About The Position

Join a worldwide company that welcomes the whole wide world. Our customers are all over the world, so it's by design that Apple employees are all over the world, too. And we know our ability to continue creating the world's most innovative products depends on people who represent the variety of the human experience and who inspire us with great thinking. Because the broader the backgrounds and perspectives, the bigger the ideas. At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone.As part of a team dedicated to building the Cloud Infrastructure Demand Planning function, we work with cross-functional business partners to forecast and aggregate long-term infrastructure demand across cloud resources, data centers, and hardware. With this data we propose and implement strategies for optimizing cloud and datacenter resource planning, including buffer assessments, inventory management, financial liability management, and supply chain risk mitigation. This role requires a strategic attitude, technical expertise in cloud infrastructure, and strong problem solving capabilities to optimize prioritization. We partner with engineering, finance, and supply chain teams to align demand forecasts with procurement and deployment strategies. Your ability to work with senior leadership to review long-term infrastructure capacity plans and secure approvals for resource acquisition and deployment will be essential to your success in this role.

Requirements

  • MBA or MS in Operations Research, Supply Chain, Data Science, Engineering or a related field.
  • Deep understanding of cloud and datacenter infrastructure, including compute, storage, networking, virtualization, and hyperscale/cloud provider ecosystems.
  • Experience with cloud capacity planning and forecasting methodologies for AWS, Azure, GCP, or private cloud environments.
  • Experience with Cloud FinOps (financial operations), particularly cost forecasting and chargeback models.
  • Familiarity with AI/ML-driven capacity planning and predictive analytics tools.
  • Prior experience in a hyperscale cloud provider, data center operator, or large enterprise infrastructure planning team.
  • Knowledge of operations research, statistical forecasting, or machine learning techniques for infrastructure planning.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Computer and Electronic Product Manufacturing

Number of Employees

5,001-10,000 employees

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