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Shield AI

Builds autonomous aircraft for defense

Director, Operations Analysis

Data & AnalyticsUpdated on Nov 11
Full-timeWashington, DC, USAIn-person

About the Job

Requirements

  • A bachelor's degree in engineering, operations research, applied mathematics, computer science, physics, aerospace, systems engineering, data science, or a related technical field is required.
  • At least 10 years of relevant experience in operations analysis, mission analysis, modeling and simulation, systems analysis, military analysis, campaign analysis, or related technical domains is required.
  • At least 5 years of experience leading teams, projects, or technical analysis efforts is required.
  • Experience using modeling and simulation to inform real product, system, program, or operational decisions is required.
  • A strong understanding of military operations, mission planning, force employment, kill chains, sensing, communications, autonomy, aircraft systems, weapons systems, or related defense concepts is required.
  • The candidate must be able to translate ambiguous operational questions into structured analysis plans, quantitative methods, and decision-quality outputs.
  • Experience working with engineering, product, business development, strategy, or customer-facing teams is required.
  • Strong technical communication skills are required, including the ability to brief senior leaders and customers with clarity, confidence, and analytical discipline.
  • The candidate must be able to work in a fast-paced environment where priorities evolve quickly and analysis must support real business and technical decisions.
  • U.S. citizenship and eligibility to obtain and maintain a U.S. security clearance are required.

Responsibilities

  • Lead and manage the Hivemind Solutions Operations Analysis team, including hiring, mentoring, prioritization, performance management, and technical direction.
  • Build an operations analysis capability that informs Hivemind product strategy, autonomy roadmap decisions, customer pursuits, and program execution.
  • Define and execute mission analysis, campaign analysis, force-on-force studies, CONOPS evaluations, and operational trade studies across multiple Hivemind product domains.
  • Partner with Product, Architecture, Systems Engineering, Business Development, Strategy, and Program teams to translate operational problems into analytical studies and actionable product recommendations.
  • Develop analysis plans connecting mission objectives, operational assumptions, threat environments, system performance, autonomy behaviors, and measurable mission outcomes.
  • Guide use of AFSIM, NGTS, STK, MATLAB, Python, custom simulations, and other modeling environments to evaluate mission effectiveness and operational value.
  • Establish standards for analytical rigor, model credibility, assumption tracking, sensitivity analysis, uncertainty characterization, and communication of results.
  • Create executive-ready briefings explaining what was analyzed, assumptions made, results, and recommended decisions.
  • Support customer engagements by developing technically grounded analysis demonstrating the operational value of Hivemind-enabled systems.
  • Work with engineering teams to identify autonomy behaviors, system capabilities, interfaces, performance parameters, and test data needed to improve model fidelity.
  • Help shape product requirements by connecting operational outcomes to measurable system and autonomy performance needs.
  • Build reusable analysis frameworks, scenarios, vignettes, and metrics that can scale across programs and domains.
  • Represent the Operations Analysis function in internal technical reviews, roadmap discussions, capture strategy sessions, and customer-facing meetings.

Desired Qualifications

  • A master's degree or PhD in operations research, engineering, applied mathematics, data science, aerospace, systems engineering, or a related technical field is preferred.
  • Experience with AFSIM, NGTS, STK, MATLAB, Python, Cameo, custom simulation environments, or other mission and campaign analysis tools is preferred.
  • Experience analyzing autonomous systems, collaborative autonomy, uncrewed aircraft, crewed-uncrewed teaming, electronic warfare, space systems, missile systems, maritime systems, or air combat operations is preferred.
  • Experience supporting defense product development, advanced concepts, government capture efforts, experimentation, test planning, or mission engineering is preferred.
  • Familiarity with model validation, verification, credibility assessment, sensitivity analysis, design of experiments, and uncertainty quantification is preferred.
  • Experience building analysis teams, establishing technical standards, and scaling analytical capabilities across multiple stakeholders or product lines is preferred.
  • Prior military, government laboratory, FFRDC/UARC, defense contractor, or aerospace experience is preferred.
  • An active U.S. security clearance is preferred.

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
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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