As Meta’s datacenter infrastructure grows rapidly in scope and scale the increased technical complexity and velocity of new product introductions requires organization and integration of activities across numerous internal and external teams and manufacturing sites. Meta’s Infrastructure organization is seeking an experienced New Product Introduction Program Manager to act as the single threaded program owner across the Supply Chain organization to navigate an ambiguous development environment, bring clarity and alignment, identify critical path and blockers and manage risks to drive successful on-time and on-quality NPI delivery of Meta’s highest-priority AI, compute, storage & network hardware across our global data center footprint. This position will work closely with external manufacturing partners and Meta internal stakeholders including AI & Hardware Engineering, Technical Program Management, Manufacturing Operations, and all Supply Chain functions
Responsibilities
As single-threaded owner for Meta’s Supply Chain organization, apply hands-on program management skills and techniques to drive overall schedule, build & test readiness, factory readiness, material readiness, and risk management, internal and external escalations and program communications to achieve on-time and on-quality execution of NPI builds for AI compute, storage and network hardware programs Act as primary liaison between Meta’s Supply Chain organization and all internal and external partners for covered programs Drive build readiness including all Supply Chain deliverables and daily build issue debug cadence across Meta’s Supply Chain and internal and external engineering and manufacturing partners Drive manufacturing, test and material readiness, infrastructure Own program risk identification, mitigation, management and communication across Meta’s Supply Chain organization Own overall program communication strategy and execution across Meta’s supply chain organization and internal and external partners Drive factory ramp readiness with internal and external engineering and manufacturing partners Own and drive program escalations across Meta internal and external teams and partners Identify operational pain points and improvement opportunities across internal and external processes and workflows and drive improvements across multiple teams and functions
Qualifications
Knowledge of PLM concepts including BOMs, ECO / MCO, deviations, part substitutions, effectivity date management, quality management systems 8+ years of relevant work experience with in computer hardware and/or networking manufacturing, shop floor control, supply chain execution, manufacturing testing and product lifecycle management tools and processes Knowledge of supply chain-specific roles & responsibilities throughout NPI phases including procurement, planning, product lifecycle management, materials management, demand and supply planning, and logistics Effective demonstrated skill to adapt, take initiative and thrive in ambiguity Knowledge of manufacturing test processes & systems, including quality inspections, automated server, storage and integrated rack testing Proven communication and presentation skills Experience in NPI product life-cycle, program management including program kickoff, stakeholder influence & strategy, workstream prioritization, driving cross-functional execution and establishing working relationships across multi-disciplinary teams Technical background in engineering or manufacturing in AI, compute, or networking space Knowledge of manufacturing-specific roles & responsibilities throughout NPI phases including HW, SW, manufacturing, product, process, test & quality engineering, reliability, and quality assurance Bachelor's degree in a directly related field, or equivalent practical experience Experience completing Total Cost of Ownership (TCO) analysis and ensuring project costs meet or better budget objectives Experience executing commercial sourcing agreements Experience with data center hardware architecture and deployment Experience with activities around RFQ package creation, source selection, specification creation, cost analysis, and price negotiation with appropriate team members M.S. in hardware engineering, manufacturing engineering or a related technical discipline, or equivalent experience Experience sourcing and managing global (Asia, EU, LATAM) suppliers and manufacturing partners Experience with risk management and disaster & recovery best practices related to hardware manufacturing facilities, processes and goals 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