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Shield AI

Technical Program Manager - Finance Technology (R6186)

San Diego, California, United States

Location
San Diego, California, United States
Work
On-site
Employment
Full-time
Level
Not stated
Function
Finance
Pay
$120K – $190K a year
Posted
3 weeks ago

About the role

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, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. 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

Shield AI is seeking a Technical Program Manager to run a highly organized, effective Finance Technology delivery function. As Scrum Master and owner of the team's Jira operating rhythm, you will turn priorities into achievable commitments and make capacity, dependencies, and decisions visible. You will use delivery insights to help leadership identify hotspots, anticipate burnout risk, and deploy the team's resources for maximum impact.

What you'll do

  • Own Jira management and maintain a clear, trusted view of priorities, ownership, progress, and dependencies.
  • Serve as Scrum Master, facilitating planning, delivery reviews, retrospectives, and impediment removal.
  • Establish disciplined intake, prioritization, and capacity planning across projects and operational work.
  • Coordinate cross-functional programs spanning planning, data products, and Finance applications.
  • Translate delivery trends and team feedback into recommendations on resource allocation, sequencing, and sustainable workload.
  • Surface risks and tradeoffs early, presenting leadership with actionable options.
  • Improve delivery practices, release readiness, and handoffs without unnecessary bureaucracy.

Required qualifications

  • Bachelor’s degree in Engineering, Computer Science, or a related field, and a minimum of 5 years of related experience.
  • Experience leading cross-functional technical programs involving data, enterprise systems, or business applications.
  • Hands-on Jira management and experience serving as a Scrum Master.
  • Exceptional organization and attention to detail, with clear executive and team communication.
  • Ability to manage dependencies and influence decisions across teams without direct authority.
  • Experience using operational insights to improve capacity planning, delivery effectiveness, and team health.

Preferred qualifications

  • Experience with Finance technology, planning platforms, or data engineering teams.
  • Experience coordinating implementation partners and shared enterprise dependencies.
  • Experience building scalable operating practices in a lean, high-growth organization.

#LI-TF1

#LC

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.

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.

Source

Posted by Shield AI on their own hiring page, jobs.lever.co. OptiTalent shows it as published, read 07 Nov 2026 01:40 UTC; the original is the reference.

View the original ad ↗

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