The Senior Program Manager role at Apple focuses on driving the adoption of machine learning and enhancing the data platform products. This position is part of the Apple Data Platform EPM team, which powers various applications across the Apple ecosystem. The role involves overseeing a platform responsible for secure data management and analytics, enabling effective ML lifecycle management. Collaboration with cross-functional partners is essential to deliver impactful ML and data platform products that meet organizational needs.

• 7+ years of experience leading large cross-functional infrastructure programs.
• 2+ years of experience leading ML, AI, and data programs.
• Demonstrated success in delivering reliable, large-scale ML infrastructure and data platform products.
• Solid understanding of cloud technologies and experience in building hybrid cloud ML infrastructure.
• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field or relevant industry experience.
• Familiarity with ML infrastructure and frameworks like PyTorch and TensorFlow.

• Oversee a platform responsible for secure data ingestion, storage, and management.
• Collaborate extensively with cross-functional partners within and beyond the AI/ML landscape.
• Define and deliver impactful ML and data platform products.
• Explore business opportunities and connect insights across roles and functions.
• Support model training and enhance product quality for a seamless user experience.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.