Technical Program Manager, Manufacturing (R4741)

Posted Yesterday
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Dallas, TX, USA
In-Office
120K-180K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Our mission is to protect service members and civilians with intelligent systems.
The Role
Lead end-to-end manufacturing programs from concept to production, coordinating cross-functional teams (engineering, supply chain, quality, facilities) to hit build and ramp milestones. Drive readiness gates, mitigate bottlenecks, manage change impact (ECR/ECO), integrate facilities/equipment, maintain risk registers, and improve program management standards and execution cadence.
Summary Generated by Built In
Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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:
Lead the execution of complex manufacturing programs that bring advanced products from concept to production. In this role, you will drive cross-functional alignment across engineering, supply chain, and operations, ensuring plans, resources, and readiness come together to meet critical milestones. You’ll play a key role in turning strategy into reality—removing obstacles, maintaining momentum, and enabling teams to deliver at scale.

What you'll do:

  • Own manufacturing program outcomes end-to-end. Build and drive the integrated manufacturing program plan (WBS/IMS), manage critical path and cross-functional dependencies, and take full accountability for hitting build and ramp milestones—not just reporting status.
  • Operate as the execution engine across functions. Lead day-to-day coordination across Production, Manufacturing Engineering, MP&L, Supply Chain, Quality, Test, Facilities, Construction, and Engineering aligning priorities, resolving friction, and ensuring no workstream drifts.
  • Move fast to unblock reality. Identify bottlenecks early (design maturity, supplier lead times, tooling delays, facility readiness, material constraints) and aggressively drive mitigation plans to closure. Escalate when necessary but default to solving laterally and decisively.
  • Translate engineering intent into manufacturing action. Turn evolving product development plans and engineering releases into structured readiness gates, executable build plans, and clearly defined entry/exit criteria from prototype through pilot and production ramp.
  • Drive manufacturing readiness with urgency. Ensure tooling, equipment, routings, work instructions, materials, inspection/test capability, facilities, and workforce readiness are aligned ahead of builds closing gaps before they impact the floor.
  • Own change impact management. Coordinate ECR/ECO cut-ins, retrofit strategies, and configuration alignment to protect schedule, build integrity, and production flow.
  • Run a disciplined operating cadence. Lead weekly cross-functional reviews, maintain risk and issue registers, drive action tracking with clear owners and deadlines, and provide crisp executive updates that highlight tradeoffs and required decisions.
  • Integrate facilities and equipment milestones. Embed construction, utilities, equipment installation, and commissioning into the program plan ensuring space and infrastructure readiness never become the critical path surprise.
  • Stay close to the floor. Be present where execution happens rapidly translating real-world constraints into plan updates and actionable cross-functional decisions.
  • Continuously raise the bar. Improve program management standards, tools, readiness frameworks, and execution rhythms to make future manufacturing programs faster, more predictable, and more scalable.

Required qualifications:

  • Bachelor’s degree in mechanical / aerospace Engineering, or related field.
  • Significant experience in aerospace or advanced manufacturing, with 5+ years in program leadership roles.
  • Proven success in facility or production program setup, especially in a startup or high-growth environment.
  • Strong background in program execution and operational planning across engineering and manufacturing domains.

Preferred qualifications:

  • Master’s degree in Engineering, Industrial Systems, or Operations Management.
  • Experience leading cross-functional teams in aerospace or defense industries.
  • Demonstrated ability to deliver production facilities and new program manufacturing readiness on aggressive timelines.
  • Familiarity with new product introduction (NPI) and manufacturing systems planning at scale.
  • Greenfield facility development experience.

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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

Skills Required

  • Bachelor's degree in Mechanical or Aerospace Engineering or related field
  • 5+ years in program leadership roles in aerospace or advanced manufacturing
  • Proven success in facility or production program setup, especially in startup or high-growth environments
  • Strong background in program execution and operational planning across engineering and manufacturing domains
  • Master's degree in Engineering, Industrial Systems, or Operations Management
  • Experience leading cross-functional teams in aerospace or defense industries
  • Demonstrated ability to deliver production facilities and manufacturing readiness on aggressive timelines
  • Familiarity with new product introduction (NPI) and manufacturing systems planning at scale
  • Greenfield facility development experience

What the Team is Saying

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Shield AI Compensation & Benefits Highlights

  • Healthcare Strength Company materials describe excellent medical, dental, and vision coverage alongside a mental‑health EAP. Site perks such as an onsite gym in DC and a gym discount in San Diego support a health‑focused offering.
  • Retirement Support Careers materials highlight a 401(k) with company match as part of the standard package. A Total Rewards overview emphasizes retirement features within a broader, transparent compensation view.
  • Career-Linked Recognition & Rewards Compensation for in‑demand technical and senior go‑to‑market roles is described as competitive, with visible engineering ranges and top‑end packages. This points to meaningful upside tied to role, level, and scarce skills.

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The Company
HQ: Port Melbourne, Victoria
Year Founded: 2015

What We Do

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide.

Why Work With Us

What makes Shield AI special is our people. We unlock the power of autonomy, and in the face of overwhelming odds and challenges, we find ways to win and make a difference for our customers. We bring together software, AI, and aerospace engineering disciplines to deploy the most intelligent aviation capabilities in the world.

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Shield AI Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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Kyiv, UA
Melbourne, AU
Oslo, NO
Prosper, TX
Taipei City, TW
Taipei City, TW
Waltham, MA
Washington, US
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