Apple's AIML Data Operations organization is seeking a hands-on senior engineering manager to lead a team focused on building software for machine learning data collection and delivery at scale. This role requires deep full-stack software engineering experience and a proven ability to lead high-performing teams. The team is dedicated to delivering high-quality, human-annotated machine learning data to enhance Apple's consumer software and hardware products. The ideal candidate will be passionate about technical leadership, people development, and the potential of artificial intelligence.

• Bachelor's degree in Computer Science, Software Engineering, or a closely related technical field, or equivalent practical experience.
• 5+ years of experience managing software engineering teams, including direct management of 10+ engineers responsible for production software applications and services.
• 8+ years of progressive experience as a software engineer designing, building, and operating production-grade software systems.
• Demonstrated expertise in a modern, compiled, object-oriented language such as Swift, Objective-C, Go, C++, or Java.
• Experience with large-scale distributed systems such as Spark, Hadoop, Kafka, or Kubernetes.
• Experience administering and optimizing commercial cloud services for scalable and resilient application deployments.

• Lead a team of software engineers building custom internal software solutions for machine learning data collection and delivery.
• Set technical direction and establish engineering culture and best practices within the team.
• Partner with ML researchers, data scientists, and product teams to understand requirements and deliver scalable software solutions.
• Hire, mentor, and grow engineers at all levels within the organization.
• Communicate technical strategy and program status to executive stakeholders.
• Embrace emerging technologies and foster a user-focused, highly-collaborative, and growth-minded team environment.

• 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.