This is a rare opportunity to sit at the intersection of engineering, content creation, and community — helping developers worldwide build better AI applications through tracing, evaluation, and prompt management.
This role is based in Berlin, Germany (hybrid), with one week per month expected in the Berlin office, plus occasional travel to conferences and events.
What You'll DoOwn and continuously improve the developer documentation — make it the best in the categoryWrite blog posts, social content, and thought leadership pieces that define how engineers should think about LLM observability and AI application developmentCreate cookbooks, tutorials, and code examples that deliver real, practical value to usersProduce videos, demos, and engaging technical content (yes, memes welcome)Build small applications and tools that support community growth in creative, unconventional waysEngage deeply with the open-source community — onboard new users, gather product feedback, and be a trusted voice in the ecosystemRepresent the platform at developer-focused events, webinars, and user cohorts through public speaking and live demonstrationsWhat We're Looking ForRequired:Engineering or Data Science background — you can read, write, and reason about codeProficiency in Python; comfortable becoming a deep expert user of the platformProven experience creating developer-facing content: blog posts, tutorials, cookbooks, or videosExperience in developer relations, community building, or a closely related function (user onboarding, support, feedback collection)Active involvement or contributions in open-source communities; genuine OSS mindsetStrong public speaking and presentation.