Logistics Capacity Program Manager

Meta•Redmond, WA

1d•$138,000 - $196,000

About The Position

Meta is seeking an experienced Logistics Capacity Program Manager to join Reality Lab's Global Logistics team. This role is responsible for building and executing a comprehensive network capacity plan for all fulfillment and transportation nodes across multiple countries. The ideal candidate will have experience driving both short-term (0–13 weeks) and long-term (1–3 years) capacity planning, ensuring Meta's logistics network is optimized to meet business needs and growth targets.

Requirements

Bachelor’s degree in Supply Chain, Logistics, Engineering, Operations Research, Data Science, or a related field
7+ years of experience in logistics, supply chain, or capacity planning roles, with a proven track record of managing complex, global networks
Demonstrated experience in short-term and long-term capacity planning
Proven analytical skills with the ability to perform extensive data analysis and translate findings into actionable strategies
Proficiency in data analysis tools (e.g., SQL, Python, Excel) and experience with forecasting/modeling techniques
Experience collaborating with cross-functional teams in a fast-paced, matrixed environment
Executive-level communication and presentation skills

Nice To Haves

Master’s degree or higher in a relevant field
Experience building or deploying AI/ML solutions in logistics or supply chain contexts
Familiarity with logistics network design, transportation management systems, and fulfillment operations
Experience working in a global, multi-country environment
Proven experience influencing and drive alignment across a wide range stakeholder groups

Responsibilities

Develop and maintain global network capacity plans for fulfillment and transportation nodes, covering both short-term (0–13 weeks) and long-term (1–3 years) horizons
Analyze demand and supply trends to proactively identify capacity constraints and opportunities across the logistics network
Optimize storage costs by analyzing inventory levels, warehouse utilization, and implementing strategies to reduce excess storage and improve space efficiency
Collaborate with cross-functional teams, including procurement, supply chain, operations, engineering, and finance, to identify and execute initiatives that drive down overall fulfillment costs
Lead data inspection to uncover insights, drive root cause analysis, and inform decision-making for network optimization and cost management
Design and implement AI-driven solutions to automate, forecast, and optimize capacity planning and cost control processes
Present recommendations and findings to executive leadership and stakeholders, influencing strategic decisions with a focus on both capacity and cost outcomes
Continuously improve planning tools, models, and processes to enhance accuracy, scalability, efficiency, and cost-effectiveness