Jobs at Coupang, Inc.

Leads Coupang’s company-wide software supply chain and developer platform organization. Owns secure, reproducible builds, dependency and artifact management, provenance, SBOMs, signing, vulnerability remediation, and automated upgrades. Sets long-term strategy, builds multiple engineering teams, develops senior leaders, establishes technical architecture, and drives adoption across a large polyglot codebase. The role balances security, reliability, developer productivity, cost, and platform transformation while influencing senior engineering and security executives.

Senior Director role focused on AI infrastructure leadership. The posting provides no substantive responsibilities, qualifications, or specific technical requirements; it consists primarily of internal-transfer instructions, company information, benefits, and placeholder compensation language.

Build and manage high-volume analytics and production ETL/ELT systems. Partner with Data Science, Engineering, and Product teams to ensure reliable Search data logging and usage. Own data quality, observability, security, compliance, SLAs, scalability, performance, and cost efficiency across the data lifecycle. The role requires expertise in Python, SQL, data modeling, distributed data technologies, massive datasets, and data pipeline optimization.

Leads data science strategy, advanced model development, experimentation, and production deployment across business, product, and operational functions. Builds and manages high-performing data science teams, translates ambiguous business problems into scalable solutions, partners with engineering and product leaders, and advises executives. Establishes best practices for model validation, monitoring, reliability, and scientific rigor while driving measurable business impact.

The posting is an incomplete internal transfer request for a Director of Machine Learning Engineering at Coupang. It provides company background, benefits, recruitment process, legal notices, and placeholder compensation information, but does not specify role responsibilities, qualifications, or technical requirements.

Leads architecture, integration, deployment, and production support for full-stack autonomous robotics systems. Develops robotics infrastructure, control orchestration, ROS2 middleware, WMS integrations, simulation and validation workflows, monitoring, observability, and edge-compute pipelines. Troubleshoots hardware-software issues, defines system performance targets, contributes to technical roadmaps, and mentors engineers. Requires extensive industrial robotics experience and expertise integrating sensors, actuators, software, middleware, simulation, and hardware.

Owns complex, company-wide technical programs across product, business, and engineering teams. Defines requirements, platform scenarios, roadmaps, and specifications; drives solutions through the full software development lifecycle; performs system and data analysis; improves data quality and customer feedback systems; and manages delivery, adoption, and performance across multiple organizations. Requires strong technical, business, analytical, communication, collaboration, and change-management skills.

Provides legal counsel for AI-powered products, reviewing technical specifications, assessing legal and regulatory risks, and guiding product development. Partners with engineering, product, security, privacy, and business teams to integrate legal requirements into product lifecycles. Leads company-wide AI reviews and helps establish scalable AI governance and product compliance processes. Requires a JD, at least seven years of legal experience, product counseling or AI governance experience, and knowledge of privacy, data governance, AI, and the EU AI Act.

Own the data science function for a core Search and Discovery area. Analyze customer interactions, improve search experience and business performance, lead experimentation, build analytical datasets, and evaluate machine learning ranking models and LLMs. The role requires strong statistical and coding skills, experience with massive datasets, and the ability to communicate insights to cross-functional stakeholders and executives.

Lead the architecture and implementation of a highly available distributed workflow engine for Coupang’s application infrastructure. Design durable execution, distributed state management, locking, timers, deterministic execution, and self-healing capabilities at global scale. Integrate AI/ML for predictive scaling and automated recovery while collaborating across teams to establish architectural standards and mentor engineers.

Design and scale offline and online machine learning infrastructure for Search & Discovery. Responsibilities include data logging and processing, ML training pipelines, data quality, real-time inference services, ranking systems, monitoring, and high-throughput data platforms processing billions of records and petabytes of logs. The role also requires cross-functional collaboration, technical leadership, research into difficult engineering problems, and mentoring other engineers.

Leads a team of data engineers building and managing high-volume analytics and production ETL/ELT systems for Search and Discovery. Partners with Data Science, Engineering, and Product to ensure reliable search data implementation and usage. Oversees data quality, observability, security, compliance, system performance, cost efficiency, scalability, and SLAs. Requires strong data engineering, distributed processing, storage, scheduling, Python, SQL, and people management experience.

Lead and grow an iOS and Android engineering team responsible for Coupang’s search and discovery mobile experiences. Set architecture and technical direction, collaborate with backend and machine learning teams, integrate ML-powered features, lead design reviews, and own performance, quality, and experimentation standards. Mentor engineers, improve team processes, and deliver high-impact features for a high-traffic e-commerce application.

Provides comprehensive administrative support to senior technology executives, including complex international calendar management, meeting coordination, team events, travel arrangements, expense reporting, presentations, shared resources, and special projects. The role requires strong organization, discretion, communication, prioritization, and independent judgment while managing competing priorities across global teams and time zones.

Leads company-wide, technically complex programs from strategy and planning through execution. Defines business requirements, analyzes systems and data, drives platform enhancements, and partners with engineering teams throughout the SDLC. Develops tools and processes, manages long-term goals, prioritizes initiatives, improves reliability and scalability, and presents insights to senior leadership. The role requires strong technical depth, analytical ability, communication, leadership, and execution in a fast-paced environment.

Leads Search and Discovery product strategy, vision, roadmap, OKRs, metrics, competitive benchmarking, and execution. Partners with business and technology stakeholders to improve search experiences using AI and machine learning. Performs data-driven analysis, aligns senior executives, drives cross-functional delivery, supports hiring, and mentors product managers. The role requires extensive ML product management experience, strong strategic and execution skills, and experience with search, ads, or large-scale ML systems.