About the role
About Applied Intuition 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 applied.co . We are an in-office company, and our expectation is that 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.
About
the role We're looking for a Senior Technical Program Manager to own performance and release for the autonomy stack that runs across our L2+ passenger vehicle, L4 truck, and mining vehicle programs. You'll sit at the center of the stack's engineering leadership, turning system health into release decisions, and coordinating those releases across every downstream team building on top of it. At Applied Intuition, you will: Performance measurement : Define and own how we measure and forecast the stack's reliability, so leadership knows not just where we stand today but where we're headed. Release ownership : Drive the stack's release cycle end to end - coordinate how the Core team ship to multiple vertical projects, and manage expectations with downstream teams. Prioritization : Identify the key projects to improve the driving performance with engineering leads, and unblock the execution Reporting : Build the reporting that gives engineering and customer-facing teams a clear, shared view of performance and release status. We're looking for someone who has: Background in autonomy, robotics, or ML 3+ years of experience in technical program management, engineering, or a related field The ability to context switch effectively across multiple projects Willing to operate without a fixed lane - making the product call one day, running the analysis or building the dashboard the next