Customer Engineer

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.

• 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.

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

• 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

• 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"

• 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

We can run this process in less than 7 days.

1. Intro call (30 min) – meet a founder, talk motivation & logistics

2. Functional deep‑dive (45 min) – talk about your experience that maps to this role, what makes you excellent and the perfect fit

3. Coding exercise (90 min) – this role is technical, during this call we will go deep on your aptitude to help customers get technical issues resolved and small fixes shipped

4. On‑site Super‑Day (½ day) – we simulate a couple of core activities of this role during a mini-work-trial to make both sides go from “Yes” to “Hell Yes”, during this day you will also get to meet the whole team

5. 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.

• 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