Product Manager-Product Knowledge

eBay

2 - 7 years

3 - 8 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

product management supervisor metadata usage data science analytical focus e-commerce sql testing

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.

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