Product Manager
Liquid AIVisit Liquid AI website
Liquid AI is an efficiency-first foundation-model company building device-native Liquid Foundation Models (LFMs) and tools to customize and deploy them.
Cambridge, Massachusetts, United States
Funding history
About Liquid AI
An MIT CSAIL spinout, Liquid AI develops general-purpose AI models focused on efficient deployment across CPUs, GPUs, NPUs, edge devices, and cloud or on-premises environments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own product experiments from early ideas through product-market fit. You will turn ambiguous concepts into buildable requirements, put products in front of users, gather feedback, prioritize decisions, and work closely with ML, inference, and engineering stakeholders.
Requirements
- Hands-on ML or applied LLM experience
- Knowledge of prompting and fine-tuning in practice
- Ability to use AI and coding tools to prototype and test hypotheses
- Experience owning product direction and prioritization
- Ability to turn ambiguous ideas into concrete buildable plans
Responsibilities
- Own product experiments end-to-end and drive them toward product-market fit
- Turn vague ideas into executable product requirements
- Put products in users' hands early, gather feedback, and iterate
- Prioritize what to build, defer, or discontinue
- Work closely with ML, inference, and engineering teams
Benefits
- Equity
- Medical, dental, and vision premiums fully paid for employees and dependents
- 401(k) matching up to 4% of base pay
- Unlimited PTO
- Company-wide Refill Days