Forward Deployed Engineer

Open Source LLM Engineering Platform that helps teams build useful AI applications via tracing, evaluation, and prompt management (mission, product). 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).

We have strong traction, are default alive, and growing fast. We’re now looking for a Forward Deployed Engineer to join our team in person in San Francisco.

As the first Forward Deployed Engineer, you’ll shape how Langfuse partners with users and customers to ensure successful onboarding, adoption, and long-term growth. You’ll work closely with founders, engineering, and GTM teams to help technical users get the most out of Langfuse.

• Act as a trusted advisor to technical stakeholders from cutting edge AI companies using and scaling Langfuse.

• Lead technical onboarding with Langfuse and advise on architecture, implementation like tracing set up, Evals, and general AI Engineering Life Cycle.

• Provide hands-on guidance and best practices for LLM observability and evaluation.

• Help customers debug issues as the main point of contact for technical and operational questions.

• Track product adoption and proactively reach out to help customers increase value from Langfuse.

• Translate customer needs into actionable product feedback.

• Build and maintain feedback loops between users, sales, and product teams.

• Help shape documentation and learning resources to reduce friction.

• Build and maintain workflows for tracking adoption, success metrics, and customer health.

• Document playbooks, best practices, and internal tooling for the success function.

• Partner with sales and product to align priorities across the user lifecycle.

• Experience in solutions engineering, solutions architect, forward deployed engineer at a SaaS/devtool company.

• Strong technical aptitude, comfortable to debugging APIs, code, logs, and understands developer workflows.

• Excellent communication and problem-solving skills.

• Comfortable working cross-functionally in a fast-moving startup.

• Willingness to work in-person in SF ~4 days/week.

• You’ve used Langfuse (sign up for a free account here).

• Familiarity with open-source or developer-focused products.

• Experience supporting or building with LLM/AI tools.

• Entrepreneurial mindset - you enjoy building new processes and solving ambiguous problems.

• Work with sophisticated technical users and top engineering teams.

• Competitive salary & equity.

• Rapid customer and revenue growth.

• Join early and shape the company’s culture and processes.

• Extreme autonomy and focus on outcomes.

• Team culture described by everyone as “the best place I’ve ever worked.”

• Only two short scheduled meetings per week.

You’ll join our early core team, working closely with Marc (CEO, product/GTM) and Akio (Founding GTM). We prioritize in-office collaboration, learning, and ownership.

Learn more about us at langfuse.com/handbook.

We can run the full process to your offer letter in less than 7 days (hiring process).

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, Architecture).

Link to handbook

• We trust you to take ownership (ownership overview) 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).

• 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.

• This role puts you at the forefront of the AI revolution, partnering with engineering teams who are building the technology that will define the next decade(s).

• This is an open-source devtools company. We ship daily, talk to customers constantly, and fight for great DX. Reliability and performance are central requirements.

• Your work ships under your name. You'll appear on changelog posts for the features you build, and during launch weeks, you'll produce videos to announce what you've shipped to the community. You’ll own the full delivery end to end.

• We're solving hard engineering problems: figuring out which features actually help users improve AI product performance, building SDKs developers love, visualizing data-rich traces, rendering massive LLM prompts and completions efficiently in the UI, and processing terabytes of data per day through our ingestion pipeline.

• You'll work closely with the ClickHouse team and learn how they build a world-class infrastructure company. We're in a period of strong growth: Langfuse is growing organically and accelerating through ClickHouse's GTM. (Why we joined ClickHouse)

• If you wonder what to build next, our users are a Slack message or a Github discussions post away.

• You’re on a continuous learning journey. The AI space develops at breakneck speed and our customers are at the forefront. We need to be ready to meet them where they are and deliver the tools they need just-in-time.