About The Position

The Product Manager will work within Apple’s APO Business Process Engineering team as the primary owner of digital transformation strategic initiatives supporting APO 2030 goals and as a champion of AI-enabled innovation across Apple Procurement and Operations. The role partners with global Supply Chain Operations, Planning, Procurement, Engineering, Product Design, and Development teams to identify business challenges, redesign operational processes, and deliver technology solutions that improve efficiency, decision-making, and business outcomes. The position combines business analysis, product management, project and stakeholder management, and knowledge of emerging AI technologies, including Generative AI and AI Agents. It manages the full life cycle of digital products and platforms and applies AI concepts such as agentic automation to business problems.

Requirements

  • Bachelor’s degree in Supply Chain, Operations, Information Systems, Engineering, or a related field.
  • At least 5 years of experience in Business Analysis, Product Management, Product Operations, Supply Chain Transformation, or related roles.
  • Solid understanding of product development and implementation lifecycles.
  • Exceptional analytical and problem-solving capabilities.
  • Demonstrated experience driving digital product initiatives.
  • Experience working in a global and cross-functional environment.
  • Outstanding communication, organization, and stakeholder management skills.
  • Self-motivated and driven, with comfort working in a fast-paced environment.
  • Proven experience driving large-scale business transformation, process optimization, and digitalization initiatives within Supply Chain Operations.
  • Strong domain expertise in one or more supply chain functions, including Planning, Procurement, Logistics, or Manufacturing Operations.
  • Proven ability to influence decision-making and build alignment across organizational levels without direct authority.
  • Knowledge of Generative AI fundamentals, Large Language Models, AI Agents and agentic workflows, prompt engineering, Retrieval-Augmented Generation, tool calling, Model Context Protocol, agent orchestration, agent skills, and AI evaluation and quality measurement.

Nice To Haves

  • Hands-on experience applying Generative AI solutions to solve business problems, improve operational efficiency, or enhance decision-making.

Responsibilities

  • Identify high-impact digital transformation and AI opportunities.
  • Lead and manage projects from concept to completion.
  • Drive alignment and communicate with cross-functional partners, stakeholders, and executive leadership.
  • Manage the full life cycle of digital products and platforms.
  • Conduct business analysis and requirements management.
  • Apply Generative AI and agentic automation concepts to solve business problems.
  • Analyze complex business challenges, identify improvement opportunities, and translate them into scalable business and technology solutions.
  • Use data and insights to support business decisions and measure outcomes.
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