DevRel Engineer
About LangfuseOpen 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;DRWe 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 LangfuseOpen 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 enterprisesLargest open source solution in this category: >2k customers, >14M monthly SDK downloads, >6M docker pullsInvestors: $4M Seed by Y Combinator, Lightspeed, and General CatalystWe're a small, engineering-heavy, focused team in Berlin and San Francisco (how we work) What you'll doMake our documentation the best out thereBlog & Social posts to define how everyone should think about LLM EngineeringWrite Cookbooks / Code examples that provide real value for usersProduce Videos and MemesBuild applications that help us grow in unconventional waysDeeply engage with OSS community What we're looking forMustYou are an Engineer who wants to educate through contentTechnical background (Engineering or Data Science)You have taste in good content Extras You already create contentYou are deep in AI engineeringYou are equipped to redefine what DevRel means in the age of LLMsYou have original opinions that experienced Devs valueYou contribute to OSS projectsSoftware Engineering work experience is a big plusWhy Langfuse?Building for very sophisticated technical usersCompetitive salary & equity compensationStrong customer & revenue growthYou are joining really earlyExtreme autonomyPerformance and learning focused cultureEveryone on the team says: "best place I've ever worked at"2 short scheduled meetings per week Our ProcessWe can run this process in less than 7 days.Fill out applicationWe screen your applicationFirst Call: Quick intro & chat about logisticsSecond Call: Founder Deepdive (40mins), remoteThird 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 & OfferLinksAll repos: github.com/langfuseCompany handbook: langfuse.com/handbookTeam: https://langfuse.com/handbook/chapters/teamHow we hire: langfuse.com/handbook/how-we-hireBlog: langfuse.com/blog Some people who's DevRel work we like:Lee Robinson - built DevRel at Vercel now at cursorSwyx - running latent space pod and writes about DevRelLars Grammel - building and writing about AI SDKMax Tkacz - who built the n8n community & content machineIshan of Exa who shipped twitterwarpped.exaAymeric & prev. David creating content & courses at hugginface ProcessWe can run the full process to your offer letter in less than 7 days (hiring process).Tech StackWe 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 shipLink to handbookWe 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.