MOFE Deployment

The MOFE (Manufactured Owner Furnished Equipment) Integration team within Meta's Data Center Design, Engineering & Construction (DEC) organization is responsible for the technical development, manufacturing readiness, and deployment strategy of offsite manufactured components that power Meta's global data center portfolio. The rapid acceleration of AI demand requires data center capacity at a scale and speed that traditional construction methods cannot deliver.

This team is responsible for transforming the organization — and the broader industry — into an industrialized construction organization, standardizing components into vendor-agnostic SKUs, enabling repeatable deployment across a growing portfolio of sites, and building durable processes that enable contract manufacturing m concept design through construction execution, this team directly influences the full product lifecycle, embedding innovation such as modular infrastructure deployment initiatives and ensuring Meta can build the infrastructure required to support the growing demands of AI infrastructure.

The MOFE Deployment Strategy Lead is focused on the product and manufacturing process from factory floor through site delivery. This role leads production planning, manufacturing coordination, and real-time data transparency across integrator partners, managing the cadence from factory floor to site delivery that keeps the program moving. Bachelor of Science degree in engineering or equivalent practical construction/manufacturing experience 10+ years of experience supporting engineering, manufacturing, and/or construction of data centers or mission-critical infrastructure Proficient in the use of AI systems and tools to improve work efficiency, increase intake and communication of material, and improve/automate processes to increase impact Working level knowledge of electrical and mechanical systems in data center applications Proficient understanding of construction sequencing, manufacturing processes, and critical path schedule development General knowledge of industry standards, building codes, and safety standards including fire protection regulations Experience in managing capital budgets and developing business case/TCO for project approval Demonstrated experience in improving and developing workflow processes to drive efficiency, including automation of repeatable tasks Working level knowledge of conceptual budgeting and cost estimating for large capital projects as well as scheduling tools Demonstrated experience effectively engaging with diverse stakeholders (internal and external) to extract, analyze, and qualify requirements to drive solutions from inception to completion Detail-oriented, experience providing solutions to complex problems, and experience managing project schedules and delivering against defined milestones Leadership experience such as leading large complex projects, leading teams, and coordinating with a diverse range of stakeholders Experience prioritizing competing work streams based on impact, effort, and stakeholder needs

Experience with engineering and construction management applications (e.g., Google Docs, MS Suite, Unifier, ACC/BIM
360, Procore, P6) LEAN Construction knowledge and application of those tools Masters or License in Engineering Discipline (Electrical, Mechanical, Civil, or Construction Management) Experience with modular construction, prefabrication, or DfMA (Design for Manufacture & Assembly) methodologies Additional certification in Project Management, Sustainability, Leadership, Logistics, or Communications Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 15+ years of experience in engineering, manufacturing, and/or construction of data centers or mission-critical infrastructure, including office and field roles Proficient working knowledge of P6 scheduling tool Experience with industrial/manufacturing engineering, supply chain management, or contract manufacturing at scale Demonstrated experience with AI/automation tools for workflow optimization and data-driven decision making Broad range of work experience from Owner, General Contractor, Trade Contractor, Supplier, Vendor, Consultant, or tangential field Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Multi-project experience in large-scale construction…