---
title: 'Senior Product Engineer at Langfuse'
canonical: 'https://feeny.ai/job/senior-product-engineer-langfuse-europe-yc9z6j0zgcy6'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Product Engineer at Langfuse

- **Company:** Langfuse
- **Location:** Europe
- **Compensation:** €90k–€160k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-02-17
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/langfuse/a2c4e24c-21d1-4a9f-8d46-422d0592efd6

## Job description

## 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 PRODUCT ENGINEERING AT LANGFUSE

Your work will have an outsized impact.

Everything you build is open source (MIT-licensed) and immediately visible. Langfuse has 21,900+ GitHub stars and our SDKs are downloaded 23M+ times per month. When you ship a new feature the community notices in GitHub issues, on X, and in our community channels.

Product engineers at Langfuse are the people who deliver new features end-to-end to our users. You own the product thinking from understanding the user problem to deciding what to build to shipping the solution.

You will also have direct exposure to how cutting-edge LLM applications are built. The users you serve are some of the best and most ambitious software engineers leveraging Langfuse to improve their applications. Deeply understanding the problems they solve will help you design the best possible product and along the way makes you an expert on LLM engineering yourself.

## YOU WILL GROW AT LANGFUSE BY

- Own features end-to-end: from talking to users, to writing the spec, to shipping the code and docs, to writing the changelog post https://langfuse.com/changelog with your name on it. To give you a sense: recent features a single engineer owned include the Langfuse for Agents https://langfuse.com/changelog/2025-11-05-langfuse-for-agents release (new trace views, agent graphs, semantic span labels), the TypeScript SDK v4 https://langfuse.com/changelog/2025-08-28-typescript-sdk-v4-ga rewrite on OpenTelemetry, and the hosted MCP server https://langfuse.com/changelog/2025-11-20-hosted-mcp-server for prompt management.
- Work across the full stack: and we mean full. Our surface area is wide: React frontend, Next.js backend, ClickHouse analytics, Python and TypeScript SDKs, public docs, Terraform modules, and more. You'll touch whatever the feature needs. One week you might be writing a new ClickHouse query for cost analytics, the next you're designing an SDK API, the next you're building a new React view for agent traces.
- Talk to users constantly: jump on calls, respond in community channels, and route support requests. At Langfuse, support is how we build conviction about what to build next. Our handbook says it best: support by engineers is a core value proposition.
- Write public documentation about the features you own. At Langfuse, docs are product.
- Ship publicly during Launch Weeks: we've run four Launch Weeks https://langfuse.com/blog/2025-10-29-launch-week-4 so far, dropping a new feature every day for a week. Engineers present the features they built to the community.

## WHAT WE’RE LOOKING FOR

- Someone who has built features or even entire products from scratch end-to-end
- Experience building and shipping user-facing products end-to-end, ideally in TypeScript/React and with exposure to data-intensive backends
- Someone who can manage projects themselves. You know how to develop strong conviction about what to build and how to ship it.
- Taste for great developer experience: you care about API design, UI details, and clear documentation
- Interest in open source software and genuine excitement about talking to developers about their problems
- Thrives in a small, accountable team where your output is visible and matters
- CS or quantitative degree preferred

Bonus points:

- Experience with ClickHouse, analytics databases, or building complex data visualizations
- Former founder or early startup experience
- Contributions to popular open source projects
- ML/AI background or familiarity with the LLM framework ecosystem

No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.

## 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 CLICKHOUSE)

- 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 https://langfuse.com/changelog for the features you build, and during launch weeks, you'll produce videos https://langfuse.com/blog/2025-10-29-launch-week-4 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 https://langfuse.com/blog/joining-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.

