Member of Technical Staff - Product Engineer

Job Description

This job posting has expired and no longer accepting applications.

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 iteration

Architect scalable foundations that support 1-10 growth without rebuilding

Transform customer insights into technical requirements that strengthen our core ML platform

Own 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 contexts

Strong technical background that enables both product vision and hands-on implementation

Experience leading products without a preset playbook – comfort with ambiguity is essential

Ability 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 verticals

Work directly with customers to uncover needs and validate solutions

Collaborate with ML engineers to evolve our technical capabilities

Define and execute rapid experiments to validate product-market fit

Partner with GTM teams to align product and business model

The Right Candidate

Prefers building from scratch over optimizing existing products

Sees technical implementation as a tool for product discovery

Values broad agency over structured processes

Brings founder-level ownership without requiring founder-level equity

Is energized by turning theoretical capabilities into practical value

What You'll Gain

Full mandate over product-market fit and revenue in your vertical

High agency with strong technical and GTM resources

Direct access to enterprise customer problems worth solving

Opportunity to shape the future of efficient AI deployment

In 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.

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