Technical Program Manager, Mission Autonomy

Overview In this role you will drive the scoping and delivery of initiatives within Anduril’s Mission Autonomy line. You’ll collaborate with software, systems, and engineering teams to align roadmap work with strategic bets and customer needs. You’ll lead early-phase programs won through capture and manage external relationships to ensure successful outcomes. This position offers exposure to IRAD and customer-facing work at a cutting-edge defense tech company, with a focus on autonomy, AI, and sensor fusion. You will play a pivotal part in shaping how automated mission-critical systems are developed and deployed. Compensation / Benefitssalary range $129,000—$171,000 USDequity grantscomprehensive benefits packagecompetitive total compensationfull-time roleopportunity to work on defense technology projects ResponsibilitiesDrive scoping and execution of Mission Autonomy initiativesCollaborate with cross-functional teams (software, program management, chief engineers, test & evaluation, operations, finance) to meet objectivesSupport execution of functional engineering roadmaps aligned with long-term strategyLead early-phase programs won through capture, including external customer liaison Key requirementsBachelor's degree in Robotics, Computer Science, Computer Engineering or a related technical fieldTechnical career backgroundWillingness to travel up to 70%Deep familiarity with subsystems and robotics systems you have worked onAbility to assess technical tradeoffs and reduce risk through development effortsExceptional organizational and analytical skillsProven experience collaborating with multi-disciplinary teams and influencing engineering leadershipOutstanding communication abilities with stakeholders at all levelsEligible to obtain and maintain a U.S. TS clearancestrong communication skillsability to influence and lead across teamsadaptability and agility in changing environmentsrobotics systems and subsystemsautonomous robotics principleshardware+software development practices for autonomous systems