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Apple

AI Product Manager - APO BPR

ChinaPosted Oct 2, 2026

Apply on company site View full job

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.

Description
In this highly visible role within the APO Business Process Engineering team, you will be the primary owner of the digital transformation strategic initiatives critical to delivering our APO 2030 goals, and the champion of AI-enabled innovation across Apple Procurement and Operations organizations.

You will partner closely 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 drive efficiency, enhance decision-making, and elevate business outcomes. ","responsibilities":"The ideal candidate combines strong business analysis skills, product thinking, project and stakeholder management, and a solid understanding of emerging AI technologies, including Generative AI and AI Agents.
Key responsibilities include:
Identify high impact digital transformation and AI opportunities.
Lead and manage projects from concept to completion.
Drive alignment and communicate effectively with cross-functional partners, stakeholders, and executive leadership.
Manage the full life cycle of Digital Products & Platforms.
Conduct business analysis & requirements management.
Apply the latest concepts in Generative AI and agentic automation to solve real-world business problems.

Preferred Qualifications
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, driven individual who is comfortable 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 across one or more supply chain functions, including Planning, Procurement, Logistics, and Manufacturing Operations.
Demonstrated ability to analyze complex business challenges, identify improvement opportunities, and translate them into scalable business and technology solutions.
Proven ability to influence decision-making and build alignment across all levels of the organization without direct authority.
Experience leveraging data and insights to support business decisions and measure outcomes.

AI Competency
Generative AI fundamentals
Large Language Models
AI Agents and Agentic Workflows
Prompt Engineering concepts and best practices
Retrieval-Augmented Generation
Tool Calling, Model Context Protocol, and agent orchestration concepts
Agent skills
AI evaluation and quality measurement
Hands-on experience applying Generative AI solutions to solve business problems, improve operational efficiency, or enhance decision-making processes is highly desirable.

Minimum Qualifications
Bachelor's degree in Supply Chain, Operations, Information Systems, Engineering, or a related field.
5+ years of experience in Business Analysis, Product Management, Product Operations, Supply Chain Transformation, or related roles.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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