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Applied IntuitionApplied IntuitionSunnyvale, CA

Product Manager

Product Manager owning a platform for agentic tooling that powers Physical AI across verticals. Requires 2+ years PM experience at top tech or high-growth startup, strong technical background, and domain knowledge in autonomy, robotics, simulation, CV, or ML.

140k – 180k/yr
On-site2+ YOEProduct Management

About the role

Responsibilities

  • 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).
  • Decide which platform capabilities should be vertical-specific versus vertical-agnostic, and drive that prioritization with engineering.
  • Partner closely with product, engineering, and design to shape the product vision, work through tradeoffs, and prioritize what gets built.
  • Partner actively with TPMs and eng managers to own the complete product lifecycle, from launch through ongoing releases for your specific areas.
  • Present product capabilities to customers regularly, gather feedback, spot areas for growth, and help scale the tools org.
  • Sharpen product positioning and create marketing briefs, blog posts, and other content that helps tell Applied's story.
  • Work with sales and customer leads to shape go-to-market strategy, pricing, and customer engagement.

Requirements

  • 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.
  • Prior experience in Physical AI — autonomy, robotics, simulation, computer vision, or ML — is a strong differentiator.
  • 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-Haves

  • Prior experience in agentic AI — assistants, agents, eval frameworks, model training and evaluation.
  • MBA from a top program.
  • A sharp instinct for recognizing product-market fit.
  • Exposure to hypergrowth at a startup from Series A to IPO.

Skills

Product ManagementPhysical AiAutonomyRoboticsSimulationComputer VisionMachine LearningAgentic AISoftware Development
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