Manager, Engineering Program Management, AI Platforms & Infrastructure

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$212,600–$376,300 / yr
Posted
136 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k
This role $294k
$149k most similar roles pay here $401k

This role pays more than 88% of similar roles. Most pay $190,075–$250,071 — the shaded band above. At the midpoint, this role pays about $294k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Manager, Engineering Program Management, AI Platforms & Infrastructure

Mgr, Engineering Program Management, AI Platforms & Infrastructure leads strategy, execution, and delivery across the AI/ML platform and infrastructure programs within the Apple Services Engineering organization. The role involves building, scaling, and mentoring a high-performing team of Engineering Program Managers to manage large-scale GPU and TPU compute infrastructure, Foundation Model inference platforms, and hybrid-cloud systems. Key responsibilities include driving cross-functional alignment between engineering, product, and operations teams, managing relationships with tier-1 cloud vendors, and spearheading cost efficiency and operational excellence programs. The position requires expertise in capacity forecasting, performance tuning, and disaster recovery for multi-region environments. Candidates must possess experience with distributed training frameworks like PyTorch, Megatron-LM, or JAX, as well as FinOps practices. This role solves complex technical challenges regarding scalable, low-latency compute infrastructure for generative AI and machine learning workloads.

What you'll do

  • Build, scale, and mentor a high-performing team of Engineering Program Managers.
  • Lead strategy, roadmap planning, and execution for large-scale AI/ML infrastructure programs.
  • Drive cross-functional alignment to deliver scalable, low-latency compute infrastructure using GPU and TPU clusters.
  • Manage strategic relationships with tier-1 cloud vendors regarding technical constraints, capacity plans, and SLAs.
  • Spearhead cost efficiency and operational excellence through resource allocation and compute capacity forecasting.
  • Align engineering roadmaps with operations for performance tuning and disaster recovery in hybrid-cloud environments.
  • Define qualification and rollout plans for new infrastructure build-outs to ensure reliability and performance.
  • Translate complex product requirements into long-term infrastructure strategies optimized for global scale.

What we're looking for

  • BS/MS in EE, CS, CE, or equivalent degree.
  • 10+ years of experience in product or program management.
  • At least 3+ years of experience in a people management or lead EPM role.
  • Proven experience building and scaling teams within a highly matrixed environment.
  • Extensive experience managing strategic relationships with top-tier cloud vendors and external partners.
  • Track record of delivering large-scale cost optimization and operational efficiency programs in hybrid-cloud environments.
  • Experience in multi-tenant, high-performance compute environments running large-scale Foundation Models or similar ML workloads.
  • Deep technical background in AI/ML infrastructure, including GPU/TPU capacity management and distributed training frameworks.

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