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.
Fill out application
We screen your application
First Call : Quick intro & chat about logistics
Second Call : Founder Deepdive (40mins), remote
Third Call : Technical Deep Dive interview (60min)
Super Day ( half or full day in Office, remote in some cases)
Meet the other founders (short calls)
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
#J-18808-Ljbffr
Founding Engineer • San Francisco, CA, United States