AIML Engineering Program Manager

Job Description

Apple's Retail Decision Automation team is looking for an outstanding and experienced AIML Engineering Program Manager who is passionate about delivering production-grade machine learning and analytics solutions.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
• 7+ years of technical program or product management experience.
• Strong experience working with machine learning, analytics, or data science-driven programs.
• Proven track record to lead high-impact, cross-functional initiatives with multiple decision points and success metrics.
• Skilled at translating ambiguous business needs into well-scoped, data-driven projects.
• Excellent organizational, prioritization, and communication skills.
• Comfortable operating in fast-paced environments with evolving requirements.

Responsibilities

• Identify risks, resolve roadblocks, and keep teams focused and aligned on goals.
• Translate business needs into clear requirements, project plans, and success metrics.
• Develop a culture of trust, collaboration, and inclusion across the program team.
• Communicate technical and analytical results clearly to both technical audiences and senior business partners.
• Bring structure and awareness of sophisticated programs with many parallel workstreams and moving parts.
• Establish and track business-critical metrics and ensure data-driven decisions at every stage.

Benefits

• 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.