Liquid Ai
Product Manager
San Francisco, Remote. Posted 4 months ago
The role
The Product Manager will drive specific product bets from idea to product-market fit. You will own product experiments and work with ML, inference, and engineering teams to turn ideas into executable direction.
What you will do
- 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.
- Put the product in real users' hands early, gather genuine feedback, and iterate.
- Decide what to build now, what to defer, and what to kill.
- Work closely with ML, inference, and engineering teams.
Required qualifications
- Direct, hands-on ML or applied LLM experience.
- Experience building or training models.
- Knowledge of the difference between prompting and fine-tuning in practice.
- Knowledge of when an LFM is the right tool.
- A strong bias for action using AI and coding tools to prototype and test hypotheses.
- Demonstrated ownership of product direction and prioritization.
- Ability to turn an ambiguous idea into a concrete, buildable plan with light support.
Nice to have
- Enterprise product expertise.
- Experience at an AI/ML company or on AI-powered products.
- Familiarity with edge or on-device inference, agentic harnesses, evals, or observability.
Benefits
- Focused ownership
- Competitive base salary with equity
- 100% of medical, dental, and vision premiums paid for employees and dependents
- 401(k) matching up to 4% of base pay
- Unlimited PTO
- Company-wide Refill Days throughout the year
About the company
Spun out of MIT CSAIL, liquid-ai builds general-purpose AI systems that run efficiently across deployment targets. They partner with enterprises across consumer electronics, automotive, life sciences, and financial services.