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Product Manager

Liquid AI · San Francisco · Boston

CHECKED 23H AGO

Frontier labremote
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At a glance

Highlights

  • Drive product bets end to end from ambiguous idea to product-market fit.
  • Put products in real users' hands early and iterate toward validated direction.
  • Own focused bets with crisp direction instead of a sliver of a large platform.

What they offer

  • Competitive base salary with equity in a unicorn-stage company
  • 100% medical, dental, and vision premiums for employees and dependents
  • 401(k) matching up to 4% of base pay
  • Unlimited PTO plus company-wide Refill Days

Ideal candidate

Hands-on, AI-native builder who turns ambiguous ideas into crisp direction and puts products in front of users early. You have conviction, update with evidence, and thrive owning bets end to end.

Requirements

  • Direct, hands-on ML or applied LLM experience building or training models
  • Understand prompting vs fine-tuning in practice and when LFMs fit
  • Use AI and coding tools to prototype and test hypotheses yourself
  • Demonstrated ownership of product direction and prioritization
  • Turn ambiguous ideas into concrete, buildable plans with light support

Lab profile

About Liquid AI

MIT CSAIL spinout building efficient general-purpose AI for cloud to edge.

What they build

  • Liquid Foundation Models
  • LFM2.5-Audio

Known for

  • Efficiency-first foundation models
  • Data center to on-device deployment
  • Low latency with minimal memory usage
  • Liquid Neural Networks architecture

Key facts

  • Spun out of MIT CSAIL
More about Liquid AI →
Apply on the lab’s site ↗