DoorDash Software Engineer on Data and AI Platform team building AI-first reporting and analytics products. Own full path from question to answer for data users across DoorDash and partners.
Responsibilities
You’re excited about this opportunity because you will...
Ship agentic analytics features to thousands of users where a wrong number is a real business decision made badly, and accuracy is the product
Build a data platform for authoring, dashboard runtime, drill-down and cross-filter semantics, scheduling and alerting, content certification and permissions, and the embedding path that puts the same components in front of external users
Streaming large result sets to the browser, rendering dozens of interdependent tiles.
Build the AI experience inside that platform: agent-assisted query authoring, generated charts and widgets held to the same governance as hand-built ones
Evolve the semantic layer metric and dimension modeling, definition governance, lineage and expose metadata in forms a model can actually reason over
Own the query and adaptive caching path: planning and federation across different query engines and invalidation correctness, and safe execution under agent traffic that bursts and fans out
Develop AI-enabled services and workflows, including self-serve tooling for creating, evaluating, and improving AI assistants
Build and operate data discovery and metadata platforms that help users find the right datasets, dashboards, and metrics quickly and confidently
We're excited about you because you have...
B.S., M.S., or PhD. in Computer Science or equivalent
3+ years of industry experience in software engineering
Qualification
Strong backend fundamentals
Required
B.S., M.S., or PhD. in Computer Science or equivalent
3+ years of industry experience in software engineering
Strong backend fundamentals, especially in Go and Python
Experience owning a service in production
Experience shipping an LLM-powered feature to real users
