Lead, Autonomous Aircraft Programs

Shield

Washington (District of Columbia)

On-site

USD 180,000 - 270,000

Full time

2 days ago
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Benefits offered by this job

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Benefits
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Job summary

Shield AI is seeking an exceptional Technical Program Manager to guide next-generation autonomous aircraft concepts and tradespace analysis. You will set objectives from customer cases, develop cost-performance metrics, and plan schedules and budgets to deliver strategic products to customers.

The role requires ownership of execution, stakeholder alignment, and strong communication to ensure on-time delivery of products in a defense-sensitive context.

Qualifications

  • Bachelor's or Master's degree in Engineering, Computer Science, or related field.
  • 10+ years of experience in technical program management or managing studies or projects.
  • Active Secret clearance and eligibility for Top Secret and SCI.
  • Experience leading cross-functional teams and translating technical needs into product narratives.
  • Strong written and verbal communication skills.

Responsibilities

  • Guide and manage autonomous aircraft conceptual design and tradespace analysis.
  • Set objectives based on customer use cases and develop metrics for cost vs. performance.
  • Plan and manage schedules and costs, delivering strategic products to customers.
  • Own execution of the effort, align stakeholders, and ensure on-time delivery.

Skills

Cross-functional leadership
Communication skills
Analytical thinking
Problem-solving
Self-starter
Synthesizing viewpoints

Education

Engineering/CS degree

Job description

Shield AI is seeking an exceptional Technical Program Manager to guide next-generation autonomous aircraft concepts and tradespace analysis. You will set objectives from customer cases, develop cost-performance metrics, and plan schedules and budgets to deliver strategic products to customers.

The role requires ownership of execution, stakeholder alignment, and strong communication to ensure on-time delivery of products in a defense-sensitive context.

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