Teams at Shipt

Design, build, and scale AI infrastructure, tooling, and libraries to empower data scientists and engineers. Integrate LLM gateways, agent frameworks, and structured-output systems; implement observability for ML; enable large-scale data processing and model serving. Collaborate with product, operations, and cross-functional teams to deliver AI-first features for retail and logistics.

Lead a team to build a Pipeline-as-a-Service data platform treated as an internal product. Own vision, roadmap, backend services, APIs, CLIs and SDKs, and enterprise CI/CD to enable self-serve data ingestion and improve data platform scalability and developer experience.

Lead strategy and execution for marketing, merchandising, and media tooling. Define product vision and prioritized roadmaps, partner with engineering, data science, design, and business teams, translate workflows into technical requirements, prioritize backlog by business value, and define and report KPIs to measure tool adoption, system efficiency, and downstream customer impact.