Our goal at Liquid is to build the most capable AI systems to solve problems at every scale, such that users can build, access, and control their AI solutions. This is to ensure that AI will get meaningfully, reliably and efficiently integrated at all enterprises. Long term, Liquid will create and deploy frontier-AI-powered solutions that are available to everyone.
We've built something fundamentally different. Now we need someone who can get developers to actually use it.
The Challenge
"Developers don't care about novel architecture until it solves a problem they have faster, cheaper, or better than what they're already using."
This role is about convincing experienced ML engineers that there's a better way to build, and proving it through code.
If that excites rather than intimidates you, keep reading.
What You'll Own
Developer Experience: Everything from first API call to production deployment needs to feel effortlessTechnical Content: Demos, tutorials, and reference implementations that make our differentiation tangibleCommunity Presence: Drive community impact, engagement and management through talks, writing, hackathons, and hands-on engagement wherever ML engineers shape the future. Bias for action essential.Feedback Loop: Translating real developer friction back to our engineering teamsAdoption Metrics: Moving the needle from "interesting research" to "production workloads",
What We Need
Obsess over impact, bring relentless care and craftsmanship to building things that truly matter to usersYou've shipped code that other developers actually useYou can explain complex technical concepts without dumbing them downYou have strong opinions about what makes foundation models actually useful vs just impressiveYou understand the difference between research demos and production-ready tools,
Day-to-Day Reality
Relentlessly engage with developers, manage community feedback loops, and champion insights that shape Liquid productBuilding integration examples that solve real problems developers faceWriting documentation that assumes intelligence but not telepathyRepresenting our technical decisions at conferences and in technical forumsWorking directly with research teams to influence roadmap based on developer needsCreating content that demonstrates why our approach matters for production use cases,
The Right Person
Gets excited about enabling others to build cool thingsUnderstands that adoption happens through hands-on experience, not marketing copyEnjoys the technical depth required to credibly discuss novel model architecturesPrefers showing rather than tellingThrives in the ambiguity of building developer programs for genuinely new technologyYou'll be our first line of contact with the developer community, which means you're not just explaining what we've built – you're helping shape what we build next based on how people actually want to use it.
The goal isn't just awareness. It's developers choosing us for their next project because the experience is genuinely better.
