Product Marketing Manager

About this role

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).

WHY THIS ROLE EXISTS

Langfuse has grown mostly through product-led, open-source adoption. We built a strong product, wrote useful docs and examples, stayed close to users, shipped in public, and helped developers understand how to build better AI applications.

Since being acquired by ClickHouse, with access to ClickHouse's broader GTM resources, Langfuse now has a growing enterprise motion and a large self-hosted user base.

This role exists to give Langfuse a clear, accurate narrative that is easier to understand and adopt.

HOW THE ROLE WORKS

This role is for a product marketer who likes technical depth. A technical background is a strong plus, but if you don't have one, curiosity and a drive to go deep will take you just as far.

You'll become a true power user of Langfuse, and gain a front-row seat into how the best AI teams build production applications.

You should expect close working relationships with both Langfuse teams and ClickHouse’s product marketing, sales and regional GTM teams.

WHAT WE'RE LOOKING FOR

- Substantial experience in product marketing, product, or a technical role, including time spent on industry or vertical marketing.

- Past track record of crafting compelling messaging, positioning, and value propositions that resonate with developers, technical buyers, AI teams, enterprise stakeholders, and other highly technical audiences.

- Excellent written and verbal communication skills, with the ability to articulate complex

- concepts clearly and concisely.

- Analytical mindset with the capacity to leverage data and metrics to measure performance in open-source PLG funnels and inform decision-making.

- Cross-functional collaborator comfortable working with stakeholders across functions and levels.

- A strong plus if you have a background in dev tools, open source, observability, or data/cloud infra; and/or if you have an existing public content or writing presence.

WHAT YOU'LL DO

- Build messaging, positioning, and value props that work for developers, technical buyers, and enterprise stakeholders alike

- Own the category narrative (LLM observability, evals, prompt management, agent observability, self-hosting)

- Create sales enablement and marketing collateral and assets, including website content, blogs, webinars and presentations, launch narratives, and more

- Conduct competitive analysis to understand market trends, identify opportunities, and inform product and marketing strategies

- Evaluate and iterate on strategies with metrics and feedback from stakeholders to track efficacy, identify areas for improvement, and make data-driven recommendations

- Lead product and feature launches, and spend time with users, customers, prospects, sales, support, and community members.

PROCESS

We can run the full process to your offer letter in less than 7 days (hiring process https://langfuse.com/handbook/how-we-hire/hiring-process).

TECH STACK

We run a TypeScript monorepo: Next.js on the frontend, Express workers for background jobs, PostgreSQL for transactional data, ClickHouse for tracing at scale, S3 for file storage, and Redis for queues and caching. You should be familiar with a good chunk of this, but we trust you'll pick up the rest quickly (Stack https://langfuse.com/handbook/product-engineering/tech-stack, Architecture https://langfuse.com/handbook/product-engineering/architecture).

HOW WE SHIP

Link to handbook https://langfuse.com/handbook/how-we-work/principles

- We trust you to take ownership (ownership overview https://langfuse.com/handbook/how-we-work/ownership) for your area. You identify what to build, propose solutions (RFCs), and ship them. Everyone here thinks about the user experience and the technical implementation at the same time. Everyone manages their own Linear.

- You're never alone. Anyone from the team is happy to go into a whiteboard session with you. 15 minutes of shared discussion can very much improve the overall output.

- We implement maker schedule and communication. There are two recurring meetings a week: Monday check-in on priorities (15 min) and a demo session on Fridays (60 min).

- Code reviews are mentorship. New joiners get all PRs reviewed to learn the codebase, patterns, and how the systems work (onboarding guide https://langfuse.com/handbook/product-engineering/how-we-work/onboarding).

- We use AI as much as possible in our workflows to make our users happy. We encourage everyone to experiment with new tooling and AI workflows.

WHY LANGFUSE (NOW PART OF C

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