Group Product Manager, Product Knowledge

At eBay, we're more than a global ecommerce leader — we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're 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. We're 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.

Job Description 

• Looking for a company that inspires passion, courage, and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you're interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with.

• We're on a mission to build the most intelligent and scalable product knowledge system in eCommerce, powered by AI, structured data, and next-gen taxonomy/ontology strategies.
  We're looking for a Group Product Manager who thrives at the intersection of structured data, AI/ML, and search optimization—someone who can define the strategy, drive execution, and collaborate deeply with AI, data, and engineering teams to improve how millions of customers discover products.
  In this high-agency, startup-like role, you'll own and scale the AI-driven product knowledge ecosystem, ensuring our taxonomy, ontology, and catalog data power better search, recommendations, and personalization experiences
  
  We are seeking a Group Product Manager, who is passionate about data, search, recommendation, online commerce, AI/ML, generative AI, LLMs, and buyer experience, to lead the Product team. The candidate should be comfortable dealing with ambiguity and have experience defining requirements, driving cross team collaboration, and communicating with executives. In this role, you will work with product managers, engineers, applied researchers, user researchers, designers, and analytics teams to define solutions and make data-driven decisions. This person will be responsible for leveraging generative AI technology to revolutionize Product Knowledge based application cutting across Search, Recommendations and Personalized experiences for eBay to ensure the success of our AI-based features.
   

Responsibilities:

• Define, implement & own the Product Strategy and Roadmap for products powered by generative AI that will cut across the Product Knowledge organization powering applications across the e-commerce application stack - from retrieval to ads to experiences

• Translate product strategy into clear and concise specifications, make functional and user interface design tradeoffs, handle product launches, and lead the product successes post-launch.

• Data driven product decisions with a balance of near-term deliverables and longer-term investment in technology platforms

• Communicate strategies and trade-offs up to senior leaders and down to development teams

• Put the customer first, understand market specific nuances, and identify algo improvements to address unique user & application specific needs

• Drive collaboration across multiple teams to ensure teams are aligned and are working towards solving customer problems

• Drive A/B testing to identify launch candidates that improve organizational goals

• Define key metrics and evaluation frameworks to track the impact of structured data improvements on search, recommendations, and personalization.

• Deeply Integrate with AI/ML Teams – Work hand-in-hand with AI, data science, and engineering to build scalable, automated solutions for listing classification and aspect intelligence and listing annotation

Preferred qualifications:

• 10+ years with a strong track record product management experience, having previous experience building customer centric products

• 6+ years of experience in AI/ML product management with specific emphasis on knowledge graphs, a 2+ of years of experience in GenAI and using LLMs to drive business outcomes

• Strong understanding of product classification, metadata structuring, and entity resolution techniques.

• Experience optimizing product search, recommendations, and structured navigation.

• Technical Comfort – Familiarity with SQL, APIs, data pipelines, and AI/ML workflows.

• A proven track record building new, innovative, and engaging customer experiences informed by customer data from various sources (market research, A/B testing, user research)

• Strong analytical skills with the ability to use data to back up assumptions, recommendations, and drive decision making

• Technically savvy (prefer a technical role in past, or Computer Science Degree)

• Passionate advocate for user

• Demonstrated leadership ability, self-motivated and directed, entrepreneurial ability to innovate quickly

• Excellent written and verbal communication skills

Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at  We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.