Technical Program Manager - Mining
Applied IntuitionSunnyvale, California, United States$115k – $170kPosted 26 March 2026
Tech Stack
Job Description
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 are looking for a Technical Program Manager to help strategize and manage complex autonomous mining engineering projects, identify gaps, and implement best practices for our customers. This position will involve intense collaboration with engineers within Applied Intuition and at the customer, in order to implement solutions towards our customers’ autonomy deployment goals.
At Applied Intuition, you will:
Manage hardware and software stack deployment and autonomy system commissioning activities across customer mining and construction sites globally
Own and manage multiple concurrent mining autonomy customer engagements, ensuring all workstreams are progressing toward contractual obligations and delivery milestones
Define and scope bi-weekly sprint goals across customer projects, maintaining rigorous documentation of deliverables and task traceability in tools like Jira and Confluence
Serve as the operational backbone for customer engagements — keeping the right people in the right meetings, maintaining workstream hygiene, and ensuring nothing falls through the cracks
Collaborate closely with software engineers, workstream leads, customer engineering teams, and business development to drive progress on mining autonomy deployments
Collaborate with customers to integrate and deliver mining autonomy solutions, coordinating across hardware and software teams to hit aggressive timelines
Identify and implement AI-driven improvements to sprint workflows, reducing manual overhead and increasing team velocity
We’re looking for someone who has:
3–5 years of experience in technical program management, engineering, or a related field; candidates with a software engineering background transitioning into TPM are welcome
Demonstrated ability to manage multiple complex customer projects simultaneously without losing attention to detail
Experience with program management tools and methodologies (e.g., Jira, Confluence, Google Drive, sprint planning)
Enough technical fluency to follow engineering discussions, parse software scoping tasks, and contribute meaningfully to sprint planning — coding experience is not required
Strong organizational skills and a high bar for documentation hygiene across all customer deliverables
A positive, adaptable attitude with the ability to context-switch quickly across customers and workstreams
Nice to have:
Experience in mining, construction, or other heavy industry environments
Familiarity with autonomous systems or robotics programs
Comfort using AI tools (e.g., Cursor, Claude) to automate or streamline workflows
Compensation at Applied Intuition for eligible roles includes base salary, eq ... (truncated, view full listing at source)
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