Engineering Program Manager, AI/ML, Apple Services Engineering (ASE)

Apple•Cupertino, CA

About The Position

The Apple Services Engineering (ASE) is an exciting & dynamic organization with customers in 155 countries, producing innovative products in a fast-growing marketplace for music, movies, TV shows, books - and, of course, apps. This is a hands-on position where you will be involved in requirements analysis, functional and technical design discussions, testing, proof-of-concept, working with partners, and more. This is not a task-based job; you will be responsible for successful outcomes and delivery. Strong fundamentals are a requirement but you have to have more. You take responsibility; you feel a personal stake in the products you ship; you communicate responsibilities and scope clearly; you value integrity; you know how things work; you work for the success of the entire team; you thrive in uncertainty and strive to bring order to it; you have deep wisdom & judgement; you keep your eye on the ball; you build strong relationships; you are constantly looking to improve yourself and your team; you're prescient; and you have shipped products which millions of customers have used. DESCRIPTION Drive the end-to-end delivery of large-scale, cross-functional Machine Learning (ML) and Generative AI (GenAI) programs and features within Apple Media Products (AMP). Lead the strategic planning, execution, and delivery of multiple concurrent ML/GenAI features, encompassing scope definition, requirements gathering, timeline management, and resource allocation. Cultivate strong collaborative relationships with cross-functional partners (Design, Engineering, Data Science, QA, Legal, Finance, Privacy, Anti-Fraud, Business Operations) to define product roadmaps and manage the feature intake pipeline. Spearhead initiatives to optimize feature development and execution processes within the Apple Media Products organization, driving continuous improvement. Contribute to the overall ML/GenAI strategy for AMP, effectively communicating program status, risks, and mitigation plans to stakeholders at all levels.

Requirements

5+ years of program management experience, including experience taking features through the complete software development life cycle
Strong technical proficiency – Machine Learning experience

Nice To Haves

Experience to execute cross-functional and cross-organization project management - ability to work across diverse teams, navigate organizational landscape, build relationships and drive project delivery
Ability to understand and extract action plans from complex technical discussions & translate into succinct messaging for multi-functional and executive status reporting
Built global products by collaborating across Product, Engineering, Data Sciences, Analytics, Design and other key partners
Consistent track record of shipping complex customer-facing and backend engineering projects under demanding timelines
Strong facilitation skills (requirements sessions, design meetings, progress and status meetings)
Best-in-class communication and presentation skills (written & verbal) to all levels of an organization
Be able to work with ambiguity, organize & create order

Responsibilities

Drive the end-to-end delivery of large-scale, cross-functional Machine Learning (ML) and Generative AI (GenAI) programs and features within Apple Media Products (AMP).
Lead the strategic planning, execution, and delivery of multiple concurrent ML/GenAI features, encompassing scope definition, requirements gathering, timeline management, and resource allocation.
Cultivate strong collaborative relationships with cross-functional partners (Design, Engineering, Data Science, QA, Legal, Finance, Privacy, Anti-Fraud, Business Operations) to define product roadmaps and manage the feature intake pipeline.
Spearhead initiatives to optimize feature development and execution processes within the Apple Media Products organization, driving continuous improvement.
Contribute to the overall ML/GenAI strategy for AMP, effectively communicating program status, risks, and mitigation plans to stakeholders at all levels.

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