Product Manager

Applied Intuition Applied Intuition · Robotics · Sunnyvale, CA · Autonomy Tools

Product Manager for a Physical AI tooling platform, focusing on capabilities shared across multiple verticals and deep execution in specific verticals. The role involves defining product vision, prioritizing development with engineering, managing the product lifecycle, gathering customer feedback, and shaping go-to-market strategy.

What you'd actually do

  1. Develop a clear point of view on what to build, grounded in the market, customer use cases, pain points, and business goals — both at the platform level and within your specific vertical(s).
  2. Decide which platform capabilities should be vertical-specific versus vertical-agnostic, and drive that prioritization with engineering.
  3. Partner closely with product, engineering, and design to shape the product vision, work through tradeoffs, and prioritize what gets built.
  4. Partner actively with TPMs and eng managers to own the complete product lifecycle, from launch through ongoing releases for your specific areas.
  5. Present product capabilities to customers regularly, gather feedback, spot areas for growth, and help scale the tools org.

Skills

Required

  • 2+ years of Product Management experience at a top tech company or high-growth startup
  • Ability to build trust and relationships across a large engineering org, and quickly get up to speed on complex, multi-dimensional topics
  • Insatiable curiosity about what's next, paired with an ambitious drive to execute and win
  • Strong technical background, with real understanding and / or hands-on experience in software development.
  • MS/BS in Computer Science, Electrical Engineering, or equivalent experience
  • Proven ability to manage all aspects of a product throughout its lifecycle
  • Excellent written and verbal communication skills

Nice to have

  • Prior experience in agentic AI — assistants, agents, eval frameworks, model training and evaluation would be a great differentiator
  • MBA from a top program, for a well-rounded view of product and business development
  • A sharp instinct for recognizing product-market fit
  • Exposure to hypergrowth at a startup from Series A to IPO

What the JD emphasized

  • Physical AI
  • agentic AI
  • model training and evaluation

Other signals

  • Physical AI
  • tooling platform
  • autonomy
  • robotics
  • simulation
  • computer vision
  • ML
  • agentic AI
  • model training and evaluation