MOFE Deployment

Meta; Salt Lake City (UT); On-site; USD 150,000 - 209,000; Full time

Job summary

Meta’s MOFE Deployment Strategy Lead within the Data Center Design, Engineering & Construction organization drives production planning, manufacturing coordination, and real-time data transparency across integrator partners from factory floor to site delivery.

The role focuses on coordinating with Tier 3 integrators, GCs, and Meta sites to ensure on-time delivery, quality, and responsive risk mitigation for MOFE components across multiple data center sites.

Qualifications

• 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 and processes.
• Working level knowledge of electrical and mechanical systems in data center applications.
• Proficient understanding of construction sequencing, manufacturing processes, and critical path schedule development.
• Knowledge of industry standards, building codes, and safety standards.
• Experience in managing capital budgets and developing business cases for project approval.
• Demonstrated ability to engage with diverse stakeholders to drive solutions.

Responsibilities

• Serve as the primary point of contact for Tier 3 Integrators and coordinate support from Meta.
• Facilitate collaboration among Integrator, GC, Meta site, and quality teams to ensure delivery.
• Ensure MOFE component continuity across partners and manage design changes.
• Lead MOFE production planning and execution from order to delivery.
• Synchronize integrator production with site readiness and deployment timelines.
• Develop and manage integrator scope, handover protocols, and site cadences.
• Create comprehensive logistics plans for on-time, safe delivery and installation.
• Review and manage change orders and RFIs to meet scope and budget.
• Coordinate submittals and procurement workflows with vendors and OEMs.
• Support pre-construction with schedules, staffing plans, and logistics inputs.
• Establish KPIs for off-site manufacturing and on-site installation; drive transparency.
• Leverage AI and automation to improve deployment coordination and risk identification.
• Capture lessons learned to inform future development and performance metrics.

Skills

AI systems and tools

Electrical and mechanical knowledge

Leadership and cross-functional work

Data center knowledge

Project coordination

Education

Bachelor of Science in engineering

Job description

Summary:

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 at scale. From 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.

Required Skills:

MOFE Deployment Responsibilities:

1. Serve as the primary point of contact for Tier 3 Integrators, ensuring their success by proactively coordinating all necessary support from Meta — including ensuring access to all MOFE component design packages and modular deployment program related documents, collaborating with sourcing Organization (the sourcing organization) to guarantee on-time delivery of integrated OFE, and partnering with Pre-Construction to ensure prompt contract execution and fund release




2. Facilitate effective collaboration among the Integrator, GC, Meta site and Quality team, EoR, Owner Furnished Equipment (OFE) suppliers, and third-party quality inspectors to ensure timely and complete delivery of all site components




3. Ensure MOFE component continuity across integrator and manufacturing partners — maintaining alignment on specifications, production status, and delivery commitments throughout the component lifecycle while managing the implementation of all inflight design changes to the integrator




4. Lead MOFE production planning and execution — including manufacturing facility throughput coordination, production scheduling, OFE gear receipt and storage approach, build to inventory strategy, First Article Production (FAP) and Off-site Commissioning and real-time management of the manufacturing process from order through delivery




5. Synchronize integrator production schedules with business PR objectives, site readiness, and on-site deployment timelines




6. Develop and manage the GC Integrator scope delineation matrix, handover protocols, and site-level coordination cadences




7. Partner with the Integrator to develop comprehensive logistics plans that guarantee on-time safe component delivery, seamless on-site installation and commissioning, and proactive risk mitigation in response to supply and demand fluctuations




8. Review, evaluate, and manage change orders submitted by integrators, ensuring compliance with project scope, budget, and objectives




9. Manage submittal and RFI workflows across Meta, integrators, GCs, and OFE suppliers — ensuring integrator and vendor submissions and RFIs are reviewed, EoR comments provided on time, dispositioned, and tracked against component specifications and site requirements




10. Negotiate and process external partner contracts and purchase orders as needed to support Tier 3 Integrator manufactured component development




11. Coordinate DDKO (Design Development Kick-Off) process — including documentation packages, review timelines and scope delineation, and ensure stakeholder alignment




