User Experience Quality Engineering Manager

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
—
Salary
$183,700–$319,800 / yr
Posted
39 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $252k
$130k most similar roles pay here $340k

This role pays more than 81% of similar roles. Most pay $168,043–$240,150 — the shaded band above. At the midpoint, this role pays about $252k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3553 open roles on FindRole.

Listed pay typically runs $165,800–$277,600 across 2740 roles with salary data.

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At a glance

TL;DR · User Experience Quality Engineering Manager

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The User Experience - Quality Engineering Manager joins the System-Wide Quality organization to lead the User Experience Quality team, a specialized black-box testing group. This role involves managing and developing a team of quality engineers while spearheading a multi-year transformation of the department's methodology. The manager will transition the team from periodic manual test passes into a comprehensive quality product that integrates continuous AI-driven automation, focused manual testing, and cross-functional data insights to influence executive decisions on product readiness. Key responsibilities include building cross-functional relationships and evangelizing user experience testing. Required skills include proficiency with iOS, macOS, tvOS, visionOS, and watchOS operating systems. Preferred qualifications include experience with Python scripting for automation and data analysis, as well as utilizing Generative AI to optimize testing products and performing both objective and subjective analysis techniques.

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