Global Supply Chain Operations Manager

Meta is seeking a Global Supply Chain Operations Manager to drive end-to-end supply chain execution for hardware programs supporting Meta's portfolio of consumer devices, data center infrastructure, and emerging technologies including virtual reality, augmented reality, and wearable platforms. In this role, you will lead cross-functional efforts to manage supplier ecosystems, ensure component supply continuity, and align sourcing strategies with product development and manufacturing timelines across complex, high-volume global programs.

Responsibilities

Define and execute commodity strategies for technically complex components including custom silicon, electromechanical assemblies, optical modules, display systems, and structural hardware used across Meta's hardware product lines
Lead supplier engagement activities including demand versus supply assessments, manufacturing capability audits, capacity planning, and risk evaluations across global supply chains
Partner with hardware engineering, new product introduction, and manufacturing operations teams to influence component architecture decisions and design-for-manufacturability trade-offs during early product development stages
Establish supplier performance management frameworks including scorecards, structured business reviews, and corrective action plans tied to quality, delivery, cost, and responsiveness metrics
Identify and mitigate supply chain risks arising from geopolitical factors, single-source dependencies, commodity market volatility, and supplier financial instability
Drive multi-source supply strategies and qualification of alternate suppliers to improve supply chain resilience across critical component categories
Collaborate with demand planning, logistics, and operations teams to align supplier capacity commitments and lead time targets with product ramp schedules and volume forecasts
Develop and communicate commodity roadmaps and supply chain strategies to cross-functional partners and organizational leadership, influencing sourcing decisions at scale
Support new product introduction programs by managing supplier ramp readiness, coordinating first article inspections, and tracking production validation milestones
Leverage data analytics and supply chain platforms to monitor spend, track supplier performance trends, and surface actionable insights for continuous improvement

Qualifications

6+ years of experience in technical sourcing, commodity management, or supply chain operations within the hardware manufacturing industry
Experience leading end-to-end supply chain execution for technically complex components, including supplier selection, negotiation, qualification, and lifecycle management
Experience conducting manufacturing capability assessments, process audits, and supplier risk evaluations for high-volume production programs
Experience collaborating cross-functionally with hardware engineering, quality engineering, new product introduction, and finance teams to align sourcing decisions with product and business requirements
Experience developing and presenting commodity strategies, supply risk analyses, and supplier performance reports to cross-functional stakeholders Familiarity with responsible sourcing standards or supplier sustainability assessment frameworks applicable to global hardware supply chains
Experience managing supply chains for consumer electronics or wearable hardware products, including components such as optical systems, display modules, or custom silicon
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ability to integrate AI tools to optimize supply chain workflows and drive measurable impact such as efficiency gains, lead time reduction, or risk identification improvements
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience using enterprise procurement or supply chain platforms to manage supplier data, contract workflows, and commodity spend analytics
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)