About The Position

The Apple Cloud Services Infrastructure team is seeking a senior engineering program manager to drive the development of our AI platform software stack. You'll be the connective tissue between infrastructure engineering teams building the foundational systems that power AI/ML development across Apple. Spanning Model Development, Model Serving, and App Serving capabilities, you'll partner with engineering, product, and business teams to translate platform vision into executable roadmaps. In addition you’ll be responsible for driving alignment across complex technical dependencies and ensuring we deliver integrated infrastructure that scales.

Requirements

  • 8+ years in technical program management, with significant experience in infrastructure or platform development
  • Deep understanding of distributed systems, cloud infrastructure, and software development lifecycles
  • BS in Computer Science, Engineering, or related technical field or related experience

Nice To Haves

  • Experience with ML/AI infrastructure: training clusters, model serving, or ML platform tooling
  • Background in GPU/accelerator infrastructure or high-performance computing
  • Familiarity with container orchestration (Kubernetes), workflow systems, or distributed data platforms
  • Experience building developer platforms or infrastructure-as-a-service products
  • Understanding of ML development workflows: experiment tracking, model registries, pipeline orchestration
  • Proven ability to drive complex, multi-team technical programs from ambiguity to delivery
  • Track record of influencing senior engineering leaders and building consensus across organizations with competing priorities
  • Strong technical acumen and the ability to engage with product and engineering on architecture decisions and tradeoffs
  • Self-motivated and proactive; demonstrated ability to quickly triage, prioritize, and navigate ambiguity under pressure
  • Excellent written and verbal communication; able to translate technical complexity into clear narratives for diverse audiences
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