About Langfuse

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

• We have the chance to build 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: >2k customers, >14M monthly SDK downloads, >6M docker pulls

• We raised money from world class investors (Y-Combinator, Lightspeed, General Catalyst) and are default alive by making more money than we spend

• We're a small, engineering-heavy, and experienced team in Berlin and San Francisco (how we work)

About the Role

TL;DR

We are hiring an Engineer who want to create content, documentation and engages with our global user base. You are powering our developer relations expanding Langfuse's thought leadership in the LLM ops space. You are owning this function and eventually might build a team around it.

About Langfuse

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

• Massive opportunity, chance to build 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: >2k customers, >14M monthly SDK downloads, >6M docker pulls

• Investors: $4M Seed by Y Combinator, Lightspeed, and General Catalyst

• We're a small, engineering-heavy, focused team in Berlin and San Francisco (how we work)

What you'll do

• Make our documentation the best out there

• Blog & Social posts to define how everyone should think about LLM Engineering

• Write Cookbooks / Code examples that provide real value for users

• Produce Videos and Memes

• Build applications that help us grow in unconventional ways

• Deeply engage with OSS community

What we're looking for

Must

• You are an Engineer who wants to educate through content

• Technical background (Engineering or Data Science)

• You have taste in good content

Extras

• You already create content

• You are deep in AI engineering

• You are equipped to redefine what DevRel means in the age of LLMs

• You have original opinions that experienced Devs value

• You contribute to OSS projects

• Software Engineering work experience is a big plus

Why Langfuse?

• Building for very sophisticated technical users

• Competitive salary & equity compensation

• Strong customer & revenue growth

• You are joining really early

• Extreme autonomy

• Performance and learning focused culture

• Everyone on the team says: "best place I've ever worked at"

• 2 short scheduled meetings per week

Our Process

We can run this process in less than 7 days.

1. Fill out application

2. We screen your application

3. First Call: Quick intro & chat about logistics

4. Second Call: Founder Deepdive (40mins), remote

5. Third Call: Technical Deep Dive interview (60min)

6. Super Day ( half or full day in Office, remote in some cases)

7. Meet the other founders (short calls)

8. Decision & Offer

Links

• All repos: github.com/langfuse

• Company handbook: langfuse.com/handbook

• Team: https://langfuse.com/handbook/chapters/team

• How we hire: langfuse.com/handbook/how-we-hire

• Blog: langfuse.com/blog

Some people who’s DevRel work we like:

• Lee Robinson - built DevRel at Vercel now at cursor

• Swyx - running latent space pod and writes about DevRel

• Lars Grammel - building and writing about AI SDK

• Max Tkacz - who built the n8n community & content machine

• Ishan of Exa who shipped twitterwarpped.exa

• Aymeric & prev. David creating content & courses at hugginface