Product Manager - Unmanned Vehicle Autonomy

Product Manager - Small Unmanned Vehicle Autonomy

Washington, District of Columbia, United States

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition s solutions to deliver vehicle intelligence.

Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at

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.

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Note:

For Epi Sci job openings, fully remote work will be considered by exception.)

Epi Sci, an Applied Intuition company, develops next-generation, tactical autonomy solutions for national security problems. Epi Sci s autonomy software is technology agnostic, operationally informed, tactically relevant, and has piloted swarms of uncrewed aerial systems and tactical fighter aircraft. Additional applications include crewed-uncrewed teaming for air dominance, cognitive sensors, and networks for advanced communications systems, as well as battle management command and control for informed decision-making.

Epi Sci delivers unmatched speed, cost-efficiency, and scalability as the preferred partner for defense agencies and industry teams seeking mission-critical autonomy solutions.

As a Product Manager at Epi Sci (an Applied Intuition Company), you will own a key part of our product portfolio tailored to the defense autonomy industry. This includes shaping the autonomy and infrastructure for small unmanned systems across multiple domains (e.g. aerospace, maritime). You will thoughtfully balance and prioritize the requirements of users—including internal autonomy teams—and drive new adoption by communicating the value of your products.

Working with multi-disciplinary engineering teams, you will deliver clear, practical solutions with speed.

• Synthesize the experiences of your users, understand what drives them, and outline a roadmap to make your product continuously more valuable to our customers
• Drive the pace of product development and uphold high standards for quality
• Represent the product externally – with customers and at industry events
• Develop thought leadership on your product s potential and communicate it effectively internally and externally while coordinating with business development, marketing, and growth teams
• Coordinate the resources of the entire company, from engineering leads to senior leadership, to ensure your product is winning for the customer
• Build a deep understanding of the autonomy industry and propose where Applied Intuition Defense should invest to meet long-term demand

• BS degree in Computer Science, Engineering, or an equivalent degree
• Experience with PX4, Ardu Pilot, MAVLink, or related software for unmanned vehicles
• 7+ years of experience working in the tech industry, with significant experience in defense
• Eligibility to obtain and hold an active U.S. DoD Security Clearance
• Overseen a product from development to deployment
• Solid technical background in modern software development and infrastructure
• A bias towards action and winning business outcomes
• Excels at written and verbal communication
• A willingness to be on the front lines with customers (10-25% travel time)

• Advanced degree in Computer Science…