Drimva

Apple

Manager, Platform Product Management

$184K–$276K

Sunnyvale, California · Manager · Full-time · Posted Jul 31, 2026

Experience
7+ years in Product Management and Project/Program Management; preferred: 3+ years managing Product or Technical Program Managers.
Education
BA/BS in Computer Science or a technical degree, or relevant professional experience.

About the job

Leads product and program management for Apple Store Online’s e-commerce platform, setting strategy and roadmaps and delivering customer-facing capabilities with cross-functional teams.

What you'll do

  • Shape the multi-year e-commerce platform strategy and manage technical product roadmaps aligned with business goals, customer needs, and technical feasibility.
  • Lead product discovery, requirements, and delivery of new capabilities, while removing technical, business, and organizational roadblocks.
  • Build and develop a team and communicate plans and program status to partners and leadership.

What they ask for

  • 7+ years of Product Management and Project/Program Management experience driving e-commerce or consumer digital experiences.
  • Proven record of shipping internet-scale services end to end, especially e-commerce platforms, from concept through launch and ongoing operation.
  • Hands-on technical fluency with web technologies, distributed/service architectures, APIs, cloud infrastructure, and data pipelines; understanding of modern e-commerce platforms.
  • BA/BS in Computer Science or a technical degree, or relevant professional experience.

Nice to have

  • 3+ years managing a team of Product or Technical Program Managers.
  • Practical experience applying AI, machine learning, or deep learning to digital commerce, such as personalization or search/recommendations.

Pay

$183,700 and $276,200 (base salary)

Tools

web technologies, large-scale distributed/service architectures, APIs, cloud infrastructure, data pipelines, microservices, payment and checkout systems, AI

AI focus

Preferred work includes applying AI, machine learning, and deep learning to digital commerce, including personalization and search/recommendations.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)