Agentic Analytics Products Developer

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

Help us build the next generation of AI-first analytics — tools that let anyone explore data insights, visualize results instantly, and understand the “why” behind the numbers. You’ll work across the stack, from React dashboards to analytical APIs, with a focus on insight delivery, data storytelling, and evidence-based decision-making. You’ll bridge UX, data, and AI so that human questions become data-grounded answers in seconds.

What you’ll do

• Design analytical experiences: build intuitive React interfaces for exploring data, comparing metrics, and visualizing trends and causal drivers.
• Integrate AI-assisted analysis: connect front-end workflows to agentic pipelines that query, aggregate, and explain.
• Develop insight APIs: design FastAPI endpoints that return summaries, charts, and AI-powered diagnostics ready for human review or automation.
• Evaluate analytical quality: define success metrics such as relevance and latency; run tests to improve model-driven insights.
• Ensure interpretability: surface the underlying queries, data sources, and assumptions behind each result so users can validate and trust insights.
• Collaborate widely: partner with data science, PMs, and analytics to define metrics, shape evaluation frameworks, and iterate on user feedback.
• Maintain excellence: write tests, monitor performance, and ensure each release improves speed, clarity, and analytical correctness.