This is a full-time devrel position, well-suited to a gregarious and technical individual who enjoys helping developers solve problems. Your duties will be to attend events and present OpenPipe as the most comprehensive and usable solution for any AI Engineer who would like to fine-tune an LLM (this is actually pretty easy, since it’s true). When not presenting at these events, you’ll spend time talking with developers about problems they’re running into using LLMs in general, and fielding questions around fine-tuning. Between meetups, you’ll build cool demo projects that use fine-tuned LLMs to solve real problems.
You’ll work closely with the OpenPipe team to determine the highest-value features to present, and you’ll help co-sell with the OpenPipe team when we travel down to SF. You’ll be based in SF since it’s the current epicenter of LLM-centered events, but you’ll regularly fly to Seattle to build camaraderie and share what you’ve learned.
QualificationsMust have built something using an LLM in the past
Must be able to speak credibly on technical subjects
Must be able to ask intelligent questions and quickly learn about new subjects in a conversational setting with engineers
You don’t believe in OpenPipe’s long-term vision
You don’t understand the current value-proposition of fine-tuning a SLM
You don’t like presenting in front of large audiences
You don’t enjoy talking to and learning from developers at meetups
You want to spend your time building out a platform, not sharing one and gathering feedback/suggestions of how to make it better
You want to work regular hours
You don’t like flying
You’ll be spending 80% of your time learning from engineers working on cutting-edge technology
You’ll be incredibly up-to-date on the latest LLM-related developments in SF
You want to work at a fast-moving company
** You like helping developers solve problems in ways they didn’t previously believe possible **
Base salary range: $160k-$200k
Generous equity
Healthcare reimbursement credit
Skills Required
- Must have built something using an LLM
- Must be able to speak credibly on technical subjects
- Must be able to ask intelligent questions and quickly learn new subjects in conversational settings with engineers
What We Do
OpenPipe built developer-focused tools for fine-tuning large language models to specific applications. Its platform captured prompts and completions from a customer's existing codebase and used them as training data to create smaller, specialized models that could replace general-purpose LLMs with lower cost, latency, and improved accuracy. OpenPipe also developed open-source tooling for training AI agents; its platform has since migrated to Weights & Biases and CoreWeave.
