

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.
You’ll 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. You’ll 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
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.
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
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