Senior AI & Cloud Quality Program Manager

Apple Inc.; Cupertino (CA); On-site; USD 145,000 - 264,000; Full time

Benefits offered by this job

Employee stock purchase plan

Discretionary bonuses

Relocation assistance

Job summary

Apple Inc. in Cupertino, CA is seeking a Senior Engineering Program Manager for Private Cloud Compute.

You will lead end-to-end quality engineering efforts across PCC software, ML workloads, and Apple Silicon datacenter validation, partnering with cross-functional teams to ensure secure, private, and reliable cloud infrastructure. The role emphasizes strong communication, systems thinking, and the ability to break down complex goals into actionable milestones for large-scale, distributed

Qualifications

• 6+ years of experience in program management, tech program management, or related roles.
• Excellent written and verbal communication and presentation skills across levels.
• Ability to influence and collaborate across functions without direct authority.

Responsibilities

• Own end-to-end quality engineering program lifecycle for PCC, including releases and model rollouts.
• Partner with engineering, SRE, and ML teams to define comprehensive E2E test coverage.
• Lead QA sign-off and ensure production readiness for PCC releases.
• Provide clear, stakeholder-tailored reporting and drive incident retrospectives when needed.

Skills

Program management

Cross-functional leadership

Technical background

SRE/QA collaboration

Distributed systems

Education

B.S. or M.S. in Computer Science/Info Systems

Tools

Kubernetes

Build/Release pipelines

Job description

Apple Inc. in Cupertino, CA is seeking a Senior Engineering Program Manager for Private Cloud Compute.

You will lead end-to-end quality engineering efforts across PCC software, ML workloads, and Apple Silicon datacenter validation, partnering with cross-functional teams to ensure secure, private, and reliable cloud infrastructure. The role emphasizes strong communication, systems thinking, and the ability to break down complex goals into actionable milestones for large-scale, distributed