Program Development Manager, Capacity Planning

Meta Careers; Menlo Park (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Meta is seeking a Staff-level Program Development Manager in Capacity Planning to own frameworks, processes, and tools for planning compute, network, and storage capacity globally. You will drive cross-functional programs, forecast demand, and communicate investment trade-offs to executives, with a focus on AI-enabled optimization.

This role emphasizes governance, scalable planning, and collaboration across engineering and finance to support multi-billion-dollar infrastructure decisions.

Qualifications

• Bachelor's degree or equivalent practical experience in related field.
• 8+ years in capacity/infrastructure planning within large-scale data centers.
• Experience leading cross-functional programs involving engineering and finance.
• Experience translating capacity plans into capex forecasts for executive audiences.
• Ability to design scalable governance models for large organizations.
• Experience leveraging AI tools to optimize workflows and timelines.
• Experience with data center design and construction.
• Familiarity with hyperscale compute, network, and storage planning.

Responsibilities

• Own development of planning frameworks, processes, and tools.
• Lead cross-functional programs spanning infrastructure, engineering, and finance.
• Forecast demand and balance supply across global infrastructure.
• Translate capacity plans into capital expenditure forecasts for executives.

Skills

Capacity planning

Forecasting

Cross-functional leadership

Executive communication

Data pipelines

AI integration

Governance frameworks

Infrastructure planning

Hardware procurement

AI ethics

Education

Bachelor's degree or equivalent practical experience

Tools

Capacity modeling tools

Data analytics platforms

Job description

Meta's Capacity Planning organization is responsible for ensuring that the infrastructure powering billions of users, AI workloads, and next-generation products is available at the right place, at the right time, and at the right scale.

As a Staff-level Program Development Manager within Capacity Planning, you will own the development and evolution of the frameworks, processes, and tools that enable Meta to plan and deliver compute, network, and storage capacity across a global fleet.

This is a high-impact, cross-functional role where your work directly shapes how Meta anticipates demand, resolves supply-demand imbalances, and makes multi-billion-dollar infrastructure investment decisions.

• Bachelor's degree in a directly related field, or equivalent practical experience 8+ years of experience in capacity planning, infrastructure planning, supply chain planning, or a closely related program management discipline within a large-scale technology or data center environment
• Experience developing and operationalizing planning frameworks, forecasting methodologies, or supply-demand balancing processes at a global or multi-region scale
• Experience leading complex, cross-functional programs involving infrastructure, engineering, and finance stakeholders without direct organizational authority
• Experience translating infrastructure capacity plans into capital expenditure forecasts and communicating investment trade-offs to executive audiences
• Experience building or improving planning tools, data pipelines, or analytical systems that support large-scale infrastructure decision-making
• Demonstrated ability to integrate AI tools to optimize/redesign workflows cost and schedules. Drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience in Design and Construction of Data Centers
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated track record of designing and implementing governance structures or operating models that scaled across large, matrixed infrastructure organizations
• Proficiency with capacity modeling tools, scenario planning techniques, or demand forecasting methodologies applied to infrastructure workloads
• Experience with compute, network, or storage capacity planning in a hyperscale cloud or data center environment, including familiarity with hardware procurement lead times and supply chain constraints
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)