AI Product Manager - West Coast (Remote)

UnframeSan Francisco, CA
Remote

About The Position

As an AI Product Manager at Unframe, you’ll sit at the intersection of AI, product, and customer impact. You’ll work closely with enterprise customers and internal teams to turn ambitious ideas into real AI-powered solutions - fast. This isn’t a traditional PM role focused on roadmaps and endless meetings. You’ll be deeply involved in shaping solutions, defining logic, collaborating with engineers and AI specialists, and driving products from concept to deployment. Every project is different, which means constant learning, real ownership, and the opportunity to solve meaningful problems for some of the world’s largest companies. If you’re excited by fast execution, complex systems, and practical AI applications that actually reach production - you’ll feel right at home here.

Requirements

  • 6+ years of experience in Product Management, Solutions Engineering, Technical Program Management, or similar customer-facing technical roles.
  • Experience working closely with engineering teams on complex technical products.
  • Strong systems thinking with the ability to break down ambiguous problems into actionable solutions.
  • Excellent communication skills in English - both written and verbal.
  • High attention to detail with strong ownership and execution skills.
  • Comfortable operating in fast-paced startup environments with evolving priorities.
  • Curiosity and excitement around AI products, LLMs, and emerging technologies.

Responsibilities

  • Partner directly with enterprise customers to deeply understand their workflows, challenges, and goals.
  • Translate complex customer needs into clear, structured AI solution plans using Unframe’s platform.
  • Own end-to-end delivery of AI-powered projects alongside engineers and AI specialists.
  • Write detailed product specs and define prompt/context structures that drive solution behavior.
  • Balance speed, scalability, stability, and customer impact when making product decisions.
  • Identify repeatable patterns and collaborate with the Platform team to improve and scale reusable capabilities.
  • Act as the voice of the user throughout the entire product lifecycle.
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