Liquid AI

Product Manager

San Francisco

Sponsorship not specifiedDetected 27 days ago

Machine LearningLLMs5G/LTEResearch

About the role

It is not a traditional SaaS PM role: the model and the product are inseparable, our core offering is customization & fine-tuning rather than prompt-only use, and real model depth is a prerequisite.

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're hiring a Product Manager to drive specific product bets from idea to product-market fit.
you own an experiment, or a small set of them, get the product into real users' hands, and iterate toward PMF, working shoulder to shoulder with our ML, inference, and engineering teams to turn their energy into crisp, executable direction.
You turn high-energy, unfocused ideas into tight, executable product direction that engineers can build against.
You put products in front of real users early and let honest feedback drive decisions.
Own one or more active product experiments end-to-end and drive them toward product-market fit.
Turn vague, high-energy ideas into tight, executable product requirements that engineers can build against.
You drive a product bet end to end rather than owning a sliver of a large platform.
Focused ownership: You drive a product bet end to end rather than owning a sliver of a large platform.

Direct, hands-on ML or applied LLM experience: you have built or trained models, you know the difference between prompting and fine-tuning in practice, and you know when an LFM is the right tool.
you have built or trained models, you know the difference between prompting and fine-tuning in practice, and you know when an LFM is the right tool.

Enterprise product expertise: the focus and execution it takes to bring a new enterprise product to market and win in enterprise.
Experience at an AI/ML company or on AI-powered products.
Familiarity with edge or on-device inference, agentic harnesses, evals, or observability.
You have established a repeatable way to get products in front of users and turn their feedback into decisions.

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.

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.

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.

This listing is sourced directly from Liquid AI's careers page and normalized into a canonical job model.