DevRel Engineer

DevRel Engineer ABOUT LANGFUSE Open Source LLM Engineering Platform that helps teams build useful AI applications via tracing, evaluation, and prompt management (mission https://tracking.us.nylas.com/l/6d586a21a6fc4e1a8aacc7eb75882b72/0/82383757e54352130f65066e1b2fc4708aacab7897561bcb8000fe4c8a9c6a21?cache_buster=1761124921, product https://tracking.us.nylas.com/l/6d586a21a6fc4e1a8aacc7eb75882b72/1/b9fba3a93b6ffcc0f99ecda62767a17cc437fe8fe0b16181d1c43c1391212e3d?cache_buster=1761124921). 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 https://langfuse.com/handbook/how-we-work/principles). 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 https://tracking.us.nylas.com/l/6d586a21a6fc4e1a8aacc7eb75882b72/0/82383757e54352130f65066e1b2fc4708aacab7897561bcb8000fe4c8a9c6a21?cache_buster=1761124921, product https://tracking.us.nylas.com/l/6d586a21a6fc4e1a8aacc7eb75882b72/1/b9fba3a93b6ffcc0f99ecda62767a17cc437fe8fe0b16181d1c43c1391212e3d?cache_buster=1761124921) - 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 https://langfuse.com/blog/announcing-our-seed-round by Y Combinator, Lightspeed, and General Catalyst - We're a small, engineering-heavy, focused team in Berlin and San Francisco (how we work https://langfuse.com/handbook) 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. 1. Fill out application 2. We screen your application 3. First Call: Quick intro & chat about logist ... (truncated, view full listing at source)