About Langfuse

Open Source LLM Engineering Platform that helps teams build useful AI applications via tracing, evaluation, and prompt management (mission, product). We are now part of ClickHouse.

We're building 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: trusted by 19 of the Fortune 50, >2k customers, >26M monthly SDK downloads, >6M Docker pulls.

We joined ClickHouse in January 2026 because LLM observability is fundamentally a data problem and Langfuse already ran on ClickHouse. Together we can move faster on product while staying true to open source and self-hosting, and join forces on GTM and sales to accelerate revenue.

Previously backed by Y Combinator, Lightspeed, and General Catalyst.

We're a small, engineering-heavy, and experienced team in Berlin and San Francisco. We are also hiring for engineering in EU timezones and expect one week per month in our Berlin office (how we work).

TL;DR

We are hiring an Engineer who wants to create content, documentation and engages with our global user base. You are powering our developer relations expanding Langfuse's thought leadership in the LLM ops space.

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
Investors: $4M Seed by Y Combinator, Lightspeed, and General Catalyst
We're a small, engineering-heavy, focused team in Berlin and San Francisco (how we work)

What you'll do

Make our documentation the best out there
Blog & Social posts to define how everyone should think about LLM Engineering
Write Cookbooks / Code examples that provide real value for users
Produce Videos and Memes
Build applications that help us grow in unconventional ways
Deeply engage with OSS community

What we're looking for

Must

You are an Engineer who wants to educate through content
Technical background (Engineering or Data Science)
You have taste in good content

Extras

You already create content
You are deep in AI engineering
You are equipped to redefine what DevRel means in the age of LLMs
You have original opinions that experienced Devs value
You contribute to OSS projects
Software Engineering work experience is a big plus

Why Langfuse?

Building for very sophisticated technical users
Competitive salary & equity compensation
Strong customer & revenue growth
You are joining really early
Extreme autonomy
Performance and learning focused culture
Everyone on the team says: "best place I've ever worked at"
2 short scheduled meetings per week

Our Process

We can run this process in less than 7 days.

Fill out application
We screen your application
First Call: Quick intro & chat about logistics
Second Call: Founder Deepdive (40mins), remote
Third Call: Technical Deep Dive interview (60min)
Super Day ( half or full day in Office, remote in some cases)
Meet the other founders (short calls)
Decision & Offer

Links

All repos: github.com/langfuse
Company handbook: langfuse.com/handbook
Team: https://langfuse.com/handbook/chapters/team
How we hire: langfuse.com/handbook/how-we-hire
Blog: langfuse.com/blog

Some people who’s DevRel work we like:

Lee Robinson - built DevRel at Vercel now at cursor
Swyx - running latent space pod and writes about DevRel
Lars Grammel - building and writing about AI SDK
Max Tkacz - who built the n8n community & content machine
Ishan of Exa who shipped twitterwarpped.exa
Aymeric & prev. David creating content & courses at hugginface

Process

We can run the full process to your offer letter in less than 7 days (hiring process).

Tech Stack

We run a TypeScript monorepo: Next.js on the frontend, Express workers for background jobs, PostgreSQL for transactional data, ClickHouse for tracing at scale, S3 for file storage, and Redis for queues and caching. You should be familiar with a good chunk of this, but we trust you'll pick up the rest quickly (Stack, Architecture).

How we ship

Link to handbook

We trust you to take ownership (ownership overview) for your area. You identify what to build, propose solutions (RFCs), and ship them. Everyone here thinks about the user experience and the technical implementation at the same time. Everyone manages their own Linear.
You're never alone. Anyone from the team is happy to go into a whiteboard session with you. 15 minutes of shared discussion can very much improve the overall output.
We implement maker schedule and communication. There are two recurring meetings a week: Monday check-in on priorities (15 min) and a demo session on Fridays (60 min).
Code reviews are mentorship. New joiners get all PRs reviewed to learn the codebase, patterns, and how the systems work (onboarding guide).
We use AI as much as possible in our workflows to make our users happy. We encourage everyone to experiment with new tooling and AI workflows.

Why Langfuse (now part of ClickHouse)

This role puts you at the forefront of the AI revolution, partnering with engineering teams who are building the technology that will define the next decade(s).
This is an open-source devtools company. We ship daily, talk to customers constantly, and fight for great DX. Reliability and performance are central requirements.
Your work ships under your name. You'll appear on changelog posts for the features you build, and during launch weeks, you'll produce videos to announce what you've shipped to the community. You’ll own the full delivery end to end.
We're solving hard engineering problems: figuring out which features actually help users improve AI product performance, building SDKs developers love, visualizing data-rich traces, rendering massive LLM prompts and completions efficiently in the UI, and processing terabytes of data per day through our ingestion pipeline.
You'll work closely with the ClickHouse team and learn how they build a world-class infrastructure company. We're in a period of strong growth: Langfuse is growing organically and accelerating through ClickHouse's GTM. (Why we joined ClickHouse)
If you wonder what to build next, our users are a Slack message or a Github discussions post away.
You’re on a continuous learning journey. The AI space develops at breakneck speed and our customers are at the forefront. We need to be ready to meet them where they are and deliver the tools they need just-in-time.

Langfuse

Open roles

Senior Forward Deployed Engineer

DevRel Engineer