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职位Apple

Engineering Program Manager, Analytics Data Engineering, Commerce Subscriptions

Apple

Engineering Program Manager, Analytics Data Engineering, Commerce Subscriptions

Apple

Cupertino, CA

·

On-site

·

Full-time

·

1w ago

Do you have a passion for harnessing vast amounts of data in innovative ways to make products better? The Apple Services Engineering's Analytics Data Engineering team is an exciting area involving Apple's long-held passion for combining analytical insight and customer privacy. We are the people who power the Wallet, Apple Gift Card, Apple Card, App Store, Apple TV, Apple Music, Apple Fitness+, and other major Apple software products - and we do it on a massive scale! Thanks to Apple's outstanding integration of hardware, software, and services, we collaborate on data across multiple areas yet with a deep dedication to strengthening Apple's commitment to user privacy. Although services are a bigger part of Apple's business than ever before, our teams remain small, nimble, and cross-functional, offering greater exposure to an array of ideas and opportunities.

Description

This Commerce Subscriptions Engineering Program Manager will operate in a multi-functional role within a fast-paced, data-focused environment. You'll collaborate with small, highly skilled data engineering teams and partner groups to develop large-scale data capabilities and solutions to support Apple Services Engineering feature initiatives and deliver high-quality datasets and analytical outcomes. In this role, you'll often juggle multiple complex projects at once, balancing shifting priorities while keeping teams aligned and moving forward. Because our work touches sensitive customer and business data, a deep respect for privacy and a commitment to Apple's industry-leading privacy standards are essential. Successful candidates should bring strong program and project management skills, exceptional communication abilities, and a belief in the power of data-driven results.","responsibilities":"Project manage and partner with other EPMs to coordinate the data engineering track for creating and enhancing data pipelines that support the Analytics Engineering space for Subscriptions within Apple's Commerce business area

Track multiple concurrent projects involving scope, requirements, timelines, roadmaps, project plans, resource allocation, stakeholder management, communications, engineering sprint coordination, and risk assessments

Collaborate with Engineering, Analytics, Production Support, QA, Information Security, Privacy, and other teams to build and manage products to support Apple Services Engineering data pipelines

Drive complex, cross-functional, and comprehensive project plans independently

Deliver high-quality results while working in a dynamic and fast-paced environment

Demonstrate exceptional verbal and written communication, including presentation skills to all levels of the organization

Preferred Qualifications

Degree in Information Systems, Data Science, Computer Science, Business or Engineering

Experience with hands-on SQL querying and Tableau dashboards is a plus

Proven success driving projects across engineering, data science, product, privacy and business teams

Minimum Qualifications

6+ years of project management experience, specifically within a large-scale data engineering or analytics environment

Familiarity with big data technologies and modern data engineering concepts

Experience with commerce, subscriptions, and/or customer lifecycle data ecosystems

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 .

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $305,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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关于Apple

Apple

Apple

Public

Apple Inc. is an American multinational technology company headquartered in Cupertino, California, in Silicon Valley, best known for its consumer electronics, software and online services.

10,001+

员工数

Cupertino

总部位置

$3.5T

企业估值

评价

3.9

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.8

职业发展

3.5

管理层

3.2

72%

推荐给朋友

优点

Great benefits and compensation

Talented colleagues and supportive teams

Learning opportunities and mentorship

缺点

Work-life balance challenges

High stress and pressure

Fast-paced environment

薪资范围

11,365个数据点

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0份报告

$114,215

年薪总额

基本工资

$45,686

股票

$57,108

奖金

$11,422

$79,951

$148,480

面试经验

3次面试

难度

3.3

/ 5

时长

28-42周

录用率

33%

体验

正面 33%

中性 0%

负面 67%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience