Meta is seeking an experienced Critical Operations Manager to lead the engineering and operational teams responsible for the reliability, safety, and performance of our data center critical facility infrastructure. In this role, you will oversee multi-team operations spanning mechanical, electrical, and controls systems that support Meta's global data center portfolio. You will drive strategic initiatives to improve uptime, operational efficiency, and risk management across critical facility environments, partnering closely with construction, capacity planning, and infrastructure engineering organizations to shape the long-term operational posture of Meta's data center fleet.

Responsibilities

Lead and develop multiple teams of critical facility engineers and operations managers responsible for mechanical, electrical, and controls systems across data center sites
• Define and execute the operational strategy for critical facility infrastructure, including power distribution, cooling systems, uninterruptible power supplies, and emergency generation
• Establish and continuously improve preventive and predictive maintenance programs to maximize uptime and reduce risk across the data center portfolio
• Drive incident management and root cause analysis processes for critical facility events, ensuring corrective actions are implemented and systemic risks are mitigated
• Partner with data center construction and commissioning teams to ensure new facilities meet operational readiness standards before transitioning to steady-state operations
• Develop and manage operational budgets, capital expenditure plans, and vendor contracts for critical facility services and equipment
• Define key performance indicators for critical facility operations and hold teams accountable to reliability, safety, and efficiency targets
• Collaborate with capacity planning and infrastructure engineering teams to align facility operational capabilities with compute demand forecasts
• Build organizational capability by recruiting, developing, and retaining critical facility engineering talent across multiple sites and regions
• Represent critical facility operations in cross-functional forums, providing executive-level reporting on operational health, risk posture, and strategic initiatives

Minimum Qualifications
• 10+ years of experience in critical facility engineering or data center operations, including management of mechanical and electrical infrastructure systems
• 6+ years of experience leading and developing engineering or operations teams in a data center or mission-critical facility environment
• Experience managing large-scale critical infrastructure systems including medium-voltage power distribution, chilled water cooling, UPS systems, and emergency diesel generation
• Experience developing and executing operational programs including preventive maintenance, change management, and incident response for critical facility environments
• Experience partnering with construction, commissioning, and capacity planning teams on large-scale data center development or expansion programs

Preferred Qualifications
• Experience managing critical facility operations across a geographically distributed, hyperscale data center portfolio
• Professional certifications in critical facility management such as Certified Data Centre Professional or equivalent industry credentials
• Familiarity with data center infrastructure management platforms, building management systems, and electrical power monitoring systems used in large-scale facility operations
• Experience developing and implementing energy efficiency programs, including power usage effectiveness optimization and cooling system improvements
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• 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)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies