Developer Relations Engineer (Content)

Langfuse • San Francisco, CA

1d • Remote

About The Position

Langfuse is an Open Source LLM Engineering Platform that helps teams build useful AI applications through tracing, evaluation, and prompt management. Now part of ClickHouse, Langfuse aims to be the 'Datadog' for LLM applications, addressing the complexity of building AI applications in both startups and enterprises. It is the largest open-source solution in its category, trusted by numerous large customers and with significant adoption metrics. Langfuse joined ClickHouse in January 2026, leveraging ClickHouse's data infrastructure expertise to accelerate product development and go-to-market strategies while maintaining its open-source and self-hosting principles. The company, previously backed by prominent investors, is a small, engineering-heavy team with a presence in Berlin and San Francisco. This role is remote-friendly, with European roles being remote-first requiring one week per month in Berlin, and US roles preferring San Francisco but open to exceptional candidates nationwide.

Requirements

• You are an engineer, data scientist, developer advocate, product marketing engineer, or technical product marketer who can go deep on the product
• You have 5+ years of relevant experience across engineering, technical product marketing, DevRel, data science, technical writing, developer tools, or a similar technical field. Exact title matters less than work quality
• You can write exceptionally well. You make complex technical ideas feel simple without making them shallow
• You can code enough to build examples, inspect SDKs, understand traces, and be credible with strong engineers
• You can advocate for a technical product in person and in writing. You are comfortable explaining why something matters, not just how it works
• You have taste in good content and strong opinions about what makes technical writing useful
• You can own projects end to end, from messy input to shipped public asset
• You can collaborate well across product, engineering, marketing, sales, solutions, support, and ClickHouse counterparts
• You are curious about AI engineering and stay close to what developers are actually building

Nice To Haves

• You already create content: blog posts, videos, talks, social posts, newsletters, docs, open-source examples, or technical explainers
• You already have an audience, or clear evidence that experienced technical people value your explanations
• You have worked in engineering, product marketing engineering, DevRel, data infrastructure, observability, databases, AI tooling, or developer tools
• You are deep in LLM applications, agents, evals, prompt engineering, RAG, or observability
• You have run benchmarks, written competitive deep dives, or produced opinionated technical market analysis
• You have spoken at technical events, organized developer events, run workshops, or built community around a technical product
• You contribute to open-source projects
• You are comfortable on camera and on stage
• You know ClickHouse, SQL, analytics systems, or data infrastructure

Responsibilities

• Become a Langfuse subject matter expert across tracing, evals, prompt management, datasets, metrics, self-hosting, and the broader AI engineering workflow
• Create product and technical marketing content: blog posts, product deep dives, guides, cookbooks, benchmarks, demos, webpages, docs, conference talks, social posts, launch videos, and more
• Translate technical features and nuance into clear value propositions that help developers and teams understand why Langfuse matters
• Work closely with product, engineering, and the ClickHouse product marketing team to launch new capabilities with sharp positioning and useful technical proof
• Make our documentation, guides, and examples the best in the category
• Build demo apps, code examples, and workshop material that users can actually run
• Speak at, organize, and attend high-signal in-person events for AI engineers, including conferences, meetups, workshops, customer sessions, and ClickHouse field moments
• Turn events into reusable product education: talks, demos, workshop repos, follow-up content, customer questions, sales learnings, and better positioning
• Help define our content strategy and roadmap based on product priorities, customer questions, community signals, search demand, and what is happening in AI engineering right now
• Conduct competitive and market analysis across LLM observability, evals, agent observability, prompt management, and related developer tooling
• Use metrics and feedback to understand what is working, improve what is not, and recommend what we should do next
• Spend time with users, community members, sales, solutions, and support so our product communication is grounded in real customer problems

Benefits

• Open source
• Self-hosting
• Remote-friendly
• European roles are remote-first with one week per month in Berlin
• San Francisco is preferred for US candidates, but we are open to exceptional candidates anywhere in the US

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed