Deployed Operations Fleet Manager (R5174)
Shield AI · On-site
MeritLog read this listing from Shield AI's Lever job board and last checked it on September 9, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- $98,000 - $140,000
- Location
- Dallas, Texas
Hiring context
How this role compares at Shield AI
Shield AI has 455 live roles in MeritLog’s catalog across 12 job families, and 16 of them are in operations. 357 of those listings publish a pay range, a disclosure rate of 78%.
This role's posted range of $98,000 - $140,000 sits above 9% of the 336 other Shield AI roles quoted over the same currency and period.
Shield AI concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
Job description
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: The V-BAT Deployed Operations Fleet Manager is responsible for maximizing the Fully Mission Capable (FMC) status of Shield AI’s deployable V-BAT fleet. This role serves as the central authority for internal fleet health, utilization, and documentation, ensuring aircraft and equipment are maintained, properly configured, and consistently available to support global operations. The Fleet Manager acts as the primary resource for deployed teams on all aircraft and equipment-related matters, providing oversight, guidance, and coordination to ensure operational readiness. This role requires strong technical acumen, attention to detail, and the ability to operate across multiple teams in a dynamic, high-tempo environment.