Liquid AI
Product Manager
San Francisco +1 · Hybrid · Manager · Full-time · Posted Jun 24, 2026
- Location
- San Francisco
Boston
About the job
Own product experiments from idea through user validation, working with ML, inference, and engineering teams to refine product direction toward product-market fit.
What you'll do
- Drive one or more product experiments end to end, iterating toward product-market fit using real user feedback.
- Translate ambiguous ideas into clear, buildable product requirements and prioritize what to build, defer, or stop.
- Work closely with ML, inference, and engineering teams, adapting across product bets as priorities change.
What they ask for
- Hands-on ML or applied LLM experience, including building or training models and practical knowledge of prompting versus fine-tuning.
- Use AI and coding tools to prototype and test hypotheses.
- Demonstrated ownership of product direction and prioritization.
- Ability to turn ambiguous ideas into concrete plans with light support.
Nice to have
- Enterprise product expertise, including bringing new products to market.
- Experience at an AI/ML company or on AI-powered products; familiarity with edge or on-device inference, agentic harnesses, evals, or observability.
Tools
ML, LLM, LFM
AI focus
Drive products built around AI models, including customization and fine-tuning; prototype and test hypotheses using AI and coding tools.
Model-written summary · the original posting is authoritative