Group Product Manager, Buyer Relevance
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Key skills for this role
About the Role
eBay is looking for a Group Product Manager to lead the Buyer Relevance team, focusing on search, recommendations, and AI/ML-driven retrieval. You will define strategy for query understanding, personalization, and relevance across all buyer surfaces.
Key Skills for This Role
Responsibilities
- Define and drive the strategy for relevance across every Buyer Surface, including Search, Home Page, Recommendations, CRM, post checkout, Organic and Sponsored listings.
- Craft the evolution of the Buyer experience with high relevance and optimization.
- Partner with Applied Researchers and Engineering to build and scale embedding based classifiers, query understanding pipelines, triggering mechanisms and retrieval frameworks, including vector based retrieval (text & multi modal) and hybrid search.
- Use metrics, experimentation, and user research to find opportunities, validate impact, and continuously improve.
- Define KPIs for search quality, including relevance, recall, and precision, and ensure measurable improvements through A/B tests.
- Build foundational systems for query understanding, triggering, slotting, and ranking that empower relevance for vertical product teams.
Requirements
- 10+ years of product management experience with a strong focus on systems powered by machine learning, search technologies, or natural language understanding
- Proven expertise in ML classifiers, embeddings, LLMs, and related AI technologies
- Strong analytical and critical thinking skills, with a data informed decision making approach
- Track record of cross functional leadership, driving alignment across engineering, science, product, and business teams
- Represent the product area to senior executives and cross functional leaders, providing updates on roadmap progress, competitive landscape, and innovation opportunities
- Evangelize the role of Retrieval & Relevance in enabling elite search, recommendations & discovery experiences across the company’s ecosystem
Full Job Posting
About The Team And The Role
- The team at eBay is responsible for the science algorithms powering Retrieval & Relevance across all surfaces on site: Search, Home Page, Recommendations, CRM, post checkout etc. and drives a large part of eBay’s core marketplace business.
- We are seeking a Group Product Manager who is passionate about Relevance, online commerce, AI/ML, generative AI, LLMs, and buyer experience.
- This role will join the Science product team and lead efforts related to interpreting user queries and Retrieval.
What You Will Accomplish
- You will define and drive the strategy for relevance across every Buyer Surface, including Search, Home Page, Recommendations, CRM, post checkout, Organic and Sponsored listings.
- You will be crafting the evolution of the Buyer experience with high relevance and optimization.
- Partner with Applied Researchers and Engineering to build and scale embedding based classifiers, query understanding pipelines, triggering mechanisms and retrieval frameworks, including vector based retrieval (text & multi modal) and hybrid search.
- Use metrics, experimentation, and user research to find opportunities, validate impact, and continuously improve.
- Define KPIs for search quality, including relevance, recall, and precision, and ensure measurable improvements through A/B tests.
- Build foundational systems for query understanding, triggering, slotting, and ranking that empower relevance for vertical product teams.
What You Will Bring
- 10+ years of product management experience with a strong focus on systems powered by machine learning, search technologies, or natural language understanding.
- Proven expertise in ML classifiers, embeddings, LLMs, and related AI technologies.
- Strong analytical and critical thinking skills, with a data informed decision making approach.
- Track record of cross functional leadership, driving alignment across engineering, science, product, and business teams.
- Represent the product area to senior executives and cross functional leaders, providing updates on roadmap progress, competitive landscape, and innovation opportunities.
- Evangelize the role of Retrieval & Relevance in enabling elite search, recommendations & discovery experiences across the company’s ecosystem.
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