Director of Technical Program Management, AI Infrastructure

Meta

Menlo Park (CA)

On-site

USD 245,000 - 309,000

Full time

13 days ago
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Job summary

Meta in Menlo Park is seeking a Director of Technical Program Management for Meta Business AI to lead a small, senior TPM team and own the most complex programs end-to-end. This hands-on, player-coach role sets the technical and execution bar for AI infrastructure, capacity, and product performance while coordinating with Engineering, Data Science, and Product leadership.

The ideal candidate has 15+ years in TPM/software/systems with leadership experience, strong cross-functional collaboration,

Qualifications

  • 15+ years in technical program management, software engineering, or systems engineering with progression to leadership
  • Experience leading organizations of TPMs or engineers across multiple large programs
  • Experience driving execution strategy across multiple engineering groups at scale
  • Proven ability to shape organizational strategy and cross-functional alignment

Responsibilities

  • Directly lead, mentor, and grow a small, senior TPM team
  • Own the highest-leverage, most complex programs end-to-end
  • Define and lead the technical execution strategy for AI infrastructure and capacity
  • Build decision-making frameworks for performance, cost, and capacity tradeoffs
  • Partner with Engineering and Product leadership to align roadmaps and priorities
  • Keep leadership informed with milestones, risks, and escalations
  • Work across organizations to align plans and deliver broad solutions
  • Own people management, hiring, coaching, and culture in a small, high-leverage team

Skills

Leadership
Cross-functional collaboration
Strategic planning
Communication
Mentoring
Executive stakeholder management

Job description

Meta in Menlo Park is seeking a Director of Technical Program Management for Meta Business AI to lead a small, senior TPM team and own the most complex programs end-to-end. This hands-on, player-coach role sets the technical and execution bar for AI infrastructure, capacity, and product performance while coordinating with Engineering, Data Science, and Product leadership.

The ideal candidate has 15+ years in TPM/software/systems with leadership experience, strong cross-functional collaboration,

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