have: Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads - ranging from evaluation to architecture design to production deployment Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production Provide tutorials and training to improve community adoption (including hackathons and conference presentations) Contribute to the Databricks Community What we look for: 5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, query conversion, debugging MPP data warehouses or other big data solutions, or migration workloads from EDW or other systems Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics,, MPP, and OLAP Deep Specialty Expertise in at least one of the following areas: Experience scaling large analytical data warehouse workloads in the cloud that are performant and cost-effective Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools Experience migrating on-premise EDW workloads to the public cloud Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Production programming experience in SQL and Python, or Java for developing UDFs Experience with the AWS, Azure, or GCP clouds 2 years professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, Snowflake, OLAP & OLTP workloads) 2 years customer-facing experience in a pre-sales or post-sales role Can meet expectations for technical training and role-specific outcomes within 6 months of hire Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience Native proficiency in Korean is a must, and business-level English is preferred Nice to have: Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ427R142 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. This position will report to Director, FDE in Korea. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 7+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Language Proficiency: Native-level fluency in Korean and professional working proficiency in English (both written and verbal). About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ427R422 As a Sr.Manager, Field Engineering, you will build and lead a team of pre-sales Solutions Architects focusing on your assigned accounts for the Korean market. Your experience partnering with the sales organization will help close revenue with the right approach whilst coaching new sales and pre-sales team members to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles; and build relationships with key stakeholders in customers' companies. You will report to the Director, Field Engineering based in Korea. The impact you will have: Manage hiring, building the pre-sales team of Solutions Architects Rapidly scale the designated Field Engineering segment organization without sacrificing quality Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork, and diverse culture Support increase Return on investment of SA involvement in sales cycles by 2-3x over 18 months Promote a solution and value-based selling field-engineering organization Display an understanding of business needs and revenue potential for accounts in the assigned region Build Databricks' brand in partnership with the Marketing and Sales team What we look for: Experience in a Pre-Sales Manager role in developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals Have experience scaling and mentoring field and technical teams from scratch both onshore and offshore teams. Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models Great at instituting processes for technical field members to improve efficiency Background experience in Data Architecture such as Data Lake, Data Engineering / Data Warehouse technologies or Data Science Native level Korean required; business‑level English strongly preferred About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects (SSA’s) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations. The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams, which are responsible for developing and overseeing the overall technical account strategy. Reporting to the Director, Field Engineering. The impact you will have: You will hire, train, and grow a diverse team of Specialist Solutions Architects for Databricks, a company in hyper-growth mode Exceed your region's consumption targets - by working with your cross-functional counterparts to determine where to deploy your team of technical experts to drive the most critical use cases forward Make your customers extremely successful with Databricks and provide outsized value to their businesses Establish relationships across the business to make your customers and team successful Grow Databricks Platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota Create positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners Help resolve customer questions and concerns on accounts and opportunities deemed strategic by Sales and Pre-sales field leadership Act in a supportive manager capacity, including handling escalations, mentoring team members, building a career path for the assigned team members, etc. What we look for: 5+ years of experience leading Data & AI Engineering teams, technical pre-sales and/or post-sales teams, with a proven track record in the management of elite technical individual contributors. 5+ years of hands-on experience in developing data solutions with highly technical platforms (e.g., distributed computing, cloud data warehousing, MLOps, Generative AI infrastructure). Strong skillset in technical discovery, architecture design validation, structured proof-of-concept (POC/MVP) management, and value-selling frameworks. Trusted advisor to technical executives who guide strategic data infrastructure decisions Team player, but able to challenge and define priorities. Self-starter, challenger, strategic planner & analytical thinker. Experience hiring qualified candidates, ramping them up to be successful, and promoting into larger roles. Experience working with other teams such as Sales, Product Management, and Forward Deployed Engineering teams. Native proficiency in Korean is a must and business level English is preferred About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

