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Meta is seeking a highly experienced and results-oriented Warehouse Operations Manager, who will be responsible for the dedicated management of third-party logistics (3PL) operations across Meta’s centralized warehouse network. This position acts as the key operational liaison between Meta and our 3PL providers. You will drive operational efficiency, ensure compliance with Meta’s company standards, and directly support the anticipated centralized warehouse growth in 2026. This role is crucial for ensuring the efficient, timely, and cost-effective movement of goods, supplies, and equipment across our warehouses, data centers, and POP/Hut network
Job Responsibility
Engage with internal customers and gain understanding of their current and future needs
Shape the customer-facing vision of the team and the roadmap for internal activities in support of the vision
Acts as the focal point of communication with key stakeholders, including internal and external customers at all levels
Responsible for leading logistics vendors’ execution in a manner that is compliant with Meta policies and procedures
Develops, implements, and manages operational and financial objectives and key results (OKRs) through key performance indicators (KPIs). Collaboratively influences change within supply chain and external vendors
Develop standards, metrics, and procedures that maximize deployment efficiency. Collaborate with cross-functional teams and stakeholders to identify and prioritize initiatives to optimize capabilities and develop / scale operational management practices
Support developing and implementing tools, processes, and systems for tracking, analyzing, and reporting inventory and other related metrics
Assist in meeting Sarbanes-Oxley requirements that apply to operations and inventory control within the warehouse
Perform root cause analysis on discrepancies related to 3PL operations
Develop and maintain standard operational procedures (SOPs) that leverage best practices and streamline the global warehouse operations for scalability into new regions while also providing training platforms for new vendors
Engage with internal customers to gain an in-depth understanding of their current and future distribution needs
Shape the customer-facing strategy of the team and roadmap internal activities in support of the overall mission
Collaborate with cross-functional teams and stakeholders to align logistics operations with organizational goals and objectives, and to identify and prioritize initiatives to optimize proficiencies and develop/scale operational management practices
Analyze data and metrics to identify trends, opportunities, and challenges, and develop strategies to address them
Support developing and implementing tools, processes, and systems for tracking, analyzing, and reporting inventory
Hands-on working experience with logistics management systems
Demonstrated leadership experience, such as influencing partners, organizations, successful mentoring, supporting the growth of other employees and teams, etc
7+ years of experience in global logistics, distribution, or supply chain management, with a proven track record of success in operations
Operational experience at a logistics provider and distribution experience
Established competence to leverage quantitative and qualitative data to identify trends and drive optimal supply chain execution, including standardizing data analysis across cross-functional partners (e.g., finance, planning, fulfillment)
Confirmed expertise to drive continuous improvement, development, standardization, and the implementation of processes and systems
Nice to have
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
Understanding of relational database structures and systems in order to help move the field of analysis towards automation integration
Knowledge of ERP, WM, TMS, and dock schedulers
Experience identifying operational inefficiencies and implementing process improvements in logistics or supply chain environments
Master's degree in Supply Chain Management, Industrial Engineering, Operations, or an MBA
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience working in or with the import/export environment of a 3PL/ carrier
Experience in logistics operations in a global, high-growth and automated environment