Technical Program Manager, Capacity Planning and Delivery

Meta

$160K — $190K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years in technical program management or infrastructure engineering
  • 8+ years specifically in Technical Program Management
  • Proven leadership of large-scale cross-functional programs
  • Expertise in strategic technical initiatives and roadmap influencing
  • Strong executive-level communication and presentation skills
  • Mentorship experience for technical program managers
  • Ability to navigate ambiguity and define structure in complex programs

Responsibilities

  • Lead technical program management for capacity planning and delivery across infrastructure
  • Own end-to-end capacity planning cycles from demand forecasting to delivery
  • Develop and manage capacity programs with clear scope and timelines
  • Drive capacity forecasting, collaborating with data science and engineering teams
  • Provide hands-on program management during all capacity planning phases
  • Perform risk assessment and manage changes in capacity programs
  • Coordinate cross-functional capacity reviews and communicate status to leadership

Benefits

  • Cross-functional collaboration with engineers and data scientists
  • Opportunity to drive strategic initiatives with significant organizational impact
  • Exposure to cutting-edge AI technologies and infrastructure
  • Mentorship opportunities for professional development
  • Fast-paced environment with a focus on continuous process improvement
Full Job Description
Meta is seeking a Technical Program Manager (TPM) with capacity planning and delivery experience at scale. This position will work with cross-functional teams to drive the planning, allocation, and delivery of compute, storage, and network capacity across Meta's global infrastructure. This role requires engagement with internal engineering teams, data scientists, and stakeholders to ensure capacity meets the demands of Meta's products and services. Meta's Infrastructure Engineering organization is responsible for the growth, management, and 24x7 upkeep of all Meta's products and services.

Responsibilities

Lead technical program management of capacity planning and delivery for Meta Infrastructure in a matrix organization covering compute, storage, GPU, and network capacity
• Own overall program success spanning end-to-end capacity planning cycles, from demand forecasting through allocation and delivery to production workloads at scale
• Develop and manage capacity programs including defining scope, requirements, delivery milestones, schedules, and deliverables with engineering teams, partners, and stakeholders
• Drive capacity forecasting and modeling efforts, collaborating with data science and engineering teams to anticipate infrastructure needs
• Provide hands-on program management during capacity planning, allocation, deployment, and optimization phases
• Perform risk assessment, risk mitigation, and change management on capacity programs
• Drive process improvements across capacity planning, supply chain, and delivery workflows
• Coordinate cross-functional capacity reviews and communicate status, risks, and tradeoffs to leadership

Minimum Qualifications
• 12+ years of experience in technical program management, infrastructure engineering, or a related technical discipline
• 8+ years of experience in Technical Program Management
• Experience leading large-scale, cross-functional programs with significant organizational impact
• Experience driving strategic technical initiatives and influencing roadmaps across multiple teams
• Experience with executive-level communication, including presenting to senior leadership
• Experience mentoring and developing other technical program managers
• Experience navigating ambiguity and defining structure for complex, multi-year programs
• Experience with capacity planning, infrastructure systems, or related domains

Preferred Qualifications
• Experience with data center architecture and deployment
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience supporting AI/ML infrastructure capacity needs
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience with capacity modeling, demand forecasting, or resource optimization
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience with supply chain planning and vendor coordination

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