NPI Program Manager

Meta; Menlo Park (CA); Vor Ort; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

Meta seeks an experienced New Product Introduction (NPI) Program Manager to drive end-to-end execution for infrastructure hardware from concept to mass production. You will partner with hardware engineering, supply chain, contract manufacturers, and data center operations to ensure programs meet schedule, budget, and quality standards for Meta's global infrastructure.

The role requires 6+ years in hardware program management, experience across EVT/DVT/PVT phases, and demonstrated ability to

Qualifikationen

• 6+ years in hardware program management with ownership of NPI programs for network/AI/compute/storage hardware
• Experience leading cross-functional hardware development from prototype to mass production (EVT/DVT/PVT)
• Ability to identify, track, and mitigate risks across design, supply chain, and manufacturing
• Strong communication of status, risks, and tradeoffs to engineering and operations
• Experience using PM tools to manage schedules, dependencies, and deliverables
• Familiarity with hardware design/qualification (ASIC bring-up, PCB design reviews, network testing)
• Experience managing NPI for hyperscale infrastructure hardware
• Proven AI skill development and staying current with AI technologies
• Experience implementing responsible AI practices (risk assessment, bias mitigation, quality checks)
• Background in data analysis to drive schedule/resource tradeoffs
• Ability to integrate AI tools to optimize workflows and drive measurable impact
• Experience working with contract manufacturers/original design manufacturers on hardware build planning

Aufgaben

• Own end-to-end NPI program execution from concept through mass production
• Partner with hardware engineering, supply chain, CM/ODM, and data center ops to ensure on-time, within-budget delivery
• Develop integrated schedules, manage dependencies, and track deliverables across hardware programs
• Drive risk identification, mitigation, and tradeoff decisions across multiple workstreams
• Support hardware qualification processes, including ASIC bring-up and system-level testing

Kenntnisse

Hardware program mgmt

Cross-functional collaboration

Risk management

Program status reporting

Scheduling & dependencies

Data analysis

AI tooling integration

Ethical AI practices

Jobbeschreibung

Meta is seeking an experienced New Product Introduction (NPI) Program Manager to drive the development and delivery of infrastructure hardware that powers Meta's global infrastructure. In this role, you will own end-to-end NPI program execution for hardware — from early-stage concept through mass production. You will partner closely with hardware engineering, supply chain, contract manufacturers, and data center operations teams to ensure that hardware programs are delivered on schedule, within budget, and at the quality standards required to support Meta's infrastructure scale.

• 6+ years of experience in hardware program management, with direct ownership of NPI programs for network, AI, compute, or storage hardware products
• Experience managing cross-functional hardware development programs from prototype through mass production, including EVT, DVT, and PVT build phases
• Experience identifying, tracking, and mitigating program risks across hardware design, supply chain, and contract manufacturing workstreams
• Experience communicating program status, risks, and tradeoffs to engineering and operations stakeholders through structured written and verbal updates
• Experience using program management tools and methods to build integrated schedules, manage dependencies, and track deliverables across hardware development programs
• Familiarity with hardware design and qualification processes, including ASIC bring-up, PCB design review cycles, and network system-level testing
• Experience managing NPI programs specifically for hardware in a hyperscale data center or infrastructure context
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Background in data analysis and use of program metrics to drive schedule and resource tradeoff decisions across concurrent hardware programs
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience working directly with contract manufacturers and original design manufacturers on hardware build planning, yield management, and production ramp