At Trunk, our mission is to help teams create high-quality software quickly. We've helped engineerings teams at: Google X, Zillow, and Brex to understand why their builds fail, which tests are flaky, and how to ship code faster without sacrificing reliability. AI has made writing code 10x faster, but shipping is still painfully slow. The bottleneck has shifted downstream - to merge conflicts, flaky tests, inconsistent code quality, and dozens of other frictions that drain productivity and morale. Engineering teams that can stay focused on designing, implementing, and delivering software will build magical, high-quality projects - and they'll be happier doing it. We're building a CI Reliability Platform that empowers teams to land code faster and develop happier. Our founders launched Trunk in 2021 after designing, delivering, and scaling software at Uber, Google, YouTube, and Microsoft. We raised a $25M Series A led by Initialized Capital (Garry Tan) and a16z (Peter Levine), with investments from Haystack Ventures, Garage VC, and the founders of GitHub (Tom Preston-Werner), Apollo GraphQL (Geoff Schmidt), Algolia (Nicolas Dessaigne), and Peopl.ai (Oleg Rogynsky). CI pipelines are black boxes. Engineers waste hours debugging failures that turn out to be flaky tests or infrastructure noise. Trunk makes this visible: what failed, why, and whether it's worth fixing. The next wave is agentic. AI tools today hit a wall when code leaves the local environment. We're building the data layer that lets AI agents actually reason about CI: diagnosing failures, suggesting fixes, and eventually shipping code autonomously. We're looking for a Tech Lead to own the data platform that powers Trunk's flaky test detection and CI analytics products. You'll design and build the systems that ingest millions of test runs per hour, surface actionable insights, and lay the foundation for AI-driven CI workflows. We're at an inflection point. The scale challenges are real and growing. The AI/agentic future of development tooling is taking shape, and we're building the data infrastructure that makes it possible. If you want to work on hard systems problems with direct customer impact, this is the role.