Engineering Program Manager, Analytics & Data Engineering, Apple Services Engineering

Name: RiseMe
Availability: InStock

Seattle, WAOnsiteFull TimePosted 2 months agoVisa sponsorship available

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Required skills

data analytics
big data engineering
project plan
Information Systems

Nice to have

digital marketing
automation
privacy
product insights
big data technologies
event management

Role summary

Apple Services Engineering is seeking an experienced Engineering Program Manager (EPM) to lead complex, cross-functional data engineering projects within the marketing domain. The role involves partnering with engineers to build secure, end-to-end solutions, leveraging Apple's unique hardware, software, and services integration. The EPM will ensure a unified vision with a strong commitment to privacy and delivering key product insights. This is an opportunity to work in a small, agile, and cross-functional team with significant exposure to Apple's services, including Wallet, Apple Gift Card, Apple Card, Apple Pay Later, App Store, Apple TV, Apple Sports, Apple Music, Apple Fitness+, and Apple Podcasts.

The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power the Wallet, Apple Gift Card, Apple Card, Apple Pay Later, App Store, Apple TV, Apple Sports, Apple Music, Apple Fitness+, and Apple Podcasts! They do it on a massive scale, meeting Apple’s high expectations and high performance in more than 150 countries—Apple Services Engineering Program Managers partner with engineers who build secure, end-to-end solutions. Thanks to Apple’s unique hardware, software, and services integration, engineers and program managers are partners in achieving a unified vision. That vision always includes a deep commitment to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a more significant part of Apple’s business than ever, these teams remain small, agile, and cross-functional, offering more significant exposure to the array of opportunities here.

Description

We're looking an experienced Engineering Program Manager (EPM) with the ability to ship complex and often cross-functional data engineering projects in the marketing domain.

Minimum Qualifications

5+ years Technical project/program management experience or equivalent experience Understanding of both waterfall and agile project management methodologies Program management in data analytics, big data engineering, or software development Strong facilitation skills to drive complex, cross functional, and comprehensive project plan Exceptional verbal and written communication, including presentation skills to all levels of an organization Information Systems, Computer Science, or Engineering majors preferred or equivalent work experience

Preferred Qualifications

Ability to deliver high quality results while working in a dynamic and fast paced environment Experience with digital marketing technologies, automation, and analytics Passionate about protecting privacy while delivery key product insights Experience with big data technologies and tools for big data event management Leadership and gravitas to drive conversations with analytics stakeholders Aptitude and willingness to learn, and proactive attitude and energy

Sample Apple interview questions

1
Architect a big data ingestion system focusing entirely on reliability and backpressure management during unpredictable traffic events.
system designmedium
2
Break down the system design for a global digital learning environment including video hosting and user progress tracking.
system designmedium
3
How do you architect a risk system that dynamically shifts its strictness based on the merchants tolerance for fraud?
system designmedium
4
Break down the data pipeline required to serve live ad performance statistics to a client dashboard.
system designmedium
5
Let us build the backend for a smart parking garage. How do you manage inventory and process payments in real time?
system designmedium

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