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 proven our technology works. The theory is realized. Now comes the harder part: turning working tech into indispensable products. This isn't about building features – it's about discovering how our core ML innovations solve real enterprise problems.
The Role: Product Engineer
We're not hiring traditional Product Managers. We're hiring engineers who can shape products because they understand both the technical possibilities and customer realities. Our belief is simple: the best product decisions come from those who can both envision the solution and build it.
The Core Question
"Can you take validated ML technology and turn it into must-have products for enterprises – while being hands-on enough to evolve the technical implementation as you learn?" If this excites you more than managing a predefined roadmap, keep reading.
What Success Looks Like
Drive 0-1 product-market fit in specific enterprise verticals through rapid, hands-on iterationArchitect scalable foundations that support 1-10 growth without rebuildingTransform customer insights into technical requirements that strengthen our core ML platformOwn both the vision and the execution – from customer discovery to technical implementation,
Required Capabilities
Proven track record of 0-1 product development, preferably in enterprise or ML contextsStrong technical background that enables both product vision and hands-on implementationExperience leading products without a preset playbook – comfort with ambiguity is essentialAbility to move fast while building for scale – know when to hack and when to architect,
Core Responsibilities
Drive end-to-end product development within assigned verticalsWork directly with customers to uncover needs and validate solutionsCollaborate with ML engineers to evolve our technical capabilitiesDefine and execute rapid experiments to validate product-market fitPartner with GTM teams to align product and business model,
The Right Candidate
Prefers building from scratch over optimizing existing productsSees technical implementation as a tool for product discoveryValues broad agency over structured processesBrings founder-level ownership without requiring founder-level equityIs energized by turning theoretical capabilities into practical value,
What You'll Gain
Full mandate over product-market fit and revenue in your verticalHigh agency with strong technical and GTM resourcesDirect access to enterprise customer problems worth solvingOpportunity to shape the future of efficient AI deploymentIn essence, this role is for someone who wants to be a founder without being a founder – all the agency and impact, backed by exceptional resources and validated technology.