DevRel Engineer

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).

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.

• 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)

• 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

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

• 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

We can run this process in less than 7 days.

1. Fill out application

2. We screen your application

3. First Call: Quick intro & chat about logistics

4. Second Call: Founder Deepdive (40mins), remote

5. Third Call: Technical Deep Dive interview (60min)

6. Super Day ( half or full day in Office, remote in some cases)

7. Meet the other founders (short calls)

8. Decision & Offer

• 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

• 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

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

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).

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.

• 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.