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Engineering Program Manager, Data - Special Projects

Apple

Engineering Program Manager, Data - Special Projects

Apple

Cupertino, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

401(k) matching

Team events and activities

Generous paid time off and holidays

Flexible work arrangements

Flexible Hours

Required Skills

React

Node.js

TypeScript

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Apple

Engineering Program Manager, Data

  • Special Projects

3 weeks ago• Cupertino, CA
Viewed on February 1, 2026
Apply on company site

About Us

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

  • Size: 10000+ employees
  • Industry: Technology, Information Technology, Software, Consumer Goods & Services

View Company Profile:

Apple's Special Projects team is seeking an Engineering Program Manager (EPM) to drive critical data initiatives that power our next-generation AI and machine learning experiences. In this role, you'll manage complex data programs from ideation through execution, partnering with cross-functional teams to deliver high-quality datasets and infrastructure that enable breakthrough AI capabilities.

Description:

You will be the voice of your projects, building defensible plans, securing stakeholder buy-in, and ensuring successful delivery. This role requires strong program management fundamentals, technical acumen in data systems, and the ability to independently drive clarity from complexity while maintaining program momentum. You'll work at the intersection of design, engineering, and operations to transform data requirements into actionable programs that meet Apple's quality standards.

","responsibilities":"Lead high-complexity projects from ideation through definition, execution, and closure for data initiatives.

Translate technical requirements into well-defined, actionable project plans and deliverables.

Independently identify risks, proactively develop mitigation strategies, and drive conflict resolution.

Distill and communicate project status, risks, and recommendations to stakeholders at all levels.

Preferred Qualifications:

Bachelor's degree in Computer Science, Engineering, Data Science, or related field.

Hands-on experience with data-centric projects, from collection and annotation to model training and evaluation.

Experience driving process improvements in data-centric programs.

Minimum Qualifications:

5+ years of program/project experience managing complex, cross-functional technical programs.

Proven track record of independently identifying and mitigating risks in ambiguous, fast-paced environments.

Exceptional communication and presentation skills.

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 .

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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$114,215

total / year

Base

$45,686

Stock

$57,108

Bonus

$11,422

$79,951

$148,480

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit