Project Manager, Systems Engineer, Cybersecurity

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About Overland AI

Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field‑test forward ethos, to deliver combined capabilities for unit commanders. Our Over Drive autonomy stack enables ground vehicles to navigate and operate off‑road in any terrain without GPS or direct operator control.

Our intuitive Over Watch C2 interface provides commanders with precise coordination capabilities essential for mission success.

Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight‑figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations.

Role Summary

Overland AI is hiring a Project Manager to drive engineering execution and technical follow‑through within the Systems, Safety, and Test (SST) organization. This role is responsible for keeping engineering efforts moving. You will run technical working sessions and integration meetings, capture decisions, track action items, and ensure cross‑team technical work progresses to completion. When details risk slipping or coordination breaks down, you step in to restore clarity and momentum — enabling senior engineers and systems leaders to stay focused on solving complex technical problems.

Working alongside software, hardware, production, safety, and test teams, you coordinate day‑to‑day handoffs and execution across disciplines. Embedded within systems and test, you operate close to the technical work, unblocking issues, maintaining alignment, and ensuring commitments are translated into outcomes. Your work will closely support Program Managers & Leadership by providing clear, timely engineering execution updates that support broader planning and delivery, while your focus remains on strengthening the internal engineering engine.

As Overland AI scales, this role plays a critical part in sustaining execution discipline across increasingly complex systems.

Key Responsibilities Own Engineering Execution & Follow‑Through

• Run engineering working sessions, integration syncs, and release readiness meetings.
• Capture decisions, risks, and action items; drive follow‑up until closure.
• Maintain clarity on owners, timelines, and next steps across concurrent efforts.

Coordinate Cross‑Team Technical Work

• Coordinate day‑to‑day execution across software, hardware, production, safety, and test teams.
• Manage handoffs between teams as work moves from design to implementation, test, and release.
• Ensure cross‑team dependencies are understood, tracked, and addressed.

Support Integration, Bugs, and Releases

• Support bug triage, issue tracking, and release coordination in partnership with engineering leads.
• Track progress toward engineering milestones and release goals.
• Surface execution risks, resource constraints, and integration gaps early.

Track Engineering Resources & Constraints

• Maintain visibility into engineering workload, test capacity, and key resource bottlenecks.
• Help engineering leads and systems leadership make informed trade‑offs when priorities conflict.
• Coordinate adjustments to plans based on available resources and execution realities.

Manage Execution Risk

• Identify execution, integration, and schedule risks within engineering work.
• Track mitigation actions and ensure they are addressed.
• Escalate risks when commitments or assumptions are no longer valid.

Documentation & Engineering Reporting

• Maintain clear records of decisions, action items, and execution status.
• Produce concise engineering execution updates to support Systems Engineering leadership and Program Management.
• Ensure engineering outputs are documented and traceable across discussions and time.

Strengthen Engineering Processes

• Identify breakdowns in…