At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re 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. We're 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 Role
At the intersection of
AI, data science, and product discovery
, we’re crafting the next generation of eCommerce experiences—and we’re looking for a dynamic leader to help make that vision real.
As
Manager of Data Science – Knowledge Management
, you’ll be a key architect behind the structured data that fuels search, recommendations, and AI-driven personalization. You’ll lead with both hands-on expertise and strategic insight, bridging the worlds of
LLMs, taxonomy, knowledge graphs, and scalable analytics
.
This is a
high-agency, high-impact role
embedded in our
Product Knowledge organization
, where you’ll drive meaningful innovation across catalog systems, metadata, and data-driven product experiences. If you thrive in a fast-paced, startup-like environment and are passionate about turning complex data into magical customer experiences, this is your stage.
What You’ll Lead & Deliver
Optimize Product Knowledge at Scale
Conduct deep analytical dives using SQL and Python to enhance taxonomy, ontology, and structured catalog data that directly impact product discovery.
Build LLM-Powered Solutions
Use prompt engineering and retrieval-augmented generation (RAG) to create scalable, AI-powered tools for classification, data enrichment, and catalog intelligence.
Design Model Evaluation Frameworks
Establish robust metrics and test beds to evaluate semantic search models, embeddings, and ML-powered classification systems.
Turn Data into Strategy
Translate insights into action by partnering with Product, Engineering, and AI teams—driving roadmap priorities for catalog optimization, entity resolution, and knowledge graph evolution.
Prototype & Experiment Rapidly
Move quickly to test ideas and validate structured data strategies. Build proof-of-concepts that can scale into enterprise-level solutions.
Partner for Production Impact
Collaborate closely with applied ML, engineering, and product teams to refine and operationalize AI models in real-world, high-scale systems.
What You Bring
7+ years of experience
in analytics, data science, or ML roles
Advanced proficiency in
SQL and Python
for analytics, automation, and experimentation
Familiarity with
eCommerce discovery
, product classification, and search or recommendation systems
Hands-on experience with
LLMs, prompt engineering, or RAG
(preferred but not required)
Strong grasp of
model evaluation
, including metrics design and benchmarking
A startup mindset—bias for action, high ownership, and comfort with ambiguity
Excellent communicator with the ability to
influence cross-functional stakeholders
Why You’ll Love It Here
Drive real impact at the
core of product discovery innovation
Work hands-on with
cutting-edge AI and data platforms
Collaborate with some of the best minds in
AI, Product, and Engineering
Own high-visibility projects in a
startup-like, high-trust culture
Build
scalable, magical, and relevant
product data systems used by millions
Additional Details
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at
talent@ebay.com
. We will make every effort to respond to your request for accommodation as soon as possible. View our
accessibility statement
to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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,
Privacy Center
, and
AI Hiring Guidelines
.
