Group PM - Product Knowledge

Reposted 11 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Expert/Leader
eCommerce • Retail
The Role
The role involves defining and implementing product knowledge strategies, driving AI taxonomy and ontology development, improving search and product discovery, and collaborating with AI, data science, and engineering teams to enhance product knowledge ecosystems.
Summary Generated by Built In

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.

About the Role

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 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.

 What We’re Looking For
  • 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.

Why Join Us?
  • 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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Skills Required

  • 10+ years in product management
  • Experience with ML models and knowledge graphs
  • Strong understanding of product classification techniques
  • Experience optimizing product search
  • Familiarity with SQL and APIs

eBay Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eBay and has not been reviewed or approved by eBay.

  • Healthcare Strength Medical, dental, and vision coverage begin on the date of hire, complemented by mental health resources, an EAP, disability coverage, FSAs, and wellness initiatives.
  • Leave & Time Off Breadth A robust mix of PTO, paid holidays, flexible work styles, parental leave, and a four‑week paid sabbatical after five years supports work‑life balance.
  • Equity Value & Accessibility Total compensation commonly includes stock components, with access to an employee stock purchase plan at a discount and stock awards enhancing overall packages.

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The Company
HQ: San Jose, CA
26,035 Employees

What We Do

eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world. We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.

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