Senior Software Product Manager, Strategic DefenseNew$220K

The Strategic Defense team at Anduril is at the forefront of incubating and maturing AI-native offerings for the integrated air and missile defense domain. We're the architects of mission autonomy and resilient mesh architectures, delivering scalable software solutions that meet…

What you'll do

• Own the product roadmap for key autonomy capabilities with attention to both: backend services and interfaces supporting UI-based oversight, explainability, and control. You will translate high-level strategic objectives and urgent warfighter needs into detailed, actionable product roadmaps and specifications.

• Define autonomy behavior and the human-machine interfaces for it: decision authority, operator overrides, engagement constraints, and the safety and controls guardrails that govern automated decision-making.

• Support software execution for this capability in conjunction with: engineering: sequence workstreams, surface and resolve cross-team dependencies and blockers, track delivery against plan, and hold engineering, test, and program stakeholders accountable to schedule.

• Proactively communicate roadmaps, execution status, and goals to stakeholders: and manage expectations of delivery. Escalate large trade offs and necessary decision points as needed.

• Operate as the owner of the autonomy capability area. Work with business: development, proposal, marketing, and compliance leads to communicate product capabilities externally. Participate in large-scale customer exercises and demonstrations.

• Work hands-on to deliver new capabilities across the lifecycle of the: product, from initial release and onboarding, through day-to-day improvements. Validate and experiment along the way, acting as the voice of the user throughout.

What they're looking for

• Active U.S. Secret security clearance
• Hands-on experience shipping autonomous systems, robotics,: guidance/navigation/control, or mission autonomy software
• Familiarity with mathematical optimization problems (e.g. assignment,: resource allocation, scheduling, trajectory optimization) and the tradeoffs between optimality, runtime, and operator trust
• Experience with AI safety, assurance, or verification and validation for: learning-enabled or automated decision-making systems
• Background in operations research, optimization, or applied mathematics through experience or education
• Defense, national security, or aerospace domain familiarity through experience or education
• Experience working in a developer focused product team (for example, in cloud: services, SDK development, or internal platform infrastructure)
• Experience supporting test design and execution for technically complex, combined hardware/software systems