Director Product Management

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass authenticity thrives bold ideas are welcome and everyone can bring their unique selves to work every day. Were in this together sustaining the future of our customers our company and our planet.

Join a team of passionate thinkers innovators and dreamers and help us connect people and build communities to create economic opportunity for all.

Director Product Management Product Knowledge
Build the DataPowered AIDriven Future of Product Discovery

About the Role
Were on a mission to redefine how people discover explore and connect with products onlineand we need a visionary product leader to take us there.

As Director of Product Management youll lead the strategy and for our Product Knowledge and Catalog Platformthe intelligence layer that powers everything from search and recommendations to personalization and generative AI. Youll shape how structured data AI/ML and LLMs come together to build scalable magical and deeply relevant customer experiences at massive scale.

Youll work at the heart of a highperforming crossfunctional teamcollaborating with AI researchers data scientists and engineers to build the foundational data products that power discovery for millions of users.

This is a rare opportunity to lead in a highagency startupstyle environment with the resources and reach of a global platform.

What Youll Own

• Catalog Intelligence at Scale
  Lead the development of robust intelligent and flexible catalog systems. Create automated scalable ways to structure enrich and normalize product data across categories and geographies.

• Vision for Product Knowledge
  Define and own the product vision for taxonomy ontology metadata and knowledge graphs that power our search and AI platforms.

• Build Magical Data Products
  Launch internal tools and APIs that feel like magicpowerful intuitive and built with scale and automation in mind. Make structured data work harder and smarter across all surfaces.

• Power Discovery Through AI & LLMs
  Partner with AI and data science teams to use LLMs embeddings and prompt engineering for entity resolution classification and content enrichmentfueling delightful discovery.

• Design for Relevance & Impact
  Focus relentlessly on customer experienceensuring your products make search more relevant recommendations smarter and exploration more intuitive.

• Drive Product Excellence
  Define metrics establish feedback loops and iterate quickly. Marry technical depth with customer empathy to shape products that solve real problems beautifully.

• Collaborate to Deliver
  Partner across Product Engineering AI/ML Trust and Catalog Ops to launch products that are both deeply technical and profoundly usercentered.

What Were Looking For

• 12 years of product management experience with 5 years leading teams in platform data or AIdriven environments

• Proven track record building structured data platforms knowledge systems or eCommerce catalog infrastructure

• Strong understanding of taxonomy metadata strategy and product classification

• Experience working with AI/ML teams including familiarity with LLMs and semantic search (a plus)

• A bias for scalable solutionsyou know how to build for today and architect for tomorrow

• Obsession with relevance automation and magicyou craft products that delight both internal and external users

• Strong communicator with a track record of crossfunctional leadership and influence

• Comfort working in fastpaced iterative environmentsyou thrive in ambiguity and move with urgency

Why Youll Love This Role

• Build the backbone of product discovery for one of the worlds largest eCommerce platforms

• Lead a portfolio that touches AI structured data and realtime customer experience

• Create scalable systems that drive magical user experiences at global scale

• Work with worldclass teams in AI/ML data science and engineering

• Enjoy high ownership fast and a culture that values bold ideas and real impact

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