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.
You will lead the architecture and delivery of our AI-native analytics applications integrating insight generation with robust scalable platform design. This role combines hands-on technical leadership with an analytical product mindset - crafting interactive agentic experiences that reason over data generate insights and accelerate decisions.
Youll own the frontend and middleware layers powering our analytics agents - from React-based interfaces that blend charts chat and narrative to API orchestration layers that retrieve ground and validate data through LLMs. Youll lead by code by architecture and by influence - setting patterns mentoring and collaborating with analysts data scientists and PMs to ship meaningful outcomes fast.
Architect the intelligence layer
Design agentic workflows that connect user intent to data - integrating chat worksheets streaming and visual explanations.
Define the application and service architecture for how AI retrieves reasons and presents insights (tool use citations schema validation).
Build for analytics at scale
Build the orchestration layer that connects user interactions to AI reasoning - handling auth rate limits experiments and data retrieval pipelines.
Establish data contracts and APIs that unify metrics events and visualizations across analytics domains.
Elevate the user experience
Drive performance accessibility and visualization excellence with standardized components and fast reliable UI states.
Champion data storytelling - enabling users to go from metric narrative action.
Make AI analytics safe and trustworthy
Implement grounding (RAG) output validation PII scrubbing prompt-injection defenses and human-in-loop review patterns.
Optimize for observability - OpenTelemetry tracing latency/cost dashboards and model performance analytics.
Grow and scale the team
Mentor teams to prototype fast validate with data and evolve solutions through evidence-based iteration.
Work with eBay Engineering team AI platform team Legal to productionalize new use cases.
5 years building data-intelligent applications; 2 years shaping the design and direction of complex insight-driven products.
Deep experience with React and the visual language of data - interactive charts responsive layouts and dynamic states.
Strong grasp of service design and orchestration - building APIs and interaction layers that connect user intent to AI reasoning (e.g. FastAPI).
Proven experience with LLM-powered systems - tool/function calling vector search schema validation and performance optimization.
Familiar with modern analytics patterns - self-serve exploration experimentation metric stores and KPI workflows.
Solid grounding in observability security and privacy - with an emphasis on transparency traceability and data trust.
An articulate systems thinker with a product mindset and clear communication style.
Experience with design systems and charting libraries (e.g. Highcharts Plotly).
Background in BI or analytics platforms (e.g. Looker Mode Amplitude Tableau).
Familiarity with models and software deployment (e.g. Kubernetes).
Hands-on experience implementing agent analytics or AI copilots for data exploration.
A cohesive agentic UI that fuses chat visualization and live data into one seamless insight experience.
A resilient observable backend that keeps agents reliable secure and cost-efficient.
Noticeably faster time-to-insight and growing active usage from analysts PMs and business stakeholders.
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Required Experience:
Staff IC
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