Apple's Special Projects team is looking for an Engineering Program Manager to lead critical data initiatives that enhance AI and machine learning experiences. The role involves managing complex data programs from ideation to execution while collaborating with cross-functional teams. The EPM will ensure high-quality datasets and infrastructure are delivered to support innovative AI capabilities. Strong program management skills and technical knowledge in data systems are essential for success in this position.

• 5+ years of program/project experience managing complex, cross-functional technical programs.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
• Proven track record of independently identifying and mitigating risks in ambiguous, fast-paced environments.
• Exceptional communication and presentation skills.
• Hands-on experience with data-centric projects, from collection and annotation to model training and evaluation.
• Experience driving process improvements in data-centric programs.

• Lead high-complexity projects from ideation through definition, execution, and closure for data initiatives.
• Manage complex data programs while partnering with cross-functional teams.
• Build defensible plans and secure stakeholder buy-in.
• Drive clarity from complexity while maintaining program momentum.
• Transform data requirements into actionable programs that meet Apple's quality standards.

• 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.