Ebay Sr. Product manager - Taxonomy Catalog 

India, Karnataka, Bengaluru 

195080976

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 – 6-8+ 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.

• 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.

This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.