Senior AI Product Engineering Manager, Agentic Commerce

Apple Inc.

Cupertino (CA)

On-site

USD 268,000 - 402,000

Full time

14 days+
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Benefits offered by this job

Medical and dental benefits
Stock options
Relocation assistance
Tuition reimbursement

Job summary

Apple is seeking a Senior Engineering Manager to own the Applied AI intelligence layer end-to-end, defining strategy and leading a multidisciplinary team across ML, data science, and product engineering (including frontend and iOS). This is a startup-like environment inside Apple with global impact.

You will translate ambiguous priorities into clear plans, build a high-craft product combining intelligence and client experiences, and drive delivery across Store, Shopping, Learning and Decision

Qualifications

  • 12+ years of experience in applied machine learning or large-scale AI systems.
  • 5+ years managing high-performing technical teams including managers.
  • Proven track record leading AI-powered products at global scale.
  • Experience presenting strategy to senior leadership.

Responsibilities

  • Define technical strategy for the Applied AI intelligence layer.
  • Own end-to-end product architecture spanning intelligence and client surfaces.
  • Translate AI strategy into reusable capabilities across 38+ locales.
  • Lead and grow a multidisciplinary team across ML, data science, and product engineering.
  • Partner with cross-functional teams to deliver high-quality user experiences.

Skills

Applied ML
Decision systems
Leadership
People management
Cross-functional collaboration

Education

Bachelor's degree

Job description

Apple is seeking a Senior Engineering Manager to own the Applied AI intelligence layer end-to-end, defining strategy and leading a multidisciplinary team across ML, data science, and product engineering (including frontend and iOS). This is a startup-like environment inside Apple with global impact.

You will translate ambiguous priorities into clear plans, build a high-craft product combining intelligence and client experiences, and drive delivery across Store, Shopping, Learning and Decision

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