Supply Chain Lead, Large Clusters

Meta • Menlo Park, CA • 2h ago

Summary:

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.

Required Skills:

Supply Chain Lead, Large Clusters 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

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

Public Compensation:

$179,000/year to $249,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereo@types, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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