Drimva

Apple

Software Quality Engineering Manager, Instructional Products

$184K–$320K

Cupertino, California · Manager · Full-time · Posted Jul 29, 2026

Experience
8+ years of professional work experience in software QA, including 4+ years managing or leading quality engineering teams.
Education
Bachelor's degree in Computer Science or equivalent experience.

About the job

Leads quality engineering for Apple’s instructional client apps, setting quality strategy and building AI-driven, automated QA practices from concept through release.

What you'll do

  • Own quality strategy, test plans, and release-readiness criteria for client app features across Apple operating systems.
  • Build and maintain automated test infrastructure, including CI/CD gates, regression suites, and end-to-end testing; investigate failures and risks.
  • Use quality data to communicate status, partner across teams, and mentor engineers in organization-wide quality practices.

What they ask for

  • 8+ years of professional software QA experience, including 4+ years managing or leading quality engineering teams.
  • Hands-on engineering ability to build test tooling and review systems-level code; thorough SDLC knowledge, specifically CI/CD and automated QA in an agile environment.
  • Demonstrated ability to scope, schedule, and resource multiple complex projects; working knowledge of client/server architectures, including RESTful APIs.
  • Bachelor's degree in Computer Science or equivalent experience; strong communication skills.

Nice to have

  • Master's degree in Computer Science or a related field.
  • Experience with AI-powered development and testing tools, automated test frameworks, Continuous Integration systems, XCTest, or XCUITest.

Pay

USD $183,700 to $319,800 base salary

Tools

CI/CD, RESTful APIs, XCTest, XCUITest, macOS, iOS, watchOS, tvOS

AI focus

Define and execute AI-driven QA plans and verification; use AI-powered development and testing tools to accelerate quality workflows and expand test coverage, combining automated validation with human oversight.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)