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Regional Logistics Operations Specialist

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Meta
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, IT Consultant
Salary/Wage Range or Industry Benchmark: 89000 - 135000 USD Yearly USD 89000.00 135000.00 YEAR
Job Description & How to Apply Below

Regional Logistics Operations Specialist Responsibilities

  • Possess technical and operational logistics knowledge with understanding of the life cycle of data center logistics or supply chain operations and execution, and related tools and systems.
  • Ability to holistically assess a complex set of internal IBS systems and tools.
  • Ability to utilize data analytics to drive improvements and monitor success across the region.
  • Ability to integrate cross-functional team tools and contribute to a holistic roadmap.
  • Articulate and lead technical discussions across the region and be a subject matter expert with strategic influence and implications.
  • Support requirements and drive development of aggressive roadmaps to meet the needs of the team and partner teams.
  • Operate in a rapidly evolving, often ambiguous environment, processing new information and re-prioritizing as needed.
  • Work directly with leaders and teams to guide and influence complex logistics networks and operations for the regional teams, with a global impact in mind.
  • Partner closely with upstream teams on compliance, regulatory, and policy requirements to ensure risk minimization while scaling operations.
  • Follow current trends, their impact on business strategies, and implications for creating sustainable and scalable operations models.
  • 30% travel required.
Minimum Qualifications
  • Bachelor’s degree in supply chain, operations management, business management, and/or any other business-related field, or equivalent work experience.
  • Experience handling project management responsibilities (prioritization, planning, scheduling, status reporting).
  • Experience with Oracle/ERP systems, MS Office suite, WMS, TMS, and supply chain tools.
  • 2+ years of experience in logistics or supply chain.
  • Experience in SOX compliance.
  • Experience in identifying process gaps and engineering scalable processes for distribution across regional data center operations.
  • Strong communication and relationship skills, creative problem solving, attention to detail, and interpersonal skills.
Preferred Qualifications
  • 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 influencing and developing strategy across multiple teams.
  • Provided contributions to the change of trajectory of important initiatives beyond the immediate organization.
  • Demonstrated ability to integrate AI tools to increase operational efficiency.
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
  • Experience in a data center or technical infrastructure logistics environment, including server rack movements and hardware asset management.

$89,000/year to $135,000/year + bonus + equity + benefits

Meta builds technologies that help people connect, find communities, and grow businesses. Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on 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. Meta may use artificial intelligence and machine learning technologies in its recruiting process. Meta is committed to providing reasonable accommodations for candidates with disabilities in its recruiting process.

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