Senior Engineering Program Manager, Apple Music - ML & Infrastructure, Apple Services Engineering

Apple Services is an exciting environment and a dynamic development organization. With customers around the world, we are a fast-growing marketplace for music, movies, TV shows, books, podcasts, and apps. We're looking for people who can partner with our Stakeholders and Engineering teams to ship complex, customer-facing music recommendation systems while also driving infrastructure-critical initiatives.

Description

You will bring deep technical domain expertise to 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. Strong fundamentals are a requirement but you have more. You take responsibility; you feel a personal stake in the product you ship; you communicate responsibilities and scope clearly; you value integrity; you thrive in conflict; you know how things work; you work for the success of the entire Program Management team; you thrive in uncertainty and strive to bring order to it; you have deep wisdom and judgment; you keep your eye on the ball; you build strong relationships; you are aware of politics but do not get mired in them; you are constantly looking to improve yourself and your team; and you ship code which millions of customers will use.

Minimum 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 filed or equivalent industry experience

Preferred Qualifications

Experience driving ML/recommendation system programs and data infrastructure initiatives including A/B testing frameworks, experiment design, GenAI, and interpreting ML model metrics to inform product decisions.

Experience with privacy/compliance-gated engineering work including navigating privacy reviews & requests, and translating legal/compliance requirements into engineering timelines.

Understanding of waterfall and agile project management methodologies

Experience as an embedded EPM, directly supporting engineering teams by facilitating agile ceremonies (e.g., sprint and capacity planning) and managing release documentation

Strong facilitation skills to drive complex, cross-functional, and comprehensive projects

Exceptional verbal and written communication, including presentation skills to all levels of an organization

Comfortable operating in extended ambiguity; able to drive urgency on infrastructure timelines without losing momentum on feature delivery

Experience with establishing processes and/or team culture

Passionate about protecting privacy while delivering key product insights

Prior software development experience is a plus

Experience in music industry a plus