Senior Engineering Program Manager, AI Platform Infrastructure, Services Engineering

Overview

Summary The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. They operate at scale, delivering entertainment in over 35 languages to more than 150 countries. Our Program Managers partner with engineers who build secure, end-to-end solutions.

Thanks to Apple’s integration of hardware, software, and services, engineers and Program Managers work toward a unified vision with a deep commitment to Apple’s privacy policy. These teams remain small, flexible, and cross-functional, offering exposure to a broad range of opportunities.

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.

You’ll also drive alignment across complex technical dependencies and ensure we deliver integrated infrastructure that scales.

You are an ambitious individual who is proactive and able to work under minimal supervision at a detailed level while considering interdependencies at higher levels. You can coordinate multiple projects across locations. You have excellent written and interpersonal skills, pay attention to detail, and are highly organized. You have experience running a complex set of software deliverables with many interdependencies and you have a track record as a strong partner within engineering, design, and leadership.

You have excellent communication, organization and leadership skills relevant to our complex environment.

• Drive cross-functional programs that span Model Development, Model Serving, and App Serving infrastructure.
• Coordinate dependencies across teams building compute, storage, networking, and platform services.
• Partner with engineering leads to translate platform strategy into actionable roadmaps with clear milestones, owners, and success criteria.
• Identify technical and organizational risks early; facilitate alignment and unblock teams through proactive problem-solving.
• Establish program frameworks that provide visibility to cross-team dependencies, progress, and tradeoffs for leadership decision-making.
• Collaborate with ML Researchers, ML Engineers, and Platform teams to understand user needs and ensure infrastructure investments map to real jobs-to-be-done.
• Drive operational rigor across the program lifecycle, from requirements gathering through launch readiness and post-launch iteration.

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

• 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 triage, prioritize, and navigate ambiguity under pressure.
• Excellent written and verbal…