About this role
Workplace: Europe: Remote, with 3–5 days together in Berlin every two months. US: Fully remote. San Francisco preferred, but we're open to exceptional candidates anywhere in the US.
WHAT IS PRODUCT MARKETING ENGINEERING AT LANGFUSE
We are hiring a Product Marketing Engineer to become one of the clearest voices on Langfuse — someone who can use the product hands-on and can explain it to the engineers building with it.
This is a technical product advocacy role. You will write deep dives and launch content, build demos, make the docs genuinely good, speak at events, and shape how AI engineering teams think about observability, evals, and prompt management. You will also carry what you learn from users and the market back into how we position the product.
The best fit is an (previous) engineer or highly technical product marketer who wants to educate through content — technically strong enough to hold a real conversation with serious AI engineering teams, not just describe features. It's a strong plus if you already write publicly, have an audience, contribute to open source, or hold original opinions that experienced AI engineers care about.
If you mainly want an events-and-community role, our Developer Relations Engineer (Events & Community) role is the better fit.
WHY PRODUCT MARKETING ENGINEERING AT LANGFUSE
Langfuse sits inside real AI engineering workflows, which means our marketing has to clear a higher bar: strong engineers should find it genuinely useful, not just accurate. In practice that looks like clear explanations, good demos, runnable examples, honest technical tradeoffs, docs that people bookmark, and launch material with a strong point of view.
This role sits between the product and the market. You should be able to understand how a feature works, explain why it matters, build the examples that proves it, and turn what customers and the community are asking into sharper product communication.
WHAT YOU'LL DO
- 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, deep dives, benchmarks, launch videos, social, conference talks — that translates technical nuance into clear value propositions for developers and teams
- Make our documentation, guides, and examples the best in the category, including demo apps, code samples, and workshop material that users can actually run
- Speak at, organize, and attend high-signal in-person events for AI engineers, and turn each one into reusable product education: talks, demos, workshop repos, and follow-up content
- Own the content strategy and roadmap, informed by competitive and market analysis across LLM observability, evals, and agent tooling, plus metrics on what is actually working
- Partner closely with product, engineering, the ClickHouse product marketing team, sales, solutions, and support to lau