Quality Assurance Engineering Manager

Quality Assurance Engineering Manager

6 days ago Requisition

Salary Range: $ To $ Annually

Job Objective

The QA Manager is responsible for leading and advancing quality assurance software engineering practices across a diverse portfolio of desktop and SaaS products. This position is accountable for establishing and executing a modern quality strategy focused on automation, scalable test frameworks, AI-assisted quality practices, and standardized processes across the organization.

This role operates at both a strategic and operational level, providing leadership in team development, quality governance, release confidence, and continuous improvement initiatives. The Engineering QA Manager partners closely with Engineering, Product Management, Dev Ops, Platform/IT, and Support teams to implement consistent testing methodologies, improve product quality, and optimize delivery processes.

The position requires strong people leadership combined with technical expertise in test automation, desktop and web application testing, CI/CD integration, and emerging AI technologies that enhance test design, defect detection, issue triage, and overall engineering productivity.

Essential Functions

• QA leadership and team management:
  • Establish clear team structure, role clarity, career growth and performance expectation among QA engineering staff.
  • Balance resource allocation across multiple projects and product offerings aligning with strategic priorities, defined roadmap and release schedules.
  • Work with other engineering leaders in building strong culture of quality ownership, accountability, continuous improvement and collaboration.
  • Mentor team members in modern QA engineering practices, automation and quality metrics.
  • Manage contractor contributions to ensure consistency in quality, output, standards and integration across all teams.
• Define and execute a unified QA strategy across the organization.
• Establish and standardize scalable, repeatable QA processes across teams and products.
• Lead development and scaling of sustainable test automation strategy across the entire products portfolio identifying opportunities to increase ROI by prioritizing high-value, high-repeatability scenarios and reducing low-value test efforts.
• Be a key driver in defining standards for automated test architecture, code quality, maintainability and reporting.
• Partner with development teams to ensure automation is integrated into CI/CD practices.
• Advocate for customers by presenting their perspective in developer-level design and implementation discussions.
• Track and improve key quality indicators such as automation coverage, reliability, defect escape trends and false-failure rates.
• Evaluate and introduce practical uses of AI to improve QA efficiency and product quality.
• Refine existing, establish new and institutionalize best practices, policies and quality gates/metrics across all teams creating standard operating models for test planning, test case design/documentation, defect lifecycle management, release readiness assessment and UAT support.

Required Skills

• 15+ years of experience in Quality Assurance / Quality Software Engineering including at least 5+ years of experience leading teams.
• Experience managing teams that support both SaaS and desktop solutions.
• Strong knowledge of modern QA practices including functional, regression, API, UI automation, end-to-end release testing.
• Good written and verbal communication skills.
• Practical experience in integrating test practices into CI/CD processes.
• Strong understanding of SDLC agile delivery models and release management.
• Ability to create and standardize QA processes cross-teams and cross-departments.
• Technology background to understand complex multi-server and/or container SaaS solutions with ability to navigate across them for the purpose of validating expected outcomes.
• Experience with test case management as well as issue tracking tools.
• Capable of coordinating security-oriented testing in partnership with security and engineering teams.
• The following are considered a plus:
  • AI-assisted QA practices
  • Git or similar source code repository experience
  • Experience managing quality for multi-tenant public cloud…