Senior Product Engineer

Own features end-to-end : from talking to users, to writing the spec, to shipping the code and docs, to writing the changelog post with your name on it. To give you a sense: recent features a single engineer owned include the Langfuse for Agents release (new trace views, agent graphs, semantic span labels), the TypeScript SDK v4 rewrite on OpenTelemetry, and the hosted MCP server for prompt management.

Work across the full stack : and we mean full. Our surface area is wide: React frontend, Next.js backend, ClickHouse analytics, Python and TypeScript SDKs, public docs, Terraform modules, and more. You'll touch whatever the feature needs. One week you might be writing a new ClickHouse query for cost analytics, the next you're designing an SDK API, the next you're building a new React view for agent traces.

Talk to users constantly : jump on calls, respond in community channels, and route support requests. At Langfuse, support is how we build conviction about what to build next. Our handbook says it best: support by engineers is a core value proposition.

Write public documentation about the features you own. At Langfuse, docs are product.

Ship publicly during Launch Weeks : we've run four Launch Weeks so far, dropping a new feature every day for a week. Engineers present the features they built to the community.

Someone who has built features or even entire products from scratch end-to-end

Experience building and shipping user-facing products end-to-end, ideally in TypeScript/React and with exposure to data-intensive backends

Someone who can manage projects themselves. You know how to develop strong conviction about what to build and how to ship it.

Taste for great developer experience: you care about API design, UI details, and clear documentation

Interest in open source software and genuine excitement about talking to developers about their problems

Thrives in a small, accountable team where your output is visible and matters

CS or quantitative degree preferred

Bonus points:

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

No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.

We can run the full process to your offer letter in less than 7 days ( hiring process ).

We run a TypeScript monorepo: Next.js on the frontend, Express workers for background jobs, PostgreSQL for transactional data, ClickHouse for tracing at scale, S3 for file storage, and Redis for queues and caching. You should be familiar with a good chunk of this, but we trust you'll pick up the rest quickly ( Stack , Architecture ).

Link to handbook

We trust you to take ownership ( ownership overview ) for your area. You identify what to build, propose solutions (RFCs), and ship them. Everyone here thinks about the user experience and the technical implementation at the same time. Everyone manages their own Linear.

You're never alone. Anyone from the team is happy to go into a whiteboard session with you. 15 minutes of shared discussion can very much improve the overall output.

We implement maker schedule and communication. There are two recurring meetings a week: Monday check-in on priorities (15 min) and a demo session on Fridays (60 min).

Code reviews are mentorship. New joiners get all PRs reviewed to learn the codebase, patterns, and how the systems work ( onboarding guide ).

We use AI as much as possible in our workflows to make our users happy. We encourage everyone to experiment with new tooling and AI workflows.

This role puts you at the forefront of the AI revolution, partnering with engineering teams who are building the technology that will define the next decade(s).

This is an open-source devtools company. We ship daily, talk to customers constantly, and fight for great DX. Reliability and performance are central requirements.

Your work ships under your name. You'll appear on changelog posts for the features you build, and during launch weeks, you'll produce videos to announce what you've shipped to the community. You’ll own the full delivery end to end.

We're solving hard engineering problems: figuring out which features actually help users improve AI product performance, building SDKs developers love, visualizing data-rich traces, rendering massive LLM prompts and completions efficiently in the UI, and processing terabytes of data per day through our ingestion pipeline.

You'll work closely with the ClickHouse team and learn how they build a world-class infrastructure company. We're in a period of strong growth: Langfuse is growing organically and accelerating through ClickHouse's GTM. ( Why we joined ClickHouse )

If you wonder what to build next, our users are a Slack message or a Github discussions post away.

You’re on a continuous learning journey. The AI space develops at breakneck speed and our customers are at the forefront. We need to be ready to meet them where they are and deliver the tools they need just-in-time.