Careers at Langfuse - Langfuse

Get Started with Tracing
Step-by-step guide to ingesting your first trace using OpenAI, LangChain, or the SDKs.
Get Started with Tracing
This guide walks you through ingesting your first trace.
Langfuse joins ClickHouse
Our goal continues to be building the best AI engineering platform
Community Q&A threads
Restrict models per AI Gateway key
Call Google Vertex AI models through the AI Gateway
Evaluate with Gemini decision models
Terraform (AWS, GCP, Azure)
Langfuse launches AI Gateway
How Teams in Regulated Industries Get AI Agents into Production
Langfuse October Update
Join the team building the leading open-source AI engineering platform, now part of ClickHouse
View open positions →
Teams building AI applications need to monitor and evaluate them continuously to get them into production and keep improving them. Langfuse is the open-source platform for that workflow. Read about our mission.
In January 2026, we joined ClickHouse. We still run as our own team.
If you want to build great developer tools, or get developers to love them, we'd love to hear from you.
– Marc, Clemens, Max and the Langfuse team
Langfuse is the most widely adopted open-source LLM engineering platform, used by 50,000+ companies, with 37,388 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.
It has the largest distribution in our space. See the public metrics.
AI-native companies like Ramp run on Langfuse, and so do very large enterprises. See more companies building with Langfuse.
Engineers own a feature area and stay with it as the team grows. Marketers own launches, events, or a program like Langfuse Academy. The people who build a feature answer users in GitHub Discussions themselves. Because the work is open source, your track record stays public.
You own it from the customer call to the launch. Here is how that looked for one real feature, the evals revamp:
We set our own roadmap. ClickHouse gives us a global sales team that sells Langfuse and a much larger audience for our launches. The engineers who build the database are one message away.
Our bet is that ClickHouse will be one of the great infrastructure companies of the AI era, and that joining Langfuse now means being part of that. The database already runs real-time analytics, observability, and AI workloads. Langfuse is how that platform sees what agents do in production. For more background, see below.
Everyone gets a very high AI budget. We build slides with AI, maintain our own coding harness, and almost everyone runs a small army of agents. We have three scheduled meetings a week. Everything else happens in writing (see our principles).
Each of these projects was usually executed by one person.
You own your projects end to end and the product outcome, building whatever it takes, putting the user and the product first, and making smart technical choices.
Deterministic Python or TypeScript checks on observations and experiments.
The assistant inside Langfuse that works across thousands of observations.
The trace timeline fits any trace on one screen and zooms like a map.
You own ingestion, ClickHouse query performance, and the infrastructure behind Langfuse Cloud and self-hosting, at petabyte scale.
Query every agent step directly, with faster tables and dashboards.
ClickHouse search across observation inputs, outputs, and metadata.
A Tokyo region so traces, prompts, and evaluations stay in Japan.
Our audience is AI engineers, so most of our marketing is material they'd bookmark:
We are remote-first and hire engineers across Europe and in US-East time zones. Engineering teams are mixed EU/US. Marketing and all other roles hire in Europe and all of the United States. All roles are listed on the ClickHouse careers site. See how we think about pay and perks.
Working from the AMS office