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Liquid AI

Product Manager

Liquid AI

Product Manager developing AI solutions for enterprise customers. Collaborating with engineering and sales teams to deliver repeatable AI offerings.

Posted 6/24/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact
  • Own one or more GTM-ready solutions end-to-end, from definition through scalable customer deployment
  • Extract learnings from customer engagements and identify patterns that can be productized
  • Work with ML and inference teams to build tooling that collapses implementation overhead
  • Define ICPs, pricing, and packaging for repeatable solutions
  • Partner with GTM teams to scale outbound sales motions around productized offerings

Requirements

What you’ll need
  • Engineering, ML, or CS background with demonstrated technical fluency
  • Track record of owning product strategy, not just executing on handed roadmaps
  • Outbound product management experience with enterprise customers
  • Direct experience gathering and acting on customer feedback to shape product direction
  • Nice-to-have: Experience at an AI/ML company or working on AI-powered products
  • Experience in relevant verticals (automotive, consumer electronics, life sciences, financial services)
  • B2B experience with large enterprises, as well as mid-market

Benefits

Comp & perks
  • Full Ownership: You own your solution from customer discovery through deployment.
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
product strategycustomer deploymentMLAI-powered productsproduct managementcustomer feedback analysispricing strategypackaging strategyoutbound sales motions
Soft Skills
technical fluencypattern recognitioncollaborationcustomer engagementproblem-solving