Apple

AI Product Manager - APO BPR

Apple Shanghai, Shanghai, China

Computers and Electronics Manufacturing · 10,001+ employees

3 d ago
product-manager Senior (5-10 yrs) Full-time China
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About the role

Own strategic digital transformation initiatives supporting APO 2030 goals and champion AI-enabled innovation across Apple Procurement and Operations. Partner with global cross-functional teams to identify business challenges, redesign processes, and deliver technology solutions that improve efficiency, decision-making, and business outcomes.

What they look for

Product Management Business Analysis Supply Chain Transformation Process Optimization Digital Product Initiatives Generative AI Large Language Models AI Agents Agentic Workflows Prompt Engineering Retrieval-Augmented Generation Tool Calling Model Context Protocol AI Evaluation Stakeholder Management Data-Driven Decision-Making

Requirements

Requires a bachelor’s degree in a relevant field and at least five years of experience in business analysis, product management, product operations, supply chain transformation, or a related area. Preferred qualifications include supply chain domain expertise, experience leading large-scale transformation and digitalization, strong analytical and stakeholder skills, and hands-on application of generative AI to business problems.

Full description

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.

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.

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.

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