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Shield AI

Builds autonomous aircraft for defense

Assistant Product Owner - CCA Mission Autonomy, Platform Integration

Technical Product ManagementUpdated on Nov 14
Full-time

About the Job

Requirements

  • A bachelor's degree in engineering, computer science, aerospace engineering, cognitive systems engineering, human factors, or a related technical field is required, or equivalent military or operational experience.
  • At least 3 years of experience in product ownership or a related field, such as customer experience, human factors, cognitive systems engineering, human-machine teaming, systems engineering, or technical program management for complex software or aerospace systems.
  • Hands-on proficiency with Jira and Confluence as systems of record, including demonstrated experience authoring and managing epics, user stories, and acceptance criteria in an agile environment.
  • Ability to maintain an integrated view of a complex product across distributed documentation and multiple engineering disciplines.
  • Willingness to become a hands-on user of the operator interface, independently installing, configuring, and running mission scenarios.
  • Working technical fluency in mission autonomy, autonomous systems, flight software, ground control systems or human-machine interfaces, or avionics interfaces.
  • Ability to communicate in writing and orally and translate information across technical audiences without diluting technical accuracy.
  • Problem-solving ability, including sound decision-making and judgment under ambiguity with minimal supervision.
  • Ability to work effectively independently and as part of a team.
  • Must be a U.S. person as defined under ITAR.
  • An active U.S. Department of Defense Secret security clearance is required at hire, and the candidate must be eligible and capable of obtaining and maintaining Top Secret, Sensitive Compartmented Information, and/or Special Access Program clearance or access.
  • Ability to travel domestically approximately 15–25%.

Responsibilities

  • Work with the Product Owner and Chief Engineer to understand customer product needs across the CCA program office, platform providers, and operational end users, determine priorities, and separate must-have capability from deferrable scope.
  • Elicit and validate customer needs and priorities from official guidance and scoping documents, and from operational subject matter experts or surrogate end users when available.
  • Translate customer intent and needs into user stories and epic descriptions, including value proposition, success criteria, acceptance criteria, expected effort and timeline, dependencies, risks, and preconditions for success, for feature crews to execute in their sprints.
  • Own day-to-day management of the Shoal 1 epic backlog across feature crews, maintain traceability with customer requirements, refine the backlog, and monitor updates so changes in priority or scope and their rationale are surfaced and documented.
  • Provide a product perspective to Shoal 1-specific feature crew sprint planning and review ceremonies by maintaining an informal integrated product map of epics, interfaces, dependencies, and program milestones.
  • Collaborate with the Shoal Lead to manage dependencies across shoals and communicate integration decisions and their implementation implications to relevant shoal or feature crew leads or collaboration partners.
  • Collaborate with the Shoal Lead to support development and integration of the operator interface through the backlog; the HMI feature crew delivers it, the Shoal Lead owns requirements and acceptance, and the APO owns epic description, communication, and prioritization.
  • Keep protected weekly hands-on time using the operator interface so HMI-specific epics and instructions can be written from first-hand use.
  • Support the platform integration crew in its interactions with vendors.
  • Translate across disciplines by normalizing preferred terminology and making specialist discussions accessible to the broader team, while ensuring general consistency.
  • Support other shoals, such as Systems Engineering and T&E, by observing operator-in-the-loop activity and providing feedback in review sessions.

Desired Qualifications

  • Experience supporting a U.S. Air Force, Navy, or joint aviation program of record involving uncrewed or autonomous collaborative platforms.
  • Familiarity with A-GRA, A-GRI, UCI messaging, or other modular open systems architectures.
  • Experience with airworthiness, functional safety, or assurance-driven software processes and certification artifacts.
  • Exposure to flight autonomy, vehicle management systems, or aircraft-level integration and flight test campaigns.
  • Experience with command-and-control or human-machine interface products for uncrewed systems, such as STANAG 4586, MAVLink, CoT, or TAK.
  • Formal grounding in product, human factors, or cognitive systems engineering methods.
  • Experience supporting operator-in-the-loop evaluations, test and evaluation campaigns, or functional check flight activity as a product or human factors representative.
  • Proficiency with systems and process modeling tools such as Cameo, and experience reading interface control documents.
  • Experience establishing decision logs, change control, or product governance in a program that previously lacked them.
  • Experience coordinating directly with platform manufacturers, prime contractors, or government program offices.
  • Military aviation, flight test, or uncrewed aircraft systems operational experience.
  • An advanced degree in engineering, business (such as an MBA), or a related field such as computer science, aerospace, cognitive systems engineering, or human factors.
  • Current or prior Special Access Program or Sensitive Compartmented Information access.

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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