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Meta is seeking a forward-thinking, experienced individual to join the Data Center Fleet Operations team. The Fleet Operations Manager is accountable for managing and leading a geographically dispersed team, delivering SLA/KPI's related to production server hardware, resolution of systemic technical issues, and repairs throughout the assigned geographic region of data centers. We are looking for someone who can prioritize competing work based on impact, deadlines, and stakeholder needs in a 24/7 data center operations environment. The ideal candidate is an IT professional with strong leadership skills and experience in Server Hardware, Project Management, Quality Management, Data Analytics, Networks, OS repair, Linux and Automation, ideally in a datacenter environment. Experience managing servers in a large-scale distributed environment is important for success in this role

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 Experience leading technical resources using Linux or an equivalent OS to support hardware systems in a complex IT environment Experience in large-scale data center hardware deployments and building scalable infrastructure Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Knowledge of the interdependencies of data center functions and technologies, including electrical, cooling, structured cabling, security, and network Six Sigma knowledge/certification Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with large-scale AI implementations and the use of AI to drive automation Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies