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 Technical Support Engineer to join the Berlin Office who will own the front line of our customer/community experience, keep a tight feedback loop with product engineering, and help thousands of AI‑product teams succeed with tracing & evals.

About Langfuse

Open Source LLM Engineering Platform, help teams build useful AI applications via tracing, evaluation, and prompt management (mission, product)
Massive opportunity, chance to build the "Datadog" of this category; model capabilities continue to improve but building useful applications is really hard, both in startups and enterprises
Largest open source solution in this category: >2k customers, >14M monthly SDK downloads, >6M docker pulls
Financials: We raised $4M from world class investors (Y-Combinator, Lightspeed, General Catalyst) and are default alive by making more money than we spend
We're a small, engineering-heavy, focused team in Berlin and San Francisco (how we work)

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 while engaging with our large OSS community

Community and low-touch Customer Support (70%)

Triage & solve inbound questions from diverse channels (Slack Connect, email, GitHub, Discord)
Improve Docs, snippets and auto‑reply prompts so the next 1000 teams self‑serve the answer → ideally users do not have questions and our product/docs are self-explanatory
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
Spin up proof‑of‑concepts (TypeScript/Python) to reproduce edge cases or demonstrate work‑arounds

Key Accounts (30%)

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

Who we are looking for

You deeply care about customers and want to help other engineers
Solid foundations in software engineering (CS or Data Science degree or comparable projects)
Strong writing: short Slack messages and long‑form guides/documentation
Curiosity for LLM application development

Bonus:

Past B2B solutions engineering, technical support, or DevRel
You contribute to OSS projects

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 3-5 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

All repos: github.com/langfuse
Company handbook: langfuse.com/handbook
Support handbook: https://langfuse.com/handbook/support/support
Product Ops: https://langfuse.com/handbook/product-engineering/product-ops
How we hire: langfuse.com/handbook/how-we-hire
Blog: langfuse.com/blog

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

We can run this process in less than 7 days.

Intro call (30 min) – meet a founder, talk motivation & logistics
Functional deep‑dive (45 min) – talk about your experience that maps to this role, what makes you excellent and the perfect fit
Implement a Demo Project (Take Home Challenge, expected time 3h) We will share with you a small implementation challenge to use Langfuse
Present your Demo Project (60min) – present your demo project, answer some followup questions and share product feedback with us.
On‑site Super‑Day (½ day) – we simulate a couple of core activities of this role during a mini-work-trial in our office to make both sides go from “Yes” to “Hell Yes”, during this day you will also get to meet the whole team
Decision & Offer – usually within 24 h.

We are very public about our strategy and product thinking, so feel free to start some deep research threads on this. Throughout the process, there will be ample time for any questions you may have that haven't already been addressed. We are generally super transparent, don't hesitate to ask any of the interviewers.