Liquid AI
Developer Relations
San Francisco
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About the role
- Developers do not yet grasp what a fine-tuned small model can do until they see one running on a phone, in a browser, or on a Jetson board.
- Closing that imagination gap is the job.
- You will ship reference applications and technical resources, communicate regularly with developers across editorial and community channels, and help establish a credible, consistent developer voice for Liquid.
Responsibilities
- 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.
- This is a hands-on developer relations role focused on building, writing, and engaging publicly.
- Technical teams will partner on accuracy, while you will own how the work is explained, presented, and adapted for developer audiences.
- Build the function: You are defining how Liquid goes to market technically, with direct influence on product direction and access to the founding team.
Requirements
- Community native: You enjoy answering hard questions in public, you are comfortable being wrong in front of people, and you know the small-model and edge-AI ecosystem well enough to have real opinions.
- Exceptional public technical communicator: You can turn complex technical work into clear, accurate, compelling writing, talks, demos, and tutorials.
- Efficient model specialization: experience with on-device deployment (iOS, Android, embedded) or specialized work within the efficient-model ecosystem (Phi, Gemma, Qwen, SmolLM, or distilled architectures)
- Demonstrated experience in developer relations, developer advocacy, or community engineering, including direct responsibility for engaging and supporting developers publicly.
- Strong technical writing and editing skills, with the ability to turn complex model, tooling, and deployment concepts into content that developers can understand and act on.
Nice to have
- Active open-source contributions, especially to the inference or efficient-model tooling ecosystem (llama.cpp, MLX, ONNX, Hugging Face libraries)
- Experience organizing or running hackathons, workshops, or developer events
- The LFM quickstart on Hugging Face is the cleanest path to production in the small-model ecosystem, with measurable lift in fine-tunes, downloads, and downstream Spaces.
- A library of on-device reference apps, at least one each on iOS, Android, and an embedded target, that external developers fork, extend, and ship.
- A working developer-friction feedback loop: pain points are surfaced and fixed, OSS contributions land, talks get accepted, and inbound developer interest grows.
Compensation
- Competitive base salary with equity in a unicorn-stage company
- We pay 100% of medical, dental, and vision premiums for employees and dependents
- 401(k) matching up to 4% of base pay
Benefits
- 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
- Time Off: Unlimited PTO plus company-wide Refill Days throughout the year
Company info
- We are scaling rapidly and need exceptional people to help us get there.
- We partner with enterprises across consumer electronics, automotive, life sciences, and financial services.
This listing is sourced directly from Liquid AI's careers page and normalized into a canonical job model.