Infrastructure Business Operations Support (IBOS) is seeking an experienced Logistics Operations Lead to own New Product Introduction (NPI) and lab support across NORAM field logistics. This individual contributor role is the on-site owner of the "last mile" of introducing new hardware platforms — new server and GPU SKUs, rack designs, network switches, optics, and power equipment — into Meta's field logistics and distribution network across Meta-operated and third-party logistics (3PL) facilities. The Logistics Operations Lead is the primary liaison between Hardware Engineering, field operations teams, and supply chain partners during product ramps — proving out receiving, staging, storage, kitting, and distribution flows for products that have never moved through the network before, then hardening and standardizing those flows for scale. This role anticipates the logistics implications of new products ahead of ramp, resolves material flow issues before they scale, and ensures every introduction leaves behind repeatable, compliant, site-ready processes. In addition, this role serves as the

IBOS NORAM

field focal point for Meta Lab support — including infrastructure labs and network engineering labs — coordinating field logistics across the region's lab environments.

Qualifications:

Bachelor's degree in Logistics, Supply Chain, Operations Management, Industrial Engineering, or a similar field, or equivalent practical experience 8+ years of experience in logistics, supply chain operations, or technical site services within a data center, large-scale infrastructure, or a comparable industrial environment 8+ years of experience in managing inventory control processes, including cycle counting, reconciliation, and asset tracking across distributed locations Experience leading cross-functional projects involving third-party logistics providers, infrastructure teams, and internal stakeholders Experience developing and managing operational metrics and KPIs to drive performance accountability and continuous improvement Experience with supply chain processes spanning procure-to-pay, including business process mapping, gap analysis, and requirements documentation 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 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) Experience operating in a large-scale, multi-site data center or hyperscale infrastructure logistics environment with responsibility for fleet-wide process standardization Demonstrated ability to integrate AI tools to redesign logistics workflows and deliver measurable outcomes such as reduced cycle time, improved inventory accuracy, or cost savings Familiarity with SOX compliance requirements as they apply to inventory management and asset audit processes in a technology infrastructure context Experience with data analysis platforms and logistics management systems used to monitor inventory, track shipments, and generate operational reporting Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)