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

Must-have Desired Experience

• 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