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AIML - Sr Engineering Program Manager, Apple Intelligence

Yesterday Cupertino, CA

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.

AIML PM org is looking for a Senior Engineering Program Manager with a strong track record of leading complex cross-functional programs. As the senior EPM, you need to have extensive experience in working with cross functional partners to develop software, machine learning models and features. You will also need to have extensive experience to drive consensus via data driven approach among cross functional organizations. You will work with top tier data scientists, engineers and product teams across Apple to help ensure we deliver high quality GenAI powered experiences that over 1 billion customers expect and love.

Description

In this role, responsibilities include but not limited to:","responsibilities":"Create and manage project schedules with clear dependencies, critical path and systematic methodology to communicate status. Manage risks and mitigations, and re-plan as events warrant.

Drive alignment across the organization and between teams to launch and maintain premier Apple software products.

Work with data science, data engineering and research teams to develop data collection and evaluation solutions

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Work with privacy, and legal teams to ensure product development delivers delightful user experience and privacy protection.

Work with cross region engineering teams to align priority and drive clarity.

Provide regular program update to leadership.

Preferred Qualifications

Master's or PhD degree in Statistics, Business Intelligence, Computer Science, other Quantitative Sciences, or related field and equivalent experience

5+ years of experience managing a program management team in AI powered product space, preferably experience in evaluation of MLAI products

Self-sufficient in analyzing and drawing conclusions about the quality and product opportunity from raw and refined product data

Strong problem-solving skills with attention to details

Minimum Qualifications

8+ years of experience in driving large scale program building machine learning powered products

Excellent program management skills including program structuring and managing multiple work streams interdependently

Have personally orchestrated the delivery of multiple significant client/server software products requiring large organizations (100+)

Strong analytical skills and a curiosity to peel the onion to discover opportunities for impact and better user experience

Capability to work across a large number of teams to enforce process and efficient outcomes in a data-driven environment

Strong verbal and written communication skills, including negotiation, presentation and influence

BS/MS in EE/CS/CE or equivalent

Bilingual, fluent in both Chinese and English

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 .

Client-provided location(s): Cupertino, CA
Job ID: apple-200637627-0836_rxr-659
Employment Type: OTHER
Posted: 2025-12-23T19:12:25

Perks and Benefits

  • Health and Wellness

    • Parental Benefits

      • Work Flexibility

        • Office Life and Perks

          • Vacation and Time Off

            • Financial and Retirement

              • Professional Development

                • Diversity and Inclusion

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