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About the RoleWe’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 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.
What You’ll Do
Define & Implement Product Knowledge Strategy – Own the roadmap for taxonomy, ontology, structured data, and knowledge graph initiatives, aligning with AI/ML and Product teams.
Drive AI-Powered Taxonomy & Ontology Development – Partner with data scientists, engineers, and analysts to build, test, and scale ML-driven classification, entity resolution, and knowledge graph models.
Improve Search & Product Discovery – Ensure our structured product data directly enhances search relevance, filtering, and recommendation algorithms.
Develop & Enforce Data Standards – Lead governance for taxonomy updates, structured metadata, and attribute standardization, ensuring a scalable and accurate catalog.
Enable LLMs for Product Knowledge – Work with AI teams to develop LLM-powered solutions for automated tagging, classification, and enrichment.
Measure & Iterate – 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 product classification and catalog intelligence.
Product Leadership in Data/AI – 10+ years in product management, ideally in eCommerce, search, recommendations, or AI-driven product knowledge systems.
AI & Data Fluency – Experience working with ML models, knowledge graphs, LLMs, and structured data strategies to drive business outcomes.
Taxonomy & Ontology Expertise – Strong understanding of product classification, metadata structuring, and entity resolution techniques.
Search & Discovery Focus – Experience optimizing product search, recommendations, and structured navigation.
Technical Comfort – Familiarity with SQL, APIs, data pipelines, and AI/ML workflows.
High-Agency & Execution-Driven – Startup-like attitude with the ability to drive cross-functional alignment, influence without authority, and deliver results fast.
Strong Analytical & Communication Skills – Ability to translate data-driven insights into clear product strategies.
Shape the AI-powered future of eCommerce product discovery.
Be at the forefront of AI-driven taxonomy, ontology, and knowledge graph development.
Work in a high-agency, startup-like culture where your decisions directly impact millions of users.
Collaborate with ground breaking AI/ML teams to redefine structured data for eCommerce.
Drive innovations that enhance search, personalization, sellingg and product discovery.
Additional Details
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 [email protected]. 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.
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