Ebay Product Manager-Product Knowledge India, Karnataka, Bengaluru 333374995
Share
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.
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.
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.
These jobs might be a good fit
