Senior Engineering Program Manager - ML & Infrastructure for Music

Socket.dev; Cupertino (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Apple Services is seeking an Engineering Program Manager to drive server-side initiatives at a fast pace, balancing ML experimentation with foundational data infrastructure work. You will own outcomes and delivery, communicating scope clearly and shipping code used by millions of customers.

With strong technical fundamentals, you will partner with stakeholders and engineering teams, manage dependencies, and help steer privacy-aware engineering practices across programs.

Qualifications

• 7+ years work experience as an Engineering Program Manager.
• Strong technical program manager with a proven track record in driving software development initiatives.
• Knowledge of key technologies and systems involved in big data processing, machine learning, and distributed systems.
• Demonstrated ability to manage complex dependency chains across multiple engineering organizations.
• BS in Computer Science, Engineering or related technical field or equivalent industry experience.

Responsibilities

• Drive server-side initiatives under tight release cycles, moving fluidly between ML experimentation and foundational data infrastructure work.
• This is not a task-based job; you will be responsible for successful outcomes and delivery.
• You take responsibility, communicate scope clearly, and ship code which millions of customers will use.

Skills

Big data

Machine learning

Distributed systems

Technical PM

Cross-functional leadership

Communication

Privacy/compliance

Education

BS in CS/Engineering or related field

Job description

Apple Services is seeking an Engineering Program Manager to drive server-side initiatives at a fast pace, balancing ML experimentation with foundational data infrastructure work. You will own outcomes and delivery, communicating scope clearly and shipping code used by millions of customers.

With strong technical fundamentals, you will partner with stakeholders and engineering teams, manage dependencies, and help steer privacy-aware engineering practices across programs.