Software Engineer 5 - Platform Data Products

Build and ship full stack features for our infrastructure cost and usage tooling, from the React and TypeScript frontend through the GraphQL services behind it. Help build and launch our product for analyzing AI productivity, cost and usage including designing the architecture, help shaping the data model, and build the tooling Contribute into other internal tooling surfaces (e.g. developer platform, ML/AI platform tooling) by contributing pertinent data produced from our team Build reusable components and shared infrastructure to enable our visualization and analytics engineers Partner with analytics engineers and data engineers on the data models behind these products. You won't build the pipelines, but you need to reason about them. You've designed, built, and shipped full stack applications Experience contributing to internal systems and tools you don't own, including autonomously onboarding to new application stacks, strong design and architecture judgment, and proactive collaboration and communication Strong TypeScript and React, plus enough backend (Node.js, GraphQL, or similar) to own a data feature end to end Enough data fluency (SQL, and comfort reasoning about a data model) that a data-heavy product isn't a cold start. You don't need to be a data engineer, but you do need to be at home in messy, changing data. A track record of owning work on your own. You'd be our first software engineer, so you'll set direction and see it through without a big engineering org behind you. GraphQL API design, or work with Druid, Iceberg, or similar analytics data stores. An interest in survey design or product analytics instrumentation, which is where AIPI may go next. You've worked closely with data scientists, analytics engineers, or data engineers on a small team.