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Technical Program Manager - Defense

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Hybrid (Washington, DC)$140k - $185kfull-timePosted 10mo ago

About the role

Technical Program Manager role in the Washington, DC area focusing on architecting and managing complex defense-related projects, coordinating with internal SMEs and defense customers to implement solutions and drive technical proposals.

Responsibilities

  • Execute projects as the single point of contact, track progress, and ensure successful completion of all milestones, metrics, and final deliverables
  • Continuously engage customers to understand further pain points and areas for more project engagements
  • Provide regular touch points with internal teams to update on customer use cases and workflows not yet addressed by current software
  • Evaluate project timings with customers and adjust resource needs for customer pursuits based on requirements and feedback
  • Lead pursuits from customer RFQ release and create a detailed technical proposal by engaging all SMEs within Applied Intuition

Qualifications

  • US citizenship, able to obtain a security clearance
  • 3+ years of industry experience leveraging data and technical knowledge to support software programs
  • Bachelor’s degree in Mechanical, Electronics, Data engineering, Computer Science or related fields
  • Familiarity with the DOD autonomy ecosystem
  • Hands-on experience managing complex projects
  • Ability to travel to customer site (25%)

Skills

Required:Program managementStakeholder engagementTechnical proposal development

Benefits

  • Base salary, equity, and benefits including comprehensive health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, and paid time off (subject to jurisdiction)
Last updated May 26, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development

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