## About Langfuse

## Company Overview
- **One-liner**: Langfuse is an open-source AI engineering platform that provides observability, prompt management, evaluations, and analytics for teams building LLM applications.
- **Entity Type**: Private (Acquired by ClickHouse in January 2026)
- **Headquarters**: San Francisco, USA & Berlin, Germany
- **Founded**: 2022
- **Founders**: Marc Klingen (CEO), Max Deichmann (CTO), Clemens Rawert (COO)

## Core Business
- **Primary industry**: AI Engineering / LLM Observability & Evaluation
- **Target customers**: B2B, Enterprise, and Developer teams building LLM applications
- **Mission**: To help teams build, monitor, and improve LLM applications across the full development lifecycle, enabling more AI applications to reach production

## Products & Services
- **Langfuse Platform**: An integrated open-source (MIT licensed) platform combining observability (hierarchical traces), prompt management, evaluations (LLM-as-a-judge, heuristics, human review), experiments, and analytics dashboards. It covers the full LLM engineering loop from prototype to production.
- **Self-Hosted Deployment**: Available via Docker Compose, Kubernetes (Helm), and Terraform for AWS, GCP, and Azure. Scales to billions of monthly events.
- **Cloud / Managed Service**: Free tier (50k observations/month) and paid enterprise tiers with 99.9% uptime SLA.
- **SDKs & Integrations**: Native SDKs for Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift; OTel-native; 100+ integrations with frameworks (LangChain, Vercel AI SDK, CrewAI) and model providers (OpenAI, Anthropic, Google Gemini).
- **MCP Server & CLI**: Developer tools for interacting with Langfuse from IDEs and CI/CD pipelines.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (acquired by ClickHouse in January 2026)
- **Key Metric**: Processes 10+ billion observations per month; 50M+ SDK installs/month; 2,300+ customers
- **Notable Investors/Partners**: Backed by Lightspeed, General Catalyst, Y Combinator, and angel investors. Acquired by ClickHouse (January 2026). Used by 19 of the Fortune 50, including Canva, Samsara, Twilio, Khan Academy, and Intuit.
- **Growth Signals**: Acquired by ClickHouse in January 2026; 22,000+ GitHub stars; 5,000+ Discord members; 100,000+ engineers building on the platform; team grew to 19 people (as of YC profile); 50M+ SDK installs/month.

## Competitive Advantages
- **Open Source (MIT License)**: Full product features are MIT licensed, allowing self-hosting, forking, and modification — no vendor lock-in.
- **OTel Native & Async by Default**: Works with standard OpenTelemetry instrumentation and never blocks application performance.
- **Built for Scale**: ClickHouse OLAP backend enables querying millions of traces in milliseconds; processes 10+ billion observations/month.
- **Full Lifecycle Platform**: Combines observability, prompt management, evals, experiments, and human annotation in one integrated workflow — not just a point solution.
- **Enterprise Trust**: Used by 19 of the Fortune 50, with strong security and compliance posture.

## Strategic Focus
- **Post-Acquisition Growth**: Joining ClickHouse to accelerate growth, likely focusing on deeper integration with ClickHouse's OLAP database and expanding enterprise reach.
- **Developer Experience**: Continued investment in MCP servers, CLI tools, and coding agent integrations (Claude Code, Cursor, Codex) to make the platform "made for developers, loved by agents."
- **Open Source Community**: Maintaining the largest OSS community in the LLM observability category, with weekly releases and community hours.

## Why Work Here
- **Strong Traction & Impact**: Work on a platform used by 19 of the Fortune 50, processing 10+ billion observations/month — your work directly impacts how the world's leading AI teams ship production LLM applications.
- **Remote-First with In-Person Connection**: European roles are remote-first with one week per month in Berlin (travel covered); SF and Berlin locals use the office when useful. Flexible, async-friendly culture.
- **Transparent Culture**: Everything is public — the company handbook, core principles, processes, and metrics. Radical transparency for alignment and community trust.
- **Acquired by ClickHouse**: Joining a larger, well-funded infrastructure company (ClickHouse) provides stability, resources, and a broader platform for growth while maintaining Langfuse's product identity.
- **Small, High-Impact Team**: ~19 people as of acquisition, meaning significant ownership and influence for new hires.
- **Open Source Ethos**: MIT-licensed codebase, active community (22k+ GitHub stars, 5k Discord members), and a culture of contribution.

## Sources
1. [langfuse.com](https://langfuse.com/)
2. [langfuse.com/careers](https://langfuse.com/careers)
3. [jobs.ashbyhq.com/langfuse](https://jobs.ashbyhq.com/langfuse)
4. [ycombinator.com/companies/langfuse](https://www.ycombinator.com/companies/langfuse)
5. [github.com/langfuse/langfuse](https://github.com/langfuse/langfuse)

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