Staff Field Solutions Engineer (R5524)

Job details

Work model

On-site

Salary

$180,000 - $270,000

Location

San Mateo, California; San Diego, California

Hiring context

How this role compares at Shield AI

Shield AI has 472 live roles in MeritLog’s catalog across 12 job families, and 375 of them are in engineering. 369 of those listings publish a pay range, a disclosure rate of 78%.

This role's posted range of $180,000 - $270,000 sits above 67% of the 349 other Shield AI roles quoted over the same currency and period.

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: Shield AI is hiring a Hivemind Field Solutions Engineerto support technical sales, customer engagements, demonstrations, and capture activities for Hivemind across the Americas region. This role will serve as a customer-facing technical expert for Hivemind, helping translate customer mission needs into credible, technically feasible solutions. The FSE will partner closely with Business Development, Product, Engineering, Customer Engagement, and Program teams to support demos, technical interchange meetings, RFIs, RFPs, white papers, and customer-specific solution development. This position requires a strong technical foundation in autonomy, mission software, simulation, and AI-enabled systems. The ideal candidate will bring direct experience with Department of War simulation environments, live-virtual-constructive training and test ecosystems, synthetic environments, image-generation systems, and/or synthetic data workflows. This person should be comfortable explaining complex technical systems to customers, shaping demos around mission objectives, and feeding customer insights back into product and engineering teams. The Field Solutions Engineering team acts as a BD force multiplier, bridging Shield AI’s technical roadmap to customer needs and ensuring customer-facing solutions are accurate, feasible, and mission-relevant. This role will be based in either San Diego or San Francisco, CA.

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