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Product Manager - Digital Proving Grounds

Remote / Online - Candidates ideally in
Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Applied Intuition
Full Time, Remote/Work from Home position
Listed on 2026-10-30
Job specializations:
  • Business
    AI Business & Operations
  • IT/Tech
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 170000 - 250000 USD Yearly USD 170000.00 250000.00 YEAR
Job Description & How to Apply Below

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy.

Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;
San Diego;
Ft. Walton Beach, Florida;
Ann Arbor, Michigan;
London;
Stuttgart;
Munich;
Stockholm;
Bangalore;
Seoul; and Tokyo. Learn more at

We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

This in-office expectation does not apply to contractor positions

About the role

Applied Intuition's Digital Proving Grounds (DPGs) give the Department of War a vendor-neutral place to test autonomous systems from many companies together, against a real mission, before they reach the field. A DPG covers the full path from software-in-the-loop (SIL) simulation to hardware-in-the-loop (HIL), live-virtual-constructive (LVC), and live exercises. Teams find integration problems in simulation, where fixes take hours, instead of at a live event, where they take weeks.

DPGs run on Axion, Applied's defense toolchain, with Axion Sim at the core. Applied ran VREX for the Office of the Under Secretary of War for Research and Engineering, a DPG that put air, surface, and undersea vehicles from different vendors on one mission. CDAO then selected Applied to build the platform for Autonomy Factory, which brings this approach to programs across the Department of War on autonomy.mil.

The technology works in programs. The next step is a product that program offices, test organizations, and mission engineers choose, adopt, and come back to, without Applied engineers supporting events. As the Product Manager for Digital Proving Grounds, you will own the product strategy, roadmap, and requirements for DPGs and Axion Sim. This is an individual-contributor role. You will work as the product peer to the engineering lead for Axion Sim and drive outcomes through influence across engineering, design, business development, and delivery.

At

Applied Intuition, you will
  • Own the product vision, strategy, and roadmap for DPGs and Axion Sim. Decide what becomes repeatable product and what stays program-specific work.

  • Find product-market fit. Run discovery with program offices, test and evaluation organizations, mission engineers, and autonomy vendors. Learn who buys, what they need to prove, and what brings them back for the next event. Work with business development and capture to turn what you learn into offers that win programs.

  • Define the sim-to-live workflow. Shape how a team goes from a mission and its concept of operations to test scenarios, then to SIL at scale, HIL rig checkout, LVC, and live events, with results that carry across each stage.

  • Set the simulation roadmap with engineering. Make the calls on fidelity versus speed, sensor and communications modeling, scale to hundreds or thousands of agents, co-simulation with government tools, and a self-serve…

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