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Responsibilities
- Build and lead a geographically dispersed, high-performing data center operations team, developing both the technical capabilities and leadership qualities of engineers
- Establish and manage a Data Center Operations Team accountable for the maintenance and operation of server hardware and supporting infrastructure at scale
- Become a technical expert in Meta's infrastructure, including platforms, tools, systems, architecture, workflows, and performance
- Provide strategic direction, guidance, and support for site and fleet-level operations
- Analyze and drive continuous improvement in the engineering and operational performance of our data centers
- Employ data analytics to identify inefficiencies, opportunities, exceptions, and correlations in a complex, highly interconnected, technical environment. Enable rapid and effective problem solving, along with proactive identification and mitigation of risks and issues
- Collaborate with cross-functional partner teams to ensure fleet health and maintain targeted capacity levels, resulting in optimized operations, minimized downtime, and seamless scalability
- Evolve and optimize processes in a globally consistent way to allow Meta to scale and grow effectively
- Support and mentor engineers in their day-to-day work, as well as in finding opportunities to develop and grow based on their areas of strength and interest
- Create and drive a culture of ownership, innovation, collaboration, accountability, continuous improvement, and safety
- Conduct performance management for a technical engineering team, providing clear expectations and goals
- Assume the role of incident manager during large-scale, site-wide, and region-wide production-impacting events, as the primary point of contact for your site. This requires working cross-functionally to scope problems, mitigate risks, affect fixes, and communicate the nature, status, and resolution plan for incidents
- Support and contribute thought leadership to the development and implementation of business practices, processes and automated tooling
- Develop deep knowledge and ownership of a hyper-scale computing fleet through the use of data analysis to identify trends and systemic issues and opportunities; reporting out globally and sharing with peers as appropriate
Minimum Qualifications
- BS, BA, or BEng in a technical field or commensurate experience
- Ability to travel up to 30% is required
- Experience participating in or leading technical projects related to areas such as process improvement, technology, and/or automation, including bringing in additional expertise as needed
- 5+ years of experience managing teams of technical resources, including people and performance management responsibilities
- Understanding of data center infrastructure and/or operations, including power, cooling, and/or network systems; structured cabling; and management of projects, incidents, and vendors
- Experience using data and metrics to drive decision-making
- Ability to influence effectively, working on cross-functional teams to advance the needs of the company and adapting teams to meet these needs
- 10+ years of engineering or operations experience, preferably in a mature engineering or operations environment, working with cross-functional teams
- Ability to communicate effectively, in a clear and concise manner, appropriately tailoring messages to the audience
Preferred Qualifications
- 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)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Six Sigma knowledge/certification
- Experience leading technical resources using Linux or an equivalent OS to support hardware systems in a complex IT environment
- Experience with large-scale AI implementations and the use of AI to drive automation
- Experience in large-scale data center hardware deployments and building scalable infrastructure
- Knowledge of the interdependencies of data center functions and technologies, including electrical, cooling, structured cabling, security, and network
$163,000/year to $238,000/year + bonus + equity + benefits
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