---
title: Careers at Langfuse
description: "Join the Langfuse team to build the leading open-source AI engineering platform"
contentWidth: docs
---

  <Heading as="h1" size="large">
    <TextHighlight>Building Langfuse</TextHighlight>
  </Heading>
  <Text>Join the team building the leading open-source AI engineering platform</Text>
  
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  ![Langfuse Team](/images/people/team.jpg)

While LLMs improve a lot, we don't see enough applications in production. Building these applications requires a new workflow of continuous monitoring and evaluation that we enable with Langfuse (learn more about [our mission](/handbook/chapters/mission)).

We are seeing strong traction (see metrics below), thus it is the right time to grow the team to build out our backend systems, product, and how we communicate with developers.

We are backed by Lightspeed, General Catalyst, Y Combinator, and angels. We are growing fast (see metrics below) and work with some of the best AI teams such as Canva, Samsara, Twilio, Khan Academy, and Intuit. In January 2026, [we joined ClickHouse](/blog/joining-clickhouse) to accelerate our growth even further.

We operate out of San Francisco and Berlin, with team members spread across Europe. European roles are remote-first with 3-5 days every two months in Berlin (travel covered); SF and Berlin locals use the office when it's useful.

If complex technical problems & great developer experiences excite you, we'd love to hear from you.

– [Marc](https://x.com/MarcKlingen), [Clemens](https://x.com/rawert), [Max](https://x.com/maxdeichmann) and the Langfuse team

## Team

| Name                   | Role                       | Social Links                                                                                                                              |
| ---------------------- | -------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------- |
| **Marc Klingen**       | Co-Founder & CEO           | [X](https://x.com/marcklingen), [LinkedIn](https://www.linkedin.com/in/marcklingen/), [GitHub](https://github.com/marcklingen)            |
| **Max Deichmann**      | Co-Founder & CTO           | [X](https://x.com/maxdeichmann), [LinkedIn](https://www.linkedin.com/in/maxdeichmann/), [GitHub](https://github.com/maxdeichmann)         |
| **Clemens Rawert**     | Co-Founder & COO           | [X](https://x.com/rawert), [LinkedIn](https://www.linkedin.com/in/rawert/), [GitHub](https://github.com/clemra)                           |
| **Marlies Mayerhofer** | Founding Engineer          | [X](https://x.com/marliessophie), [LinkedIn](https://www.linkedin.com/in/marlies-mayerhofer/), [GitHub](https://github.com/marliessophie) |
| **Hassieb Pakzad**     | Founding Engineer          | [X](https://x.com/hassiebpakzad), [LinkedIn](https://www.linkedin.com/in/hassieb/), [GitHub](https://github.com/hassiebp)                 |
| **Steffen Schmitz**    | Backend Engineer           | [LinkedIn](https://www.linkedin.com/in/steffenschmitz/), [GitHub](https://github.com/Steffen911)                                          |
| **Jannik Maierhöfer**  | Growth Engineer            | [X](https://x.com/jmaierhoefer), [LinkedIn](https://www.linkedin.com/in/maierhoefer/), [GitHub](https://github.com/jannikmaierhoefer)     |
| **Akio Nuernberger**   | Enterprise & Partnerships  | [X](https://x.com/AkioNuernberger), [LinkedIn](https://www.linkedin.com/in/akio-nuernberger/)                                             |
| **Nimar Blume**        | Product Engineer           | [X](https://x.com/nimarblu), [LinkedIn](https://www.linkedin.com/in/nimar/), [GitHub](https://github.com/nimarb)                          |
| **Valeriy Meleshkin**  | Backend Engineer           | [LinkedIn](https://www.linkedin.com/in/valeriy-meleshkin-5610ab58), [GitHub](https://github.com/sumerman)                                 |
| **Lotte Verheyden**    | Product Marketing Engineer | [X](https://x.com/lotte_verheyden), [LinkedIn](https://www.linkedin.com/in/lotteverheyden/), [GitHub](https://github.com/Lotte-Verheyden) |
| **Leonard Wolters**    | Operations                 | [LinkedIn](https://www.linkedin.com/in/leonardwolters/), [GitHub](https://github.com/leonardwolters)                                      |
| **Annabell Schäfer**   | Product Marketing Engineer | [X](https://x.com/annabellschfr), [LinkedIn](https://www.linkedin.com/in/annabell-schaefer/), [GitHub](https://github.com/annabellscha)   |
| **Tobias Wochinger**   | Product Engineer           | [LinkedIn](https://www.linkedin.com/in/tobiaswochinger/), [GitHub](https://github.com/wochinge)                                           |
| **Ben Bachem**         | Product Engineer           | [LinkedIn](https://www.linkedin.com/in/ben-bachem/), [GitHub](https://github.com/bezbac)                                                  |
| **Mark Salpeter**      | Product Engineer           | [X](https://x.com/marksalpeter), [LinkedIn](https://www.linkedin.com/in/marksalpeter/), [GitHub](https://github.com/marksalpeter)         |
| **Caleb Seeling**      | Support Engineer           | [LinkedIn](https://www.linkedin.com/in/calebloveseeling/), [GitHub](https://github.com/CodeCLS)                                           |
| **Niklas Semmler**     | Backend Engineer           | [LinkedIn](https://www.linkedin.com/in/nsemmler/), [GitHub](https://github.com/niklassemmler)                                             |
| **Nikita Kabardin**    | Frontend Engineer          | [X](https://x.com/nkabardin), [LinkedIn](https://www.linkedin.com/in/nkabardin/), [GitHub](https://github.com/nkabardin)                  |
| **Vera Yap**           | Recruiting                 | [LinkedIn](https://www.linkedin.com/in/verayap/)                                                                                          |
| **Milana Gurbanova**   | Integrations Engineer      | [LinkedIn](https://www.linkedin.com/in/milana-gurbanova/), [GitHub](https://github.com/milanagm)                                          |
| **Lysander Kiesel**    | Product Engineer           | [X](https://x.com/LysanderKie), [LinkedIn](https://www.linkedin.com/in/lysander-kiesel/), [GitHub](https://github.com/LysanderKie)        |
| **Hande Kafkas**       | Growth Engineer            | [X](https://x.com/HandexxK), [LinkedIn](https://www.linkedin.com/in/handekafkas/), [GitHub](https://github.com/hande-k)                   |
| **You?**               | Your life's work           | [Open Positions](https://jobs.ashbyhq.com/langfuse)                                                                                       |

## Team impressions: from start to now

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## Read our Handbook

We publicly document our core principles and processes at Langfuse to align as a team, maintain transparency with our community, and help you determine if you'd enjoy working here.

### Main Chapters

### More Links

The handbook contains many more resources that define how we do things. These might be interesting to you:

- [How we work](/handbook/how-we-work/principles)
- [Working remotely at Langfuse](/handbook/how-we-work/remote)
- [How we hire](/handbook/how-we-hire)
- [How we think about Pay and Perks](/handbook/perks-and-pay)

## Open Source

Almost everything we do is public. Get a glimpse of our work here:

- [GitHub Repositories](https://github.com/orgs/langfuse/repositories)
- [GitHub Discussions](https://github.com/orgs/langfuse/discussions)
- [Documentation](/docs)
- [Roadmap](/docs/roadmap)
- [Example project](/docs/demo)

## Videos/Podcasts

If you prefer watching videos or listening to podcasts to get an impression, here are some suggestions:

- [A Day in the Life of a Technical Support Engineer at Langfuse](https://www.youtube.com/watch?v=1UjJh9a9O1k)
- [Typescript AI Conf: AI Observability Panel](https://www.youtube.com/watch?v=3TqaDP63Qdk&t=13465s)
- [Launch Week 4: Demos of new features](/blog/2025-10-29-launch-week-4)
- [Startup Insider Podcast (🇩🇪 only): our story, how we work, what's next](https://open.spotify.com/episode/1FYsw0LkkSXw6kDwTvl0rB?si=wDmCVebxTHSWBRbSNaSInA)
- [Max (CTO) on Clickhouse data model optimizations to make Langfuse work](https://www.youtube.com/watch?v=NXYQ5odATrM)

## Public Metrics

Langfuse is the most widely adopted LLM Engineering platform, used by **50,000+ companies**, with **34,289 GitHub stars**, **65M+ SDK installs per month**, and **38M+ Docker pulls**. Trusted by **21 of the Fortune 50** and **129 of the Fortune 500** companies.

[View the Langfuse public metrics dashboard](https://app.hex.tech/clickhouse-analytics/app/0349rZiOtG8QDXATQrRCSI/latest).

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<!-- agent-instructions -->

---

## Agent Instructions

This page is part of the [Langfuse](https://langfuse.com) documentation, published as plain Markdown for AI agents. Every page is available as Markdown by appending `.md` to its URL, or by sending an `Accept: text/markdown` header. This page: `https://langfuse.com/careers.md`.

### Querying these docs

If the answer is not on this page, query the documentation instead of guessing:

- **Semantic search** across all Langfuse docs, returning an answer with the relevant pages and excerpts. Ask a specific, self-contained question:

  ```bash
  curl -sG "https://langfuse.com/api/search-docs" --data-urlencode "query=How do I trace a LangGraph agent?"
  ```

- **Index of every page**: <https://langfuse.com/llms.txt>, with per-section indexes [llms-docs.txt](https://langfuse.com/llms-docs.txt), [llms-integrations.txt](https://langfuse.com/llms-integrations.txt), and [llms-self-hosting.txt](https://langfuse.com/llms-self-hosting.txt).

### Before writing Langfuse code

- **Install the [Langfuse Agent Skill](https://langfuse.com/docs/api-and-data-platform/features/agent-skill).** It encodes Langfuse's own best practices for instrumentation, prompt management, and evaluation, and materially improves results.
- **Read [What does a good trace look like?](https://langfuse.com/docs/observability/best-practices.md)** before instrumenting an application.
- **Verify endpoints, parameters, and response fields** against the [API reference](https://api.reference.langfuse.com) instead of inferring them from code examples.
- **Use the [Langfuse CLI](https://langfuse.com/docs/api-and-data-platform/features/cli)** (`npx langfuse-cli api <resource> <action>`) to read or write traces, prompts, datasets, and scores from the terminal.

Found an error in these docs? Please open an issue at <https://github.com/langfuse/langfuse-docs/issues>.