P-1570 At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! This is a Hybrid role, based in Seoul, Korea. The impact you will have: Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. Develop customer relationships and build internal partnerships with account executives and teams. Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s). Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth. Native level in Korean is required, and proficiency in English is a plus About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ327R69 As a Specialist Solutions Architect (SSA) for Security, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on experience supporting customer security teams through security reviews for data platform adoption. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality. The impact you will have: Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices including automation Architect security solutions and reference architectures that meet customers’ security requirements Provide technical expertise in cloud infrastructure and security relating to our Databricks Intelligence Platform Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, security review, and custom architectures Improve community adoption (through tutorials, training, hackathons, conference presentations) Contribute to the Databricks Community and act as a technical SME. What we look for: 5+ years of experience in Pre-sales or post-sales working with external clients across a variety of industry markets Experience designing, building, and managing modern data governance for a modern data platform 3+ years of experience designing cloud infrastructure and services, such as AWS, Azure, or GCP, applying best practices in cloud security and networking, including: Designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity). Architect production cloud networks for data and AI workloads, including segmentation and routing, data exfiltration prevention, and performance/reliability Identity & Access Management (e.g. role-based access control, using the principle of least privilege, integration with IdPs, etc) Experience supporting customers in designing and implementing a security lakehouse/security data platform on Databricks to augment SIEM, enable security analytics and threat hunting, and build advanced detections. Hands-on experience with cloud infrastructure automation (e.g. Terraform or cloud-specific resource management tools like ARM, CloudFormation, etc). Deep knowledge of development tools and best practices for engineers including CI/CD, unit and integration testing, plus automation and orchestration Native proficiency in Korean is a must, and business-level English is preferred Nice to have: Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT THE ROLE We are seeking a proactive, customer-focused IT Support Specialist based in South Korea to anchor our regional IT operations across the APAC time zone. In this role, you will be the primary point of contact for internal employees, delivering white-glove technical support while managing core identity, collaboration platforms, and SaaS systems. Beyond day-to-day helpdesk operations, this position bridges traditional IT support and modern systems engineering. You will leverage automation, scripting, and modern DevOps practices to streamline user lifecycles, eliminate manual toil, and ensure our workforce operates securely and efficiently. Key Responsibilities - Serve as the first point of contact for internal employees, triaging incoming requests through the ticketing system and established support processes. - Troubleshoot and resolve workstation, laptop, mobile, and basic network issues for on-site staff and remote employees, escalating more complex support cases to senior staff or the appropriate team. - Deliver calm, clear support during high-priority incidents, keep users informed, and document work thoroughly through to resolution. - Manage end-to-end employee onboarding and offboarding workflows, ensuring zero-day access provisioning, hardware readiness, and secure offboarding compliance. - Build and maintain support procedures and employee-facing knowledge base articles so common issues are handled consistently. - Partner with business units as a go-to support contact and communicate clearly, in writing and in person, across the organization. - Support new-hire onboarding and offboarding, including device setup, access requests, and day-one readiness. - Track hardware inventory and coordinate on device replacements and repairs. - Assist with password resets, MFA, email, and common productivity-tool issues so employees can get back to work quickly. - Provide hands-on support for printers, peripherals, and meeting-room technology when on-site help is needed - Stay eager to learn, take on special projects, and grow into broader IT support responsibilities. Qualifications - Professional proficiency in English, and Japanese or Korean. - 5+ years of experience in help desk, internal IT support, or a similar technical support role. Experience in a fast-paced or global team is a plus. - Strong experience with supporting user accounts, password resets, MFA, and SSO, specifically with Okta and Google Workspace. - Experience with Mobile Device Management (MDM) platforms such as Iru (macOS) and Microsoft Intune (Windows). - Basic understanding of networking fundamentals (TCP/IP, DNS, Wi-Fi, and VPN), with familiarity supporting UniFi/Ubiquiti equipment a plus. - Comfort supporting employees in Slack and other everyday collaboration tools such as Microsoft Office 365 (channels, apps, notifications, and common access issues). - Strong written and spoken English, with the ability to explain technical issues clearly to both technical and non-technical colleagues across international teams. - A patient, helpful, solutions-oriented approach to supporting internal staff, with a commitment to follow-through and a positive experience for every request. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.