Member of Technical Staff - Developer Relations
About Liquid AI
Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.
The Opportunity
This is a rare chance to sit at the intersection of frontier foundation models and the open-source ecosystem. You'll own developer relations and community engagement end-to-end, shaping how LFMs are adopted, documented, and integrated across the AI landscape. Unlike most roles that force a trade-off between community impact and core technical work, this role gives you both: deep ownership over how our models are presented, documented, and adopted by the community, and a direct line into how Liquid communicates with developers worldwide. If you care about great documentation, developer experience, and making models accessible to the broader community, this is a chance to shape how open-source AI is done at a foundation model company.
What We're Looking For
We need someone who:
Takes ownership: Owns open-source partnerships from initial outreach through ongoing collaboration.
Thinks community-first: Can reason across documentation, tutorials, integrations, and support as a unified developer experience.
Is pragmatic: Optimizes for developer adoption and partner success over vanity metrics.
Communicates clearly: Can translate between technical teams and external partners, and represent Liquid's interests while building genuine relationships.
The Work
Act as the primary point of contact for open-source partners
Support model releases with marketing and technical content
Produce tutorials, articles, and guides on training and using LFMs
Maintain and improve LFM documentation to ensure clarity and completeness
Gather community feedback and relay it to internal teams
Desired Experience
Must-have:
Familiarity with the open-source AI ecosystem and its key players
Hands-on experience with LLM training, fine-tuning, or deployment
Track record of building and maintaining external partnerships or community relationships
Nice-to-have:
Prior work in developer relations, developer advocacy, or technical marketing
Experience contributing to or maintaining open-source ML projects
Familiarity with inference frameworks or training tools
What Success Looks Like (Year One)
Has established and maintained strong relationships with key open-source partners
LFM documentation is comprehensive, well-organized, and praised by the developer community
Has produced a portfolio of tutorials and technical content that drives adoption
Is recognized in the community as a helpful, knowledgeable representative of Liquid AI
What We Offer
Shape the narrative: You'll define how the developer community experiences Liquid AI, from first contact to deep integration.
Compensation: Competitive base salary with equity in a unicorn-stage company
Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
Financial: 401(k) matching up to 4% of base pay
Time Off: Unlimited PTO plus company-wide Refill Days throughout the year