Job Details

Weekly Hours: 40

Role Number: 200618103-0836

Summary

Apple Media Products (AMP) is an exciting environment and dynamic development organization. With customers in 175 countries, we are a fast-growing marketplace for music, movies, TV shows, books - and, of course, apps.

Successful ASE AI/ML Engineering Program Managers are responsible for shipping Machine Learning (ML) and Generative AI (GenAI) features. We're looking for people with the ability to ship complex, customer-facing products under demanding timelines. This is a hands-on position where Program Managers are 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 program 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 and judgement; 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; you're persistent; and you ship products which millions of customers will use.

Description

Drive the end-to-end delivery of large-scale ML/GenAI programs and features within Apple Media Products (AMP).
Lead the 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 multi-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.

Minimum Qualifications

• Proven experience in technical product management within the ML/GenAI software development domain.

• 5+ years of program management experience, demonstrating a comprehensive understanding of the software development lifecycle from inception to launch.

• Best-in-class communication and presentation skills, both written and verbal.

Preferred Qualifications

• Exceptional critical thinking, problem-solving, and analytical skills, with the ability to structure complex issues and develop actionable solutions in the GenAI space.

• Ability to synthesize incomplete, conflicting, or ambiguous information into clear, well-defined action plans for ML/GenAI initiatives.

• Exceptional facilitation skills, adept at leading requirements sessions, design meetings, and progress/status updates for ML/GenAI projects.

• Strong technical proficiency, with program experience in Search and/or Recommendations systems

• Experience working with online commerce and payment systems with a focus on customer and sales data

• Experience with Human evaluation and A/B testing methodologies and their application to ML/GenAI product optimization.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).

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .