Director, Product Management (Catalog)

About the role

Coupang's Catalog Team hosts billions of products and processes hundreds of millions of daily updates, powering the online buying experience for millions of customers. The Director of Catalog Product will use expertise in LLMs, Generative AI and advanced machine learning to design, build and scale a portfolio of AI-driven products, automation tools and catalog features. The role sets the vision and strategy for the Catalog platform and drives alignment across international senior stakeholders in South Korea, China and the US.

Key responsibilities

• Set the vision and strategic roadmap for the Catalog platform, applying LLMs and Gen AI to catalog auto-enrichment, dynamic attribute extraction, automated taxonomy classification, seller content optimization and fraud/quality detection.
• Lead the full product lifecycle from AI framework concepts to production in a continuous-deployment environment.
• Build structured roadmaps, make trade-off decisions and maintain high quality standards in a fast-moving environment.
• Drive executive alignment across Engineering, Data Science, Product, Operations and Infrastructure.
• Define metrics and automate tracking of performance, system precision and operational efficiency across billions of catalog entities.

Required profile

• 10+ years of product management experience launching innovative tech products at a tier-1 technology company.
• Proven track record applying LLMs, Generative AI and ML to large-scale e-commerce or marketplace applications.
• Ability to thrive in ambiguous, fast-paced settings and deliver high-quality results under tight timelines.
• End-to-end product leadership, including roadmaps, GTM strategy and complex technical design discussions.
• Experience managing technical direction for large-scale distributed systems and leading cross-functional teams internationally.

Required skills

• Deep understanding of the AI/ML software stack, model evaluation and LLM deployment at scale.
• Agile practices such as rapid prototyping, A/B testing and data-driven evaluation.
• Quantitative research, data analysis and metrics-driven product decisions.
• Solid grasp of multi-sided marketplace models, catalog architectures and pricing dynamics.