Software Quality Engineering Manager, Instructional Products

Every year Apple releases thousands of new features across its operating systems yet the average user may only ever discover a small fraction of them. The Instructional Products team exists to close that gap. We help users find the features that matter most to them and make the most of do this in a few ways. The Tips app and other contextual experiences surface the right guidance throughout the OS exactly when a user needs it. Siri answers users questions about how a feature works how to accomplish a goal or how to fix an issue. And our troubleshooting and learning flows help users solve problems and do more with their Apple short we help teams across Apple get their features discovered and get those features delivering real value to looking for a Quality Engineering Manager to reinvent QA for the AI era. Your job is to give a complex engineering org the foundation to move faster than ever without sacrificing quality. Youre AI-driven and data-driven and youve built quality processes and best practices that stick across multiple products and focus will be the client apps owning quality for the software features we ship in the OS. That work interfaces closely with the cloud-based system behind all of it: the platform that develops manages and delivers our contextual help and guides.

You will own quality strategy for our client apps from concept through release. Rather than gatekeeping at the end of the pipeline youll build quality in from the start defining the test strategy and release-readiness bar for the features we ship across macOS iOS watchOS tvOS and to day youll pair AI-driven QA and automated test infrastructure with the human oversight that catches what matters and use data to keep partners and leadership clear on where quality stands. Youll lead through working systems and evidence rather than mandates mentoring a team of engineers so that high standards become how the whole org ships not an afterthought.

Own quality strategy throughout the product lifecycle (concept release) producing a clear and concise picture of product quality for every and execute AI-driven QA plans and verification processes combining automated validation with human oversight to catch what matters before it and own the automated test infrastructure: CI/CD test gates regression suites and end-to-end coverage across unit integration and performance and own the orgs test strategy and the release-readiness criteria for high-risk failure analysis and root-cause investigations ensuring timely resolution and risk data-driven approaches to assess risk make informed decisions and communicate quality status to collaborators and cross-functionally with engineering and other teams to resolve issues and improve product gaps in requirements or testing processes and generate solutions for continuous and mentor a team of engineers in quality thinking and embed best practices so that high standards are how every team ships not a gate they pass through at the end.

8 years of professional work experience in software QA including 4 years managing or leading quality engineering teams providing guidance direction and technical -on engineering ability you can build test tooling and review systems-level understanding of the SDLC specifically CI/CD and automated QA processes in an agile development ability to scope schedule and resource multiple complex projects in collaboration with knowledge of client/server architectures including those using RESTful communication skills (oral written and interpersonal) including the ability to communicate technical concepts to a non-technical degree in Computer Science or equivalent experience.

Masters degree in Computer Science or a related creating and putting into practice quality processes and best practices across multiple products and teams building the foundation of quality for an with AI-powered development and testing tools to accelerate quality workflows and expand test with automated test frameworks Continuous Integration systems XCTest and with Apple hardware and cross-functional influencer comfortable in a fast-paced environment with frequent context persistent inquisitive problem solver self-motivated proactive and committed to driving quality forward.