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Shield AI

Builds autonomous aircraft for defense

Manager – Autonomy Applications Engineering

Engineering LeadershipUpdated on Nov 14
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • 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 travel up to 30%.

Responsibilities

  • 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.

Desired Qualifications

  • 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.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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