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About the Role
This Developer Relations Engineering role focuses on events and community, explaining Langfuse in person to technical audiences. The goal is to drive product understanding and marketing momentum by organizing, attending, and speaking at various technical gatherings, ensuring excellent, repeatable, and measurable event execution.
Responsibilities
- Represent Langfuse at conferences, meetups, workshops, customer, partner, and community events across Europe and the US.
- Speak on Langfuse and AI engineering topics to experienced developers and technical leaders.
- Conduct live demos and technical sessions on LLM engineering workflows (tracing, evals, prompt management, datasets, metrics).
- Build and maintain field-ready materials: demo flows, workshop runbooks, talk abstracts, event landing pages, follow-up emails, signup flows, and conference assets.
- Identify and evaluate events for attendance, sponsorship, or speaking opportunities.
- Organize Langfuse-hosted technical gatherings: meetups, workshops, and dinners.
- Partner with ClickHouse field marketing, sales, solutions, product marketing, and engineering teams.
- Translate event learnings into improved messaging, demos, documentation, talks, customer stories, and product feedback.
- Own the end-to-end event loop: planning, goals, run-of-show, content, execution, notes, and follow-up actions.
- Develop repeatable field motions for events.
Requirements
- Engineer, former engineer, or deeply technical operator capable of explaining software to experienced developers.
- Eager for significant travel and field presence.
- Proficient in delivering technical talks, running live demos, and handling unscripted questions from engineers.
- Able to manage practical event details while maintaining the technical narrative.
- Passionate about developer experience, open source, AI engineering, and community quality.
- Comfortable with ambiguity and capable of independent decision-making.
- Strong written and spoken English.
- Experience in DevRel, product marketing engineering, solutions engineering, field engineering, developer advocacy, or technical community roles.
- Experience speaking at developer conferences, meetups, workshops, webinars, or technical customer events.
- Experience creating technical content, demos, videos, talks, open source projects, or educational material.
- Deep knowledge in AI engineering, LLM observability, evals, agents, or developer tools.
- Experience collaborating with sales, field marketing, partner teams, or startup GTM teams.
- Ability to write code for building, debugging, and maintaining demos or workshop material.
Skills
- Software explanation to experienced developers
- Technical presentation
- Live demo execution
- Handling unscripted technical questions
- Event organization and practical coordination
- Written communication (English)
- Spoken communication (English)
- Technical content creation
- Coding (for demos/workshop material)
- AI engineering
- LLM observability
- Evaluation (evals)
- Agents
- Developer tools
Location
- Remote-friendly (US)
- Remote-first (Europe)
- Berlin (one week per month for European roles)
- San Francisco (preferred for US candidates)
- United States
- Europe
Work Type
- Full-time
- Remote-friendly
- Remote-first
- Travel-heavy
Experience Level
- Experienced developer level
- Technical leader level
- Engineer or deeply technical operator
About the Company
- Open Source LLM Engineering Platform.
- Helps teams build useful AI applications via tracing, evaluation, and prompt management.
- Part of ClickHouse since January 2026.
- Aims to be the "Datadog" of LLM engineering.
- Largest open source solution in its category.
- Trusted by 19 of the Fortune 50, >2k customers, >26M monthly SDK downloads, >6M Docker pulls.
- Previously backed by Y Combinator, Lightspeed, and General Catalyst.
- Small, engineering-heavy, and experienced team.
- Focuses on core problems in AI engineering: understanding, evaluating, and improving production LLM applications.
- Ships daily, engages with customers constantly, and prioritizes developer experience.
- Solves hard engineering problems: improving AI product performance, building SDKs, visualizing data-rich traces, rendering massive LLM prompts/completions, and processing terabytes of data.
- Experiencing strong growth, accelerated by ClickHouse's GTM.