Job description

"In this role, you will lead a high-performing team that focuses on customer-facing personalization capabilities that deliver significant commercial value for our organization and represent the future of digital retail. Your team will drive the strategic implementation of cutting-edge personalization technologies that uphold world-class privacy standards, including advanced recommendation engines, dynamic merchandising capabilities, adaptive user interfaces, and personalized lifecycle marketing campaigns that drive customer engagement and revenue growth. This role will require significant partnership with teams across Apple, including Apple Store Online teams, Machine Learning Engineering, Data Science, Design, and Marketing. Success in this role means delivering timely, relevant, and privacy-conscious personalized experiences for every Apple customer." 7+ years of product management experience in e-commerce, including direct leadership of complex projects or programs end-to-end, and 2 years of people leadership Proven track record of leading work across product or program managers, coaching and enabling team members, and empowering them to deliver high-impact results Experience building multi-year technical roadmaps that align feature, platform, and capability investments to business priorities Deep technical proficiency, with the ability to contribute to solution design and architecture decisions that produce extensible, operationally scalable experiences or platforms Proven ability to take high-level concepts through the full product lifecycle — from ideation to detailed planning to delivery — with systematic rigor at each stage Experience partnering across business, engineering, and design, with a track record of synthesizing complex information into clear narratives that drive alignment and progress BA/BS in Computer Science or a technical degree, or equivalent relevant professional experience 3+ years of hiring, developing, and managing product managers Proven track record building a portfolio of AI-powered digital commerce experiences—bridging design, technology, and machine learning to power seamless user journeys Experience delivering large-scale personalization, recommendation, or dynamic merchandising systems, defining capability stacks that incorporate privacy-first principles Expertise in scaling continuous experimentation programs to rigorously test, measure, and improve customer experience and conversion metrics Proven ability to navigate ambiguity and operate with ease in fast-paced, rapidly evolving environments Exceptional communicator and collaborator who aligns perspectives, drives accountability, and influences across matrixed teams without direct authority High self-awareness and humility, with a strong growth mindset and unwavering ownership of team culture and product outcomes

Requirements

Must-haves

7+ years of product management experience in e-commerce, including direct leadership of complex projects or programs end-to-end, and 2 years of people leadership
Proven track record of leading work across product or program managers, coaching and enabling team members, and empowering them to deliver high-impact results
Experience building multi-year technical roadmaps that align feature, platform, and capability investments to business priorities
Deep technical proficiency, with the ability to contribute to solution design and architecture decisions that produce extensible, operationally scalable experiences or platforms
Proven ability to take high-level concepts through the full product lifecycle — from ideation to detailed planning to delivery — with systematic rigor at each stage
Experience partnering across business, engineering, and design, with a track record of synthesizing complex information into clear narratives that drive alignment and progress
BA/BS in Computer Science or a technical degree, or equivalent relevant professional experience
3+ years of hiring, developing, and managing product managers
Proven track record building a portfolio of AI-powered digital commerce experiences—bridging design, technology, and machine learning to power seamless user journeys
Experience delivering large-scale personalization, recommendation, or dynamic merchandising systems, defining capability stacks that incorporate privacy-first principles
Expertise in scaling continuous experimentation programs to rigorously test, measure, and improve customer experience and conversion metrics
Proven ability to navigate ambiguity and operate with ease in fast-paced, rapidly evolving environments
Exceptional communicator and collaborator who aligns perspectives, drives accountability, and influences across matrixed teams without direct authority
High self-awareness and humility, with a strong growth mindset and unwavering ownership of team culture and product outcomes

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningai

Platform: apple
Effort: medium