Agentic Analytics Products Developer

Job Summary

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 are 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.

What you will do and how you will contribute to building 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 will work across the stack, from React dashboards to analytical APIs, with a focus on insight delivery, data storytelling, and evidence-based decision-making. You will bridge UX, data, and AI so that human questions become data-grounded answers in seconds.

Responsibilities

Key skills (must-have)

Nice to have

What success looks like

Analysts and stakeholders can ask complex questions in plain English, see grounded, visualized answers within seconds, and trust the insights enough to act on them. The product reduces time-to-decision, increases data confidence, and becomes a daily habit for decision-makers.

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