Developer Relations Engineer (Content)

Langfuse•San Francisco, CA

1d•Hybrid

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 AI 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 companies and with significant SDK downloads and Docker pulls. Langfuse joined ClickHouse in January 2026, recognizing that LLM observability is fundamentally a data problem and that Langfuse already ran on ClickHouse. This partnership allows for faster product development, adherence to open-source principles, and accelerated revenue growth through combined Go-to-Market and sales efforts. The company was previously backed by Y Combinator, Lightspeed, and General Catalyst. Langfuse is a small, engineering-heavy, and experienced team with members in Berlin and San Francisco. This role is for a Developer Relations Engineer who can deeply understand Langfuse, use the product hands-on, and effectively communicate its value. It's a technical product advocacy role involving writing, building demos, improving documentation, creating launch content, speaking at events, organizing technical sessions, running product deep dives, explaining AI team workflows related to observability, evaluation, and prompt management, and shaping Langfuse's market presence. The ideal candidate is an engineer or highly technical product marketer passionate about educating through content. Prior experience in public content creation, audience building, open-source contributions, or having original, valued opinions among AI engineers is a strong plus. This role is distinct from the Developer Relations Engineer (Events & Community) role and is more product-focused, requiring technical depth to engage with serious AI engineering teams and translate market feedback into improved product communication.

Requirements

An engineer, data scientist, developer advocate, product marketing engineer, or technical product marketer who can go deep on the product
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
Exceptionally strong writing skills; ability to make complex technical ideas feel simple without making them shallow
Ability to code enough to build examples, inspect SDKs, understand traces, and be credible with strong engineers
Ability to advocate for a technical product in person and in writing; comfortable explaining why something matters, not just how it works
Good taste in content and strong opinions about what makes technical writing useful
Ability to own projects end to end, from messy input to shipped public asset
Ability to collaborate well across product, engineering, marketing, sales, solutions, support, and ClickHouse counterparts
Curiosity about AI engineering and staying close to what developers are actually building

Nice To Haves

Already create content: blog posts, videos, talks, social posts, newsletters, docs, open-source examples, or technical explainers
Already have an audience, or clear evidence that experienced technical people value your explanations
Worked in engineering, product marketing engineering, DevRel, data infrastructure, observability, databases, AI tooling, or developer tools
Deep knowledge in LLM applications, agents, evals, prompt engineering, RAG, or observability
Experience running benchmarks, writing competitive deep dives, or producing opinionated technical market analysis
Experience speaking at technical events, organizing developer events, running workshops, or building community around a technical product
Contribute to open-source projects
Comfortable on camera and on stage
Familiarity with 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