Meta is seeking an experienced Regional Logistics Operations Specialist to lead site services and technical logistics operations across a regional portfolio of data center and infrastructure facilities. In this role, you will manage third-party logistics providers, drive process standardization, and ensure inventory accuracy and Sarbanes-Oxley compliance across regional sites. You will partner with cross-functional teams including data center operations, procurement, and finance to optimize logistics workflows, support hardware asset lifecycle management, and deliver consistent operational performance aligned to Meta's infrastructure supply chain standards.
- Manage and optimize regional logistics operations for data center site services, including inbound and outbound freight, hardware asset movements, and inventory control across multiple facilities
-
Oversee third-party logistics providers and site services vendors, holding them accountable to service level agreements and operational performance metrics
-
Utilize data analytics and supply chain reporting tools to monitor regional logistics performance, identify trends, and drive continuous improvement initiatives
-
Lead process standardization efforts across regional sites, engineering scalable logistics workflows that support data center growth and operational consistency
-
Partner with upstream procurement, finance, and compliance teams to ensure adherence to Sarbanes-Oxley requirements and regulatory obligations across logistics operations
-
Serve as a regional subject matter expert on technical logistics, facilitating cross-functional discussions and influencing decisions related to inventory management systems and logistics network design
-
Develop and maintain aggressive operational roadmaps in collaboration with partner teams, aligning short, mid, and long-term logistics goals to broader infrastructure supply chain objectives
-
Assess and integrate cross-functional systems including ERP, warehouse management, and transportation management platforms to support a cohesive regional logistics ecosystem
-
Analyze the impact of business changes on regional logistics operations and implement risk mitigation measures to maintain continuity and compliance
-
Travel approximately 30% of the time to regional data center and infrastructure sites to support operations, conduct vendor reviews, and drive on-site process improvements
-
6+ years of experience in logistics, supply chain operations, or site services within a technical infrastructure or data center environment
-
Experience managing third-party logistics providers and holding vendors accountable to operational and compliance standards
-
Experience with ERP systems such as Oracle, warehouse management systems, transportation management systems, and supply chain reporting tools
-
Experience identifying process gaps and designing scalable logistics processes for distribution across multiple regional sites
-
Experience supporting Sarbanes-Oxley compliance requirements within a logistics or supply chain operations context
-
Experience using data analytics to monitor operational performance, identify improvement opportunities, and communicate findings to stakeholders
-
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 in data center or technical infrastructure logistics, including server rack movements, hardware asset lifecycle management, and spare parts inventory control
-
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
-
Experience influencing logistics strategy across multiple regional teams and contributing to initiatives with cross-organizational impact
-
Demonstrated ability to integrate AI tools to redesign logistics workflows and drive measurable operational improvements such as efficiency gains or error reduction
-
Demonstrated ongoing development of AI skills, including prompt engineering and agent orchestration, applied to supply chain or logistics operations contexts
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.
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 stereotypes, 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
[email protected].
$115,000/year to $163,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
