Product Marketing 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). Workplace: Remote-friendly. European roles are remote-first with one week per month in Berlin. For US candidates, San Francisco is preferred, but we are open to exceptional candidates anywhere in the US. TL;DR We are hiring a Product Marketing Engineer who can understand Langfuse deeply, use the product hands-on, and explain it better than anyone else. In many companies, this would also be called a Developer Advocate. This is a technical product advocacy role. You will write, build demos, improve docs, create launch content, speak at events, organize technical sessions, run product deep dives, explain how AI teams should think about observability/evals/prompt management, and help define how Langfuse shows up in the market. The best person for this role is an engineer or highly technical product marketer who wants to educate through content. It is a strong plus if you already write publicly, have an audience, contribute to open source, or have original opinions that experienced AI engineers care about. If you mainly want an events-and-community DevRel role, our Developer Relations Engineer (Events & Community) role is the better fit. This role is closer to the product: you should be technically strong enough to advocate for Langfuse with serious AI engineering teams, explain the details, and turn what you learn from the market back into better product communication. WHY PRODUCT MARKETING ENGINEERING AT LANGFUSE Langfuse needs technical product communication that is useful enough for strong engineers. The product sits inside real AI engineering workflows, so the best marketing looks like clear explanations, good demos, runnable examples, honest technical tradeoffs, useful docs, and opinionated launch material. This role is for someone who wants to live close to the product and the market at the same time. You should be able to understand how a feature works, explain why it matters, build the example that proves it, and turn customer and community questions into better 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, 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