Meta
MOFE Manufacturing Readiness
$199K–$272K
Menlo Park, CA · Full-time · Posted Oct 23, 2026
- Experience
- 10+ years supporting engineering, manufacturing, and/or construction of data centers or mission-critical infrastructure.
- Education
- Bachelor of Science degree in engineering or relevant field, or equivalent practical construction/manufacturing experience.
About the job
Leads manufacturing readiness and supply-chain strategy for offsite-manufactured data center components, including capacity planning, partner performance, commissioning standards, and manufacturing innovation.
What you'll do
- Develop manufacturing-first strategies, secure supplier capacity, and coordinate cross-functional readiness, production schedules, and risk mitigation.
- Lead manufacturing partner assessments and business reviews; establish commissioning, quality, onboarding, installation, and logistics processes.
- Track manufacturing KPIs and improve efficiency, cost, throughput, and quality through automation, robotics, and AI.
What they ask for
- Bachelor of Science degree in engineering or relevant field, or equivalent practical construction/manufacturing experience.
- 10+ years of experience supporting engineering, manufacturing, and/or construction of data centers or mission-critical infrastructure.
- Knowledge of data center electrical and mechanical systems, construction sequencing, manufacturing processes, and critical-path scheduling.
- Experience improving or developing workflows and automation; engaging stakeholders; and leading complex projects.
Nice to have
- Experience with modular construction, prefabrication, or DfMA; SCADA/controls systems (Ignition preferred); industrial/manufacturing engineering, supply chain, or contract manufacturing at scale.
- Master’s degree or engineering license; P6 proficiency; demonstrated AI skill development and responsible AI implementation.
Pay
$199,000/year to $272,000/year (base salary)
Tools
SCADA, Ignition Edge, Google Docs, MS Suite, Unifier, ACC/BIM360, Procore, P6
AI focus
Drive robotics, AI, and automation initiatives to improve manufacturing efficiency, throughput, quality, and cost, and generate predictive production-risk insights; the posting also asks for AI/automation workflow optimization and responsible AI practices.
Model-written summary · the original posting is authoritative