Product Manager-Product Knowledge

Overview

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.

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 Product Manager-Product Knowledge 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 improves 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 metrics and evaluation frameworks to supervise 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.

What We’re Looking For

• Product Leadership in Data/AI – 2+ years in product management, ideally in eCommerce, search, recommendations, or AI-driven product knowledge systems.
• AI & Data Proficiency – Experience working with ML models, knowledge graphs, LLMs, and structured data strategies to drive business outcomes.
• Taxonomy & Ontology Expertise – Proven 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 – 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.

Why Join Us?

• Craft 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 improve search, personalization, selling and product discovery.

Key skills/competency

• Product Management
• Artificial Intelligence (AI)
• Machine Learning (ML)
• Structured Data
• Taxonomy/Ontology
• Knowledge Graphs
• Search Optimization
• Recommendations Systems
• Data Governance
• API Integration