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About the Role

This technical product advocacy role involves understanding Langfuse deeply, using the product hands-on, and explaining it effectively. The Product Marketing Engineer will create technical product communication, including explanations, demos, examples, and documentation, to help AI engineering teams understand observability, evaluations, and prompt management. The role requires close collaboration with both the product and the market to translate features into value and improve product communication based on user feedback.

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
Translate technical features and nuance into clear value propositions for developers and teams
Work closely with product, engineering, and the ClickHouse product marketing team to launch new capabilities with sharp positioning and useful technical proof
Make documentation, guides, and examples the best in the category
Build demo apps, code examples, and workshop material that users can 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 content strategy and roadmap based on product priorities, customer questions, community signals, search demand, and current AI engineering trends
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 next steps
Spend time with users, community members, sales, solutions, and support to ground product communication in real customer problems

Requirements

Be an engineer, data scientist, developer advocate, product marketing engineer, or technical product marketer capable of deep product understanding
Possess 5+ years of relevant experience across engineering, technical product marketing, DevRel, data science, technical writing, developer tools, or a similar technical field
Write exceptionally well, making complex technical ideas simple without being shallow
Code sufficiently to build examples, inspect SDKs, understand traces, and maintain credibility with strong engineers
Advocate for a technical product effectively in person and in writing, explaining both how it works and why it matters
Demonstrate taste in good content and strong opinions about useful technical writing
Own projects end to end, from initial input to shipped public asset
Collaborate effectively across product, engineering, marketing, sales, solutions, support, and ClickHouse counterparts
Be curious about AI engineering and stay current with developer builds

Skills

Deep product understanding of Langfuse
Exceptional technical writing
Coding for examples and SDK inspection
Technical product advocacy (in-person and written)
Content taste and strong opinions on technical writing
End-to-end project ownership
Cross-functional collaboration
Curiosity about AI engineering
Content creation (blog posts, videos, talks, social posts, newsletters, docs, open-source examples, technical explainers)
Audience engagement or existing technical audience
Expertise in LLM applications, agents, evals, prompt engineering, RAG, or observability
Market analysis (benchmarks, competitive deep dives, technical market analysis)
Public speaking at technical events
Event organization (developer events, workshops)
Community building around technical products
Open-source project contributions
On-camera and on-stage presence
Knowledge of ClickHouse, SQL, analytics systems, or data infrastructure

Location

Berlin
San Francisco
US (remote)
EU timezones (remote)

Work Type

Remote-friendly
Remote-first (European roles)
Hybrid (one week per month in Berlin for EU roles)

Experience Level

5+ years of relevant experience

About the Company

Langfuse is an Open Source LLM Engineering Platform that helps teams build useful AI applications via tracing, evaluation, and prompt management.
Now part of ClickHouse, aiming to be the 'Datadog' of LLM engineering.
The largest open source solution in its category, trusted by 19 of the Fortune 50, over 2k customers, over 26M monthly SDK downloads, and over 6M Docker pulls.
Joined ClickHouse in January 2026 to accelerate product development, maintain open source and self-hosting principles, and enhance GTM and sales.
Previously backed by Y Combinator, Lightspeed, and General Catalyst.
A small, engineering-heavy, and experienced team with presence in Berlin and San Francisco.
At the forefront of the AI revolution, partnering with engineering teams building defining technology.
An open-source devtools company focused on daily shipping, constant customer interaction, and excellent developer experience.
Prioritizes reliability and performance.
Solves hard engineering problems related to AI product performance, SDK development, data visualization, and large-scale data processing.
Experiencing strong organic growth, accelerated by ClickHouse's GTM.
Fosters continuous learning in the fast-paced AI space.