Engineering Program Manager, OS Programs - Apple Intelligence Operations

Why Apple? Apple Intelligence Operations is at the center of making some of the most exciting Software features a reality for Customers. As a SWE program manager in this role, you have the opportunity to collaborate with Apple Feature teams across the company to deliver Apple Intelligence powered features across every Apple product.

To thrive in this role, you enjoy driving clarity across many stakeholders, turning requirements into clear plans, and helping teams navigate fast-moving technical infrastructure. Your curiosity and passion for learning will inspire your thought leadership to invent new processes and refine existing ones to drive bringup for new models across on-device and server infrastructure, and guide adoption of new model versions.

The Model Operations team provides crucial partnership to connect the AIML team with the many feature teams across iOS, iPadOS, macOS, tvOS, watchOS, visionOS and services.

Minimum Qualifications

• 3-5+ years experience as a technical software Project or Program Manager, ideally supporting ML/AI or model-focused teams

• Prior experience leading and shipping complex, cross-functional technical projects and quickly picking up new technologies

• Hands on experience with software development practices and/or the machine learning model lifecycle (training, evaluation, deployment)

• Strong technical understanding of on-device and server model infrastructure, and how models integrate into product features

• Experience working with large language models, foundation models, or other generative AI systems

• Familiarity with on-device and server-side deployment constraints (memory, latency, compute) for ML models

Preferred Qualifications

• Excellent spoken and written communication with the ability to tailor communication style across research engineers, infrastructure teams, and feature team leads

• Proven track record in defining processes and executing on them in ambiguous, fast-moving environments

• Self-motivated and enthusiastic with demonstrated creative and critical thinking capabilities

• Deeply curious about how models work and how they get built into product features, with a passion for connecting technical capability to real user impact

• Excellent attention to detail and highly organized, able to track many concurrent workstreams across multiple teams

• Ability to build relationships and influence others without direct authority

• Comfortable engaging with technical concepts related to machine learning models, model infrastructure, and APIs