Jobs · Project Management · California

Technical Program Manager

Catapult Federal Services · Santa Clara, CA · 3 days ago
Project Management$75/hrContract

Duties And Responsibilities

  • Work closely with engineering and product management to deliver and drive strategic roadmap execution.
  • Collaborate on sprint planning, standups, sprint reviews, and retrospectives using Agile methodologies.
  • Use Jira dashboards and bug database queries to generate reporting and maintain comprehensive program updates via Confluence.
  • Partner with engineering to define and improve KPIs that enhance overall execution process and deliverables.
  • Facilitate clear communication channels between all stakeholders and leadership to align project goals and resolve dependencies proactively.
  • Guide engineering teams on best practices for Atlassian suite tools (Jira, Confluence) and agile/scrum implementation.

Required Experience/Skills

  • Bachelor's degree in Electrical Engineering, Computer Science, or equivalent professional experience.
  • 6+ years of end-to-end Program Management experience in a similar or related technical role.
  • Proficiency in Agile project management methodologies and hands-on experience with Atlassian suite (Jira, Confluence).
  • Excellent verbal, written, interpersonal, and presentation skills.
  • Prior proven ability to stay well-organized and detail-oriented in fast-paced, high-uncertainty environments.
  • Strong listening skills, adaptability to rapid breakthroughs, and composure amid technical volatility.
  • Ability to think strategically long-term, build consensus, and prioritize effectively to align stakeholders.

Nice-to-Haves

  • Prior Program Management experience with Vision AI or AI application development (data acquisition, labeling, model training, optimization, edge deployment).
  • Strong understanding of Embedded Systems and familiarity with GPU architectures.
  • Deep understanding of Software Product Life Cycle for production-grade AI applications.
  • Experience managing unique AI program challenges such as model accuracy KPIs and human-in-the-loop validation.
  • AI adoption in Program Management workflows to optimize team velocity.

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