The Apple Services Engineering (ASE) team is looking to define the future of privacy-first instrumentation capabilities for their analytics infrastructure, which powers services like the App Store, Apple TV, Apple Music, and more. The goal is to determine what data to collect and how to collect it while preserving user privacy.
Requirements
- 5+ years of professional experience with some or all of the following: data or analytics systems, frameworks or toolkits, Swift, Objective-C, JavaScript, C/C++, Java, TypeScript, React, Angular, Ember, Vue
- Strong software design skills, coupled with a deep knowledge of data structures and algorithms
- Proven experience in Privacy-Enhancing Technologies for large-scale distributed systems
- Experience with differential privacy, private data-synchronization across systems and devices, data minimization, tokenization, cryptography
- Ability to assist in the creation and enforcement of privacy and compliance policies and guidelines across ASE and Apple
Responsibilities
- Design and implement innovative Privacy-preserving systems to be used across ASE products and services
- Design and 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.
- Own the end-to-end product lifecycle for client instrumentation capabilities, creating detailed specifications that provide clear guidance to engineering, data science, and QA stakeholders
- Manage 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 team members by serving as a data collection subject-matter-expert who understands how analytics-related asks will impact numerous server and client engineering systems
- Lead discussions with privacy and legal teams to ensure that both Apple’s analytics needs are met and consumer privacy is protected
- Designing, launching, and supporting new data infrastructure products as vital to answer high-level analytics questions at scale.
Other
- 5+ years of experience working as a software engineer, technical product manager, or engineering-focused management consultant
- 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 balance multiple programs simultaneously with overlapping deadlines
