At Langfuse, product engineers deliver new features end-to-end — owning product thinking from understanding the user problem to deciding what to build to shipping the solution.
Responsibilities
- ▹Own features end-to-end: talk to users, write the spec, ship the code and docs, write the changelog post under your name
- ▹Work across the full stack: React frontend, Next.js backend, ClickHouse analytics, Python and TypeScript SDKs, public docs, Terraform modules
- ▹Talk to users constantly: jump on calls, respond in community channels, route support requests
- ▹Write public documentation about the features you own
- ▹Ship publicly during Launch Weeks: present the features you built to the community, one new feature per day for a week
Requirements
- ▹Experience building features or even entire products from scratch, end-to-end
- ▹Experience shipping user-facing products end-to-end, ideally in TypeScript/React with exposure to data-intensive backends
- ▹Able to manage projects yourself, with strong conviction about what to build and how to ship it
- ▹Taste for great developer experience: API design, UI details, clear documentation
- ▹Interest in open source and genuine excitement about talking to developers about their problems
- ▹CS or quantitative degree preferred
Nice to have
- ▹Experience with ClickHouse, analytics databases, or building complex data visualizations
- ▹Former founder or early startup experience
- ▹Contributions to popular open source projects
- ▹ML/AI background or familiarity with the LLM framework ecosystem
Soft skills
End-to-end ownershipIndependent, conviction-driven decision makingTaste for developer experienceActive communication with users
About the company
Langfuse is an open source LLM engineering platform (tracing, evaluation, prompt management) with 21,900+ GitHub stars and 23M+ monthly SDK downloads, now part of ClickHouse. A small, engineering-heavy team based in Berlin and San Francisco, also hiring in EU timezones with one week per month in the Berlin office.
Education: Számítástechnikai vagy kvantitatív végzettség preferált
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