Data Center Capacity Strategy Lead (Equity & Growth)

Meta; San Francisco (CA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking a Data Center Central Planning Manager to lead constraint-aware capacity planning for data centers, translating product growth and AI workloads into actionable roadmaps across power, cooling, space, and network. You will build quantitative models and collaborate with Capacity Engineering, Facilities, Network, and Finance to inform major infrastructure decisions.

The role requires strong modeling, stakeholder influence, and hands-on scripting in Python/SQL to deliver repeatable

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Bachelor’s degree in Engineering, Computer Science, Applied Math, Physics, Operations Research, or equivalent practical experience.
• 8+ years of experience in data center / infrastructure / cloud / hardware environments, with significant work in capacity planning, infrastructure strategy, systems engineering, or large-scale technical planning.
• Demonstrated ability to lead ambiguous, cross-functional problems to decision and execution.
• Ability to create structure and drive progress through partners.
• Strong quantitative background: experience building models, performing scenario and sensitivity analysis, and making recommendations under uncertainty.
• Technical fluency across data center domains to drive trade-offs and identify bottlenecks (power, cooling, facility constraints, network capacity).
• Experience influencing stakeholders and driving alignment across partner organizations without formal authority.
• Hands-on capability with Python and SQL to build reproducible analysis and planning models.
• Ability to define/validate assumptions, create 'single source of truth' datasets/metrics, and productionize analyses through repeatable pipelines.

Responsibilities

• Drive portfolio capacity plans connecting demand signals (product + AI) to supply plans and execution paths across MW delivery, cooling envelope, space readiness, and network capacity.
• Build and maintain quantitative planning models (supply/demand, scenario analysis, sensitivities, bottleneck identification, schedule-risk and uncertainty modeling).
• Translate workload characteristics (GPU/AI clusters, rack power density, resiliency tiers, topology/interconnect needs, placement constraints) into facility and electrical requirements.
• Assess system-level constraints across fleet and pipeline and drive mitigation plans with directly responsible teams.
• Develop decision packages and narratives: synthesize analyses into clear trade-offs and recommendations (cost, schedule, reliability, operability, risk).
• Partner with senior stakeholders by aligning pre-reads and surfacing key risks early, supporting planning forums with technical credibility.
• Drive cross-functional execution: align dependencies, track closure of gaps, manage escalations, support planning governance.

Skills

Quantitative analysis

Cross-functional leadership

Python

SQL

Decision making under uncertainty

Stakeholder influence

Education

Bachelor's degree in Computer Science / Computer Engineering / relevant technical field

Bachelor's degree in Engineering / CS / Applied Math / Physics / OR

Tools

Python

SQL

Job description

Meta is seeking a Data Center Central Planning Manager to lead constraint-aware capacity planning for data centers, translating product growth and AI workloads into actionable roadmaps across power, cooling, space, and network. You will build quantitative models and collaborate with Capacity Engineering, Facilities, Network, and Finance to inform major infrastructure decisions.

The role requires strong modeling, stakeholder influence, and hands-on scripting in Python/SQL to deliver repeatable