Group Product Manager, Buyer Relevance

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass authenticity thrives bold ideas are welcome and everyone can bring their unique selves to work every day. Were in this together sustaining the future of our customers our company and our planet.

Join a team of passionate thinkers innovators and dreamers and help us connect people and build communities to create economic opportunity for all.

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 eBays 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. The focus is on delivering relevance throughout all buyer touchpoints on site end-to-end. Amongst other things this person will be responsible for using generative AI technology working across core Query Context and Intent Understanding building features that drive Retrieval and Relevance to ensure the success of our buyers.

As the Group Product Manager responsible for end-to-end Relevance you will define and execute the strategic vision for eBay Searchs Query Understanding capabilities classification systems product intent detection using a Multi dimensional ontology faceting trigger mechanism as well as query rewrites query suggestions spell corrections etc. This role blends deep technical skill in ML/NLU systems with strong partner and strategic leadership skills.

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 Researchersand 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 companys ecosystem.

Additional Details

This job posting relates to an existing vacancy within eBay.

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