12. Identify deployment risks, probability, and mitigations for new data center product designs




13. Develop risk mitigation strategies for new data center product execution through pre-planning, innovative thinking, and partnership with internal and external stakeholders




14. Coordinate Required On Job (ROJ) dates and production-date changes across site teams, Sourcing, integrators, and OEMs




15. Establish processes and data standards, including OFE allocation, PO management, component part number tracking, and vendor commit date workflows with procurement data synchronization




16. Support escalations both from site CM teams and OFE issues from manufacturing to OEM providers in partnership with internal supply chain and equipment teams — driving rapid resolution of supply disruptions and component deficiencies




17. Support the Pre-Construction team by providing project execution plan, manufacturing schedule, on-site installation plans, staffing requirements, and logistics inputs to optimize project execution and site readiness




18. Responsible for establishing KPIs and data transparency for off-site manufacturing and on-site modular component installation and commissioning — with key performance indicators including on-time delivery (OTD), component manufacturing quality, and manufacturing data transparency




19. Leverage AI and automation tools to improve deployment coordination, reduce manual tracking, and drive predictive risk identification




20. Capture lessons learned and provide feedback to inform future technical development revisions, component solutions to support manufacturing, and performance metrics to support integrator business reviews




21. Build integrator and new-entrant capability -- educate partners on program standards, takt time execution, and proven means/methods, and drive cross-integrator knowledge transfer (embedment) so the program scales on repeatable capability rather than institutional knowledge




22. Manage manufacturing and deployment risks in partnership with the integrator — identifying, quantifying, and driving mitigation of risks to on-time, quality delivery, and escalating material risks to program and executive leadership to enable timely decisions




23. Participate in Integrated Product Teams (IPTs) to support component and manufacturing process issue resolution across engineering, quality, sourcing, and site execution stakeholders




24. Strengthen collaboration with internal cross-functional partners




25. promote continuous improvement, partnership, and teamwork




26. Actively participate in feedback processes, including giving and receiving constructive feedback across teams and levels




27. Lead Business Review sessions to reset expectations and ensure alignment between Meta business needs and Integrator performance




28. Travel as required up to 40%

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor of Science degree in engineering or equivalent practical construction/manufacturing experience




2. 10+ years of experience supporting engineering, manufacturing, and/or construction of data centers or mission‑critical infrastructure




3. 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




4. Working level knowledge of electrical and mechanical systems in data center applications




5. Proficient understanding of construction sequencing, manufacturing processes, and critical path schedule development




6. General knowledge of industry standards, building codes, and safety standards including fire protection regulations




7. Experience in managing capital budgets and developing business case/TCO for project approval




8. Demonstrated experience in improving and developing workflow processes to drive efficiency, including automation of repeatable tasks




9. Working level knowledge of conceptual budgeting and cost estimating for large capital projects as well as scheduling tools




10. Demonstrated experience effectively engaging with diverse stakeholders (internal and external) to extract, analyze, and qualify requirements to drive solutions from inception to completion




11. Detail‑oriented, experience providing solutions to complex problems, and experience managing project schedules and delivering against defined milestones




12. Leadership experience such as leading large complex projects, leading teams, and coordinating with a diverse range of stakeholders




13. Experience prioritizing competing workstreams based on impact, effort, and stakeholder needs




14. Experience with engineering and construction management applications (e.g., Google Docs, MS Suite, Unifier, ACC/BIM360, Procore, P6)

Preferred Qualifications:

Preferred Qualifications:

1. LEAN Construction knowledge and application of those tools




2. Experience with modular construction, prefabrication, or DfMA (Design for Manufacture & Assembly) methodologies




3. Additional certification in Project Management, Sustainability, Leadership, Logistics, or Communications




4. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)




5. 15+ years of experience in engineering, manufacturing, and/or construction of data centers or mission‑critical infrastructure, including office and field roles




6. Proficient working knowledge of P6 scheduling tool




7. Demonstrated experience with AI/automation tools for workflow optimization and data‑driven decision making




8. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies




9. Multi‑project experience in large‑scale construction management, mission critical or infrastructure preferred




10. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)




11. Experience with SCADA/controls systems (Ignition platform preferred)

Public Compensation:

$150,000/year to $209,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].