Langfuse is building open-source observability and product analytics for LLM applications. We help engineers and companies understand how customers use their LLM applications and how they can improve on them. Have a look at our website and especially technical docs to learn more.

In Short: Langfuse is looking for a hands-on Customer Engineer to join the Berlin Office who will own the front line of our customer experience, keep a tight feedback loop with product engineering, and help thousands of AI‑product teams succeed with tracing & evals.

About Langfuse

• We are building the fastest growing open-source LLM engineering platform.
• We help engineers and enterprises build and run LLM applications at scale.
• We've raised $4m from Y Combinator, Lightspeed and General Catalyst.
• Thousands of teams and engineers use Langfuse daily
• Thousands are joining every month
• We're a small, focused team working from Berlin, Germany.

What you will be working on

At Langfuse support is not a cost‑center but a product discovery engine: engineers own their features end-to-end, fixes land fast, and users ideally see “magic” when their feedback ships the same day. You will be running that engine.

Improve Low Touch (70%)

• Triage & solve inbound questions from Plain’s unified inbox (Slack Connect, email, GitHub, Discord)
• Improve Docs, snippets and auto‑reply prompts so the next 1000 teams self‑serve the answer
• Build AI powered workflows to help customers faster
• Create helpful content i.e. helpful blog posts, sample repos and tutorials
• Escalate bugs to product engineering and close the loop with the customer once shipped
• Ship small improvements yourself to close the loop even faster

Engage High Touch (40%)

• Act as named technical contact for a handful of high‑volume customers; jump on Slack huddles, unblock integrations, surface best practices
• Track their feature requests, quantify impact, and champion them on our roadmap
• Go through deep technical integration/implementation questions together with our customers and in their codebase

Improve the Product

• Maintain the support → issue tracker flow: label, cluster, and prioritise insights so Product Engineering can act fast
• Spin up proof‑of‑concepts (TypeScript/Python) to reproduce edge cases or demonstrate work‑arounds

Who we are looking for

• Solid foundations in software engineering (CS degree or comparable projects).
• New grads and career‑switchers encouraged!
• Excited when to other engineers, debugging APIs, and turning chaos into crisp docs
• Strong writing: short Slack messages and long‑form guides
• Curiosity for LLM application development

Bonus:

• past B2B solutions engineering, technical support, open‑source maintainer, or DevRel history

Why Langfuse?

• You are joining really early
• We have the greatest OSS community ❤️
• Strong Product Market Fit & revenue growth!
• We are building a very small but highly capable team
• Only hiring engineering in foreseeable future
• Building for very sophisticated technical users
• Competitive salary & equity
• Zero‑bureaucracy budget for learning
• Team that pushes you
• Everyone on the team says: "best place I've ever worked at"

How we work

• Engineering based in Berlin Mitte ( we aim for 4-5 days in the office ) + optional SF trips
• No more than 2 short scheduled meetings per week
• Extreme ownership & autonomy how and what to work on

Links

• Our codebase: GitHub Repository
• Some tools we use: Plain.com, Dosu, Inkeep
• Ben Kuhn on Impact, Agency and Taste
• Who we are & how we work
• How we use AI to scale: blog post

https://github.com/langfuse/langfuse/

Stack: Frontend and Backend in Typescript (T3 Stack including NextJs, Tailwind, Prisma, tRPC), Postgres, Client facing SDKs in Python and Typescript