Technical Program Manager

About the role

Applied Intuition is building Dana, the agentic platform for Physical AI, bringing the power of agents on top of a decade of tooling, infra and data expertise to accelerate the development of autonomy across every domain.

Applied Intuition is looking for a Technical Program Manager passionate about building the agentic tooling platform that powers Physical AI. Our TPMs own roadmap execution through sharp cross-functional planning, clarity, and proactive risk management, acting with thoughtful urgency to drive decisions and outcomes. We partner with every function to deliver real-world deployments across domains (Cars, Trucks, Mining, and more), levels of autonomy (L2++ to L4), and geographies. This position will work cross-functionally with our Engineering, Design, Customer & Product teams.

At Applied Intuition, you will:

• Partner with Simulation teams to define and shape the long-term vision and strategy for Applied's Autonomy Tooling platforms

• Drive the execution of programs that integrate simulation deeply into the ML development loop, establishing a seamless, reliable path for model training, offline evaluation, and validation

• Lead complex, cross-functional programs to platformatize and scale critical simulation workflows for both internal and external customers, accelerating developer velocity

• Own programs spanning multiple organizations, tracking progress and ensuring successful delivery of milestones, metrics, and final deliverables

• Continuously engage customers to surface pain points, translate their workflows into product gaps, and inform future engagements

• Navigate ambiguity and manage critical upstream/downstream dependencies across organizational boundaries, serving as a trusted technical partner to Engineering and Product

We're looking for someone who has:

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent hands-on experience

• 3+ years steering technical programs within a software engineering or large-scale infrastructure environment

• Background leading projects that touch autonomous system development, simulation techniques and data pipelines

• A history of taking complex technical programs from start to finish, keeping timelines, risks, and dependencies aligned across many stakeholders

• Sharp communication and interpersonal instincts, able to translate complex technical ideas for both research and infrastructure audiences

Nice to have:

• A solid technical foundation, ideally with hands-on software development under your belt

• Prior work in Physical AI:

  • Simulation: Exposure to autonomous system simulation, log playback infrastructure, or closed-loop model validation

  • Data Management: Familiarity with large-scale dataset management, data validation frameworks, or unified data solutions

  • Developer Platforms: A background building or running developer tools and platforms that tame complex workflows

  • AV Domain Knowledge: Time spent in the autonomous vehicle or robotics space, with a feel for onboard/offboard dependencies

• A front-row seat to startup hyper-growth, from Series A through IPO

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.