Ebay Data Operations Program Manager 

India, Karnataka, Bengaluru 

732799394

You’ll be embedded in the Product Knowledge org, shaping how we structure and optimize taxonomy, ontology, and catalog data for next-gen search, recommendations, and AI-driven experiences.

• Manage the activities and deliveries of teams of data tagging experts

• Collaborate with Science & Product teams to formulate guidelines for human judgement work

• Be responsible for a large number of run-the-business requests coming from multiplier channels in a global matrix organization

• Leverage LLMs for data labeling Solutions – Use prompt engineering techniques to create AI-driven approaches for taxonomy validation, data enrichment, and classification.

• Evaluate & Improve AI/ML Models – Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.

• Integrate with AI/ML Teams – Work closely with data scientists and engineers to test and refine AI-based classification, search ranking, and recommendation models.

Must haves:

• BA or BS degree

• 5+ Years of proven experience in program management or operations, particularly within e-commerce or other data-driven environments.

• Solid organizational skills with the ability to manage multiple projects simultaneously.

• Strong analytical skills with the ability to interpret data using SQL and, Excel/Sheets

• Excellent communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.

• Ability to adapt quickly to changes and drive continuous improvement initiatives.

Preferred Skills:

• Experience in developing and implementing operational strategies to enhance efficiency and effectiveness

• Product Analytics Attitude – Familiarity with eCommerce search, recommendations, and knowledge graph applications

• AI/LLM Experience – Hands-on experience with LLMs, prompt engineering

• Startup DNA – High agency, thrive in fast-paced, iterative environments with deep cross-functional collaboration.

• Build the AI-powered future of eCommerce product discovery.

• Move fast & own impactful projects in a startup-like, high-agency culture.

• Work directly with AI, Data Science, and Product teams to shape taxonomy & ontology strategies.

• Get hands-on with AI/ML in a real-world, high-scale environment.