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.

Analytics is undergoing a fundamental shift, from traditional data science toward AI-driven analytics product development. As business intelligence evolves into intelligent, AI-powered tooling, we are looking for someone eager to help lead this transformation.

This role sits at the intersection of analytics, product, and AI. You will play a key part in reimagining our Business Intelligence ecosystem as a suite of AI-native applications, stepping into the role of an AI Analytics Product Manager.

We are building toward a future where business and product teams can diagnose performance, uncover insights, and take action through AI-enabled experiences. If you’re motivated to move beyond analysis into productizing intelligence and want to shape how eBay interacts with data in the AI era, this is an opportunity to be at the forefront of that journey.

About the role

Join us to design and operate the data and intelligence layer that powers agentic analytics — AI systems developed by the Data Science Analytics org that turn questions into grounded, actionable insights. You’ll focus less on generic API plumbing and more on data quality, explainability, and analytical correctness. Your work ensures every answer is traceable to its data source, statistically sound, and interpretable by both humans and machines. You’ll design pipelines that retrieve, validate, and summarize data — transforming raw facts into narratives that drive decisions across eBay.

What you’ll do

Build data intelligence services: design FastAPI endpoints that expose metrics, diagnostics, and insights as composable analytical functions.
Operationalize data access: connect to warehouses and lakes, generate efficient SQL or DuckDB queries, and design Parquet pipelines that surface clean, ready-to-analyze data.
Enable analytical reasoning: support retrieval-augmented generation and grounding so that every AI-produced statement can be backed by verifiable numbers, tables, or queries.
Improve insight reliability: define schemas, metadata, and lineage that make it clear where data came from, how it was transformed, and what assumptions were applied.
Measure analytical performance: instrument pipelines with metrics for latency, cost, freshness, accuracy, and coverage; define thresholds that balance insight quality with compute efficiency.
Partner across disciplines: work with data scientists, AI developers and Analytics Product Managers to implement analytics products.
Ensure compliance and governance: implement privacy-aware joins, role-based access, and redaction of PII while maintaining analytical reproducibility.

Must-have

3+ years building analytics pipelines, APIs, backend-for-frontend and insight-serving systems.
Deep understanding of SQL, data modeling, query optimization, and columnar formats (Parquet, DuckDB).
Experience turning analytical logic (diagnostics, KPIs, A/B metrics) into reusable services or models.
Familiarity with LLM/agent integrations for analytics (structured tool calls, grounded outputs).
Strong observability mindset — tracking data freshness, success rates, and cost per insight.
Commitment to data accuracy, reproducibility, and explainability.

Nice to have

Background in applied AI, data science Analytics, BI, or experimentation platforms.
Exposure to LLM prompt optimization and human evaluation.
Experience in software deployment (e.g. Kubernetes).

Success looks like

Analytical agents return accurate, well-cited insights that analysts trust. Every metric and narrative is explainable, reproducible, and performant — meeting SLAs for latency and accuracy without sacrificing interpretability.

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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