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. Travel: Significant travel for conferences, meetups, workshops, customer events, and ClickHouse field moments. TL;DR We are hiring an engineer who wants to explain Langfuse in person. This is the events and community side of DevRel. You will organize, attend, and speak at conferences, meetups, workshops, customer events, and community gatherings. Your job is to put Langfuse in the right AI engineering rooms, make the product clear to technical audiences, and turn in-person conversations into durable marketing momentum. This is not primarily a tabletop or booth-staffing role. You should be excited to travel, give talks, run demos, host events, talk to developers and technical leaders, and bring what you learn back into the company. WHY DEVELOPER RELATIONS ENGINEERING (EVENTS & COMMUNITY) AT LANGFUSE Langfuse grows when technical people understand what it is, why it matters, and how it fits into the way they build AI applications. A lot of that happens online through docs, content, GitHub, and product-led growth. But in AI engineering, many of the highest-signal moments happen in person: hallway conversations, workshops, meetups, dinners, conference demos, and technical talks. We want someone who can own that motion end to end. You can understand Langfuse deeply enough to speak credibly with strong engineers, but you also enjoy the practical work of making events happen: picking the right rooms, coordinating speakers, preparing demos, inviting the right people, running the event, collecting feedback, and following up. The goal is not to do every event. The goal is to make the right events excellent, repeatable, and measurable. WHAT YOU'LL DO - Represent Langfuse at conferences, meetups, workshops, customer events, partner events, and community gatherings across Europe and the US. - Speak about Langfuse and AI engineering topics in ways that experienced developers and technical leaders find useful. - Run live demos and technical sessions on tracing, evals, prompt management, datasets, metrics, and related LLM engineering workflows. - Build and maintain field-ready material: demo flows, workshop runbooks, talk abstracts, event landing pages, follow-up emails, signup flows, and conference-in-a-box assets. - Identify which events are worth attending, sponsoring, speaking at, or skipping. - Organize Langfuse-hosted meetups, workshops, dinners, and smaller technical gatherings around the highest-quality audiences. - Partner with ClickHouse field marketing, sales, solutions, product marketing, and engineering teams where it helps Langfuse show up well. - Turn event learnings into useful artifacts: better messaging, better demos, better docs, better talks, better customer stories, and sharper product feedback. - Own the event loop from plan to follow-up: audience, goals, run-of-show, technical content, onsite execution, post-event notes, and next actions. - Help create a repeatable Langfuse field motion so every event does not start from scratch. WHAT WE'RE LOOKING FOR Must - You are an engineer, former engineer, or deeply technical operator who can credibly explain software to experienced developers. - You are excited to travel significantly and spend a meaningful part of your time in the field. - You can give a good technical talk, run a live demo, and handle unscripted questions from strong engineers. - You can organize practical details without losing sight of the technical story. - You care about developer experience, open source, AI engineering, and the quality of the rooms you spend time in. - You are comfortable with ambiguity and can independently decide what to do before there is a mature playbook. - You have strong written and spoken English. Extras - You have worked in DevRel, product marketing engineering, solutions engineering, field engineering, developer advocacy, or technical community roles. - You have spoken at developer conferences, meetups, workshops, webinars, or technical customer events. - You already create technical content, demos, videos, talks, open source projects, or educational material. - You are deep in AI engineering, LLM observability, evals, agents, or developer tools. - You have experience working with sales, field marketing, partner teams, or startup GTM teams. - You have original op