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QA Manager at AxisCare Home Care Software | JobVerse
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QA Manager
AxisCare Home Care Software
Remote
Website
LinkedIn
QA Manager
Texas, United States of America
Full Time
4 hours ago
No Visa Sponsorship
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Key skills
AI
Agile
CI/CD
Leadership
Team Leadership
Communication
About this role
Role Overview
The QA Manager leads an assigned portion of the QA team within AxisCare's embedded engineering model.
Direct manager for an assigned group of QA engineers and analysts embedded across teams.
Owns hiring, onboarding, performance reviews, and career development for direct reports.
Holds regular one-on-ones and provides ongoing coaching and feedback.
Creates clear growth plans and supports development conversations for each direct report.
Applies and reinforces QA standards, testing methodologies, and quality benchmarks established at the Director level across assigned teams.
Ensures consistency in tooling, test coverage expectations, and best practices within their group.
Monitors quality metrics and reporting for direct reports, surfacing trends and improvement opportunities to the Director of QA.
Manages bug tracking and resolution processes within assigned teams.
Supports capacity planning within their group and advocates for sustainable workloads.
Partners with Engineering Managers and Product leaders at the team level on quality strategy, risk, and release readiness.
Requirements
Experience in software quality assurance with a background in people management or team leadership
Mid to senior-level management experience leading QA professionals and managing quality outcomes within a technology organization
Proven experience leading and developing QA professionals
Strong coaching, feedback, and performance management skills
Solid understanding of modern QA practices including automation, CI/CD, and agile development
Experience in an embedded QA model or similar distributed team structure
Ability to collaborate and align with cross-functional teams at the team and engineering manager level
Strong analytical and problem-solving skills with the ability to translate quality data into clear recommendations
Strong communication skills across technical and non-technical audiences
Familiarity with AI-assisted testing tools and the ability to champion their adoption
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field preferred
Equivalent professional experience will be considered in lieu of a degree.
Benefits
NA
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