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
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Job Description:
Shield AI is seeking a Manager, Autonomy Applications Engineering to lead a team of Forward Deployed Engineers supporting customer deployment, adoption, and operational success with the Hivemind SDK. This is a highly technical, customer-facing leadership role focused on enabling the team to deliver excellent on-site customer support, deployment execution, and success in real-world environments. The manager will own team performance, customer outcomes, and the flow of actionable field feedback back into the company.
In this role, you will manage, coach, and develop Forward Deployed Engineers who work directly with customer operators, engineers, and technical stakeholders to support onboarding, deployment, troubleshooting, and sustained use of Hivemind. You will help the team navigate complex technical environments, translate mission and program goals into concrete technical milestones, and drive progress during active engagements. You will also partner closely with internal engineering, product, Applications Engineering, and program teams to improve customer readiness, product usability, deployment playbooks, and long-term customer success.
This role includes up to 30% travel, including frequent customer site visits and oversight of active customer engagements.
What you'll do:
Lead, manage, mentor, and develop a team of Forward Deployed Engineers responsible for customer deployments and technical customer success
Own team planning, prioritization, staffing, and execution for on-site and virtual customer engagements
Provide technical leadership for customer onboarding, deployment, adoption, and operational success with the Hivemind SDK
Serve as an escalation point and trusted technical leader for customers using Hivemind in real-world environments
Translate customer goals, mission needs, and program objectives into clear technical milestones, execution plans, and team priorities
Drive accountability across the team for achieving intended customer outcomes during active engagements
Guide the team through debugging and resolution of complex software and integration issues
Partner with customer teams and internal stakeholders to remove blockers, improve time-to-value, and sustain adoption
Build mechanisms to collect, synthesize, and communicate recurring customer pain points, product gaps, and field insights to internal teams
Represent the voice of the customer in internal planning and prioritization discussions
Collaborate with product and engineering teams to improve product quality, usability, deployment readiness, and repeatable field execution
You should apply if:
You enjoy leading technical teams while staying close to customers and field execution
You are energized by coaching engineers through dynamic on-site challenges in real operational contexts
You can translate ambiguous customer needs into structured technical plans, team priorities, and measurable outcomes
You are comfortable making decisions, removing blockers, and helping a team drive progress under pressure
You have strong engineering fundamentals and can build credibility quickly with technical stakeholders, customers, and direct reports
You enjoy working across engineering, product, and customer teams to improve both product outcomes and customer success
You are passionate about or have great interest in autonomy, robotics, aerospace, defense technology, or deploying advanced software in the field
Required qualifications:
Bachelor's degree in Engineering, Computer Science, or a related technical field
8+ years of relevant technical experience in software engineering, deployment engineering, solutions engineering, applications engineering, or forward deployed engineering
2+ years of people management or formal technical leadership experience for engineers
Experience in a customer-facing technical leadership role such as forward deployed engineering, solutions engineering, applications engineering, or customer engineering
Strong technical background in software engineering, including the ability to review and debug complex systems and guide technical tradeoffs
Strong proficiency with modern C++ and experience with Python in a professional setting
Excellent communication, presentation, interpersonal, coaching, and people leadership skills
Strong problem-solving and analytical skills, with sound judgment under pressure
Ability to operate with a high degree of autonomy and accountability in ambiguous environments while leading a team through ambiguity
Ability to travel up to 30%
Preferred qualifications:
3+ years of experience working in a startup environment
Experience managing or leading teams in the defense, robotics, aerospace, or autonomous systems industry
Experience building or scaling a forward deployed engineering, solutions engineering, applications engineering, or customer engineering function
Experience gathering field feedback, influencing product direction based on customer needs, and establishing repeatable customer success playbooks
Why join Shield AI:
Help build the defining defence technology company of this century.
Work at the forefront of AI, autonomy, and next-generation defence systems.
Operate in a highly entrepreneurial and mission-driven environment.
Make a direct impact on international growth and strategic defence partnerships.
Collaborate with exceptional teams solving some of the world’s most complex operational challenges.
