Product Manager
Hybrid (San Francisco), Hybrid (Boston)Full-timePosted 6mo ago
About the role
Product Manager to drive specific product bets from idea to product-market fit in a hands-on, ground-level role focused on customization & fine-tuning of AI models, working with ML, inference, and engineering teams.
Responsibilities
- 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.
- Put the product in real users' hands early, gather genuine feedback, and iterate.
- Ruthlessly prioritize: decide what to build now, what to defer, and what to kill.
- Work closely with ML, inference, and engineering teams, and flex across bets as priorities shift.
Qualifications
- 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.
- A strong bias for action: you use AI and coding tools to prototype and test hypotheses yourself, so your insights are higher-signal than a PM who ran deep research once.
- Demonstrated ownership of product direction and prioritization, not just execution against a handed-down roadmap.
- The ability to turn an ambiguous idea into a concrete, buildable plan, with light support rather than heavy coaching.
Skills
Required:Product leadership and roadmappingHands-on ML / applied LLMExperiment design and PMF
Nice to have:Prototyping with AI tools
Benefits
- Focused ownership: You drive a product bet end to end rather than owning a sliver of a large platform.
- 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.
- Financial: 401(k) matching up to 4% of base pay.
- Time Off: Unlimited PTO plus company-wide Refill Days throughout the year.
Last updated Oct 14, 2026. Interested? Apply on the company site.
About Liquid AI
Build efficient general-purpose AI at every scale.
We build efficient general-purpose AI at every scale. Liquid Foundation Models (LFMs) are a new generation of generative AI models that achieve state-of-the-art performance at every scale, while maintaining a smaller memory footprint and more efficient inference.
AIEdge AIFoundation ModelsGenerative AIliquid-ai-recruiting-target
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