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Shield AI

Staff Technical Program Manager, Air Vehicle Systems (R6044)

Seattle, Washington

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hirly's read of this role

Role family
Operations
Seniority
Lead / management
Stated salary
$191,238 – $286,992 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube .

Job Description:

We are seeking an experienced Air Vehicle Systems Technical Program Manager to help drive execution across the air vehicle systems design team. This role lives within the engineering organization and partners closely with Responsible Engineers (REs) and technical leads across aircraft subsystems such as flight controls, avionics, electrical power, thermal and fluid systems, mechanical systems, structures, landing gear, and vehicle integration.

You will work alongside the air vehicle systems design team, manufacturing and test teams, and applicable suppliers to ensure technical work progresses in alignment with vehicle-level milestones, schedules, and program objectives. This role requires enough aircraft-systems depth to understand the underlying technical solutions, identify cross-system dependencies, and help teams make sound execution decisions, while also bringing the coordination, accountability, and follow-through needed to move the program forward.

The ideal candidate has an engineering background and thrives in a hands-on, hardware-centric development environment. They are comfortable working with technical detail, asking the right questions, removing obstacles, and translating complex system work into measurable progress toward aircraft integration and flight readiness.

Original posting on Shield AI's site ↗

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