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Privacy Instrumentation Engineering Manager
AppleUnited Statesfull_timeVerifiedPosted 21 Mar 2025
💰 $329,600/yr($190,700/yr – $329,600/yr)
About the role
Summary
Posted: Mar 21, 2025Weekly Hours: 40
Role Number:200596039
The Apple Services Engineering (ASE) 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 App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple’s outstanding integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep dedication to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, forward-thinking, and multi-functional, offering greater exposure to the array of opportunities here. The ASE Analytics & Data Engineering organization powers the analytics behind the App Store, Apple TV, Apple Music, Apple Podcasts, Apple Fitness+, Apple Books, Apple Wallet, iCloud, and more. These analytics are used to improve user experience, power features like Search and Recommendations, pay royalties, and improve Apple’s business, all while maintaining utmost user privacy. We’re looking for an engineer to join the team working on defining the future of our privacy-first instrumentation capabilities. You will work with a number of multi-functional collaborators to answer two main questions: What data should we collect for our products and services and how will we get that data from client devices while preserving privacy?
Description
You’ll be tasked with designing, launching, and supporting new data infrastructure products as necessary to answer high-level analytics questions at scale. Your responsibilities will include all aspects of software development management, from brainstorming, design and analysis to development, implementation and maintenance. You will also be encouraged to build and maintain instrumentation specifications—documents that specify what fields and values are collected and when—for all new features released across ASE products and services. To accomplish all this, you’ll collaborate with a wide range of collaborators including product managers, client and server engineering, data scientists/business analysts, privacy engineers and attorneys, QA, and more. YOU WILL: - Design and implement innovative Privacy-preserving systems to be used across ASE products and services - Develop frameworks and tools to collect analytics data from our products and services on all platforms, including iOS, iPadOS, macOS, tvOS, watchOS, visionOS, web browsers, and third party platforms. - Build detailed client instrumentation specifications for new features across Apple’s services that provide clear mentorship to engineering, data science, and QA collaborators about what data should be collected and when - Own the end-to-end design, launch, and support of new data infrastructure as needed to address sophisticated analytics needs, including technical system design and implementation - Advise business and engineering collaborators by serving as a data collection subject-matter-expert who understands how analytics-related asks will impact numerous server and client engineering systems
Minimum Qualifications
- Ability to assist in the creation and enforcement of privacy and compliance policies and guidelines across ASE and Apple
- 5+ years of experience working as a software engineer, technical product manager, or engineering-focused management consultant
- Strong software design skills, coupled with a deep knowledge of data structures and algorithms
- Experience working with large, multi-functional teams spread across multiple locations
- Comfort with translating ambiguous high-level analytics questions into concrete engineering asks Clear and concise communication
- Strong prioritization skills with the ability to manage multiple programs simultaneously with overlapping deadlines
- 5+ years of professional experience with some or all o
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