Supply Chain Lead, Large Clusters
Meta
Apply to this job US on site Until 8/22/2026 5+ years exp First posted May 27, 2026 Last posted May 27, 2026
Job description
Infrastructure Supply Chain and Engineering (ISCE) ensures Meta’s infrastructure capacity needs are met and delivered by Meta’s global supply chain.
This includes enabling on-time and sufficient delivery of data center equipment (ex. power, cooling, cabling), network hardware (ex. switches), and compute and storage (ex. racks) across Meta’s global infrastructure fleet. With the continued importance of AI-enabling infrastructure, there is a corresponding shift in Meta’s supply chain strategy; rather than delivering racks or other hardware in isolation, it is now imperative to deliver clusters as a coordinated infrastructure product.
Responsibilities
- Leverage technical understanding of interdependencies across - network, DC and server - hardware supply chain & deployments to drive a converged capacity-delivery outcome for Meta’s AI large clusters
- Serve as consolidated voice and source-of-truth to customer organizations and internal leadership on large cluster, supply chain status
- Develop and implement mid- to long-term cluster delivery strategy for Meta and Meta’s supply chain partners. This includes (a) cross-team product coordination, (b) cluster optionality and contingency plans, (c) cluster delivery staging and logistics and (d) cluster demand feasibility models
- Identify, flag, and coordinate the response to major technical, material, financial, and information risks impeding cluster delivery
- Partner with the planning team on finalizing demand and running supply scenarios. Partner with the sourcing team on commercial readiness of suppliers, and the NPI team on new hardware introduction. Lastly, partner with the manufacturing & delivery teams, and manage launch, manufacturing and deployment of hardware for large clusters
- Engage as needed with supplier’s material, production, and technical teams to track, consolidate, and de-risk major challenges across large cluster delivery
- Develop and maintain critical-path simulations, engineering economic estimates, and contingency plans in order to ensure cluster product delivery, on-time, and within acceptable budgetary guidelines
- Maintain current knowledge of the technology and industry trends for large clusters. Work cross functionally to define future technology directions with outsourced manufacturing suppliers
Minimum Qualifications
- Blend of technical and operational experience to understand the relationship between technical roadmap, demand/supply, manufacturing and negotiations
- 5+ years of supply chain centric technical experience in hyperscale data centers, semiconductor industry, automation/robotics and/or associated industries
- BS in Engineering, Suppl Chain or related technical field or equivalent combination of education
- Knowledge of technology roadmaps and launch & scale of hardware systems
- Proven experience moving from strategy to execution and delivering results
- Interpersonal and communication skills with experience influencing, negotiating, building consensus and making strategic decisions
- Proven experience interfacing with and establishing relationships with leadership at suppliers or customers
Preferred Qualifications
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience interfacing with internal & external partners in an entrepreneurial and cross-functional environment, requiring a latitude for independent judgment while coordinating people and technical resources
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Master's Degree in Business or Engineering
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Compensation
- $179,000/year - $249,000/year; Country: US; Bonus eligible; Equity eligible
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
California Notice
For those who live in or expect to work from California if hired for this position, please click here for additional information.
Equal Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Accommodations
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
About this role
Summary
Manage hardware supply chain and delivery for Meta’s large AI infrastructure clusters.
Job title
Supply Chain Lead, Large Clusters
Experience level
5+ years
Minimum experience
5+ years exp
Industry
technology
Location requirements
United States, remote work allowed
Salary
$179k–$249k
Management role
No
Skills & keywords
Required skills
supply chainhardwaredemand forecastingrisk managementstakeholder coordination
Preferred skills
AI practicescross-functional collaborationworkflow optimizationAI technologiesstrategic planning
Specializations
large clustershardwaresupply chain infrastructureAI
Locations
Structured locations inferred from the posting.
United States
Remote Country