Manager, Quality Assurance

RTA Fleet • Remote, AZ

30d • $140,000 - $160,000 • Remote

About The Position

We are looking for a Manager, Quality Assurance who can fundamentally rethink how software quality should work in an AI-enabled engineering organization. You’ll be responsible for taking our QA organization to the next level and then continuing to raise the bar after you get there. This means challenging old assumptions about manual testing, regression testing, test case creation, defect triage, release validation, automation maintenance, quality gates, and even the traditional role of QA itself. We believe AI creates an opportunity to dramatically improve how software quality is achieved, not by replacing good people or good judgment, but by giving exceptional people far more leverage. You’ll own RTA’s quality standards and QA processes and be accountable for the quality of our software as measured by clearly defined KPIs. Quality is a shared responsibility across Engineering, and you’ll help build the systems, standards, and practices that make that ownership possible.

Requirements

• 5+ years of software quality assurance or quality engineering experience, preferably within a SaaS organization.
• 2+ years leading or managing QA or quality engineering professionals.
• A demonstrated track record of materially improving QA processes, teams, automation, or quality outcomes.
• Strong experience designing and implementing modern software testing strategies.
• Experience building, managing, or significantly improving automated testing programs.
• Experience with tools such as Playwright, Katalon, Cypress, Selenium, or similar frameworks.
• Strong understanding of API testing and modern web application architectures.
• Strong understanding of how QA fits throughout the software development lifecycle.
• Experience defining and using quality metrics to identify trends and drive improvement.
• Strong analytical, troubleshooting, and root-cause analysis skills.
• The ability to challenge existing practices, drive organizational change, and bring people along with you.
• Ability to sit or stand for extended periods.
• Ability to work at a computer for prolonged periods.
• Ability to communicate effectively through video, phone, messaging, and other collaboration tools.

Nice To Haves

• Hands-on experience using AI tools to improve software quality or engineering workflows is strongly preferred.

Responsibilities

• Reinvent QA, not preserve it.
• Make quality measurable using meaningful metrics such as escaped defects, repeat defects, defect origin, severity, automation effectiveness, regression cycle time, and time-to-detection.
• Leverage AI to improve test design, code analysis, exploratory testing, defect investigation, automation, risk identification, and release confidence.
• Use AI as leverage, not a substitute for judgment, ensuring experienced human judgment remains critical and the team validates outputs and remains accountable for quality.
• Influence requirements, architecture, development, observability, deployment, and production behavior.
• Improve tooling, automation, feedback loops, and engineering practices to make quality scalable, rather than adding more testers or manual steps.
• Continuously strive for improvement and define what "great" looks like next.
• Experiment aggressively with new AI tools, workflows, agents, testing approaches, and automation techniques.
• Build and develop a high-performing QA team by setting clear expectations, coaching, developing people, holding the team accountable for results, and helping them grow.
• Use data to challenge assumptions and gather evidence of quality improvement.
• Be comfortable disrupting your own process if a better approach exists.
• Take ownership and help define the future of quality engineering at RTA.
• Ensure customers stop finding defects by moving quality upstream into requirements, design, development, and code review.
• Treat the escape rate as your own responsibility.
• Automate repetitive tasks, stopping manual regression as the primary method of validating software.
• Ensure defects stop recurring by building a learning loop that changes structural elements (process, gates, patterns, design decisions) with every escape.
• Diagnose where the current QA model limits quality or speed and implement meaningful AI- or automation-driven improvements.

Benefits

• 401(k) with 6% Safe Harbor match (100% vested day one)
• Flexible PTO model built on trust and manager-approved time off
• Cigna PPO and HSA medical plan options with company contributions ($780–$1,950 annually)
• Garner Health HRA program: up to $1,000 individual / $2,000 family reimbursement opportunity
• Wellness rewards up to $350 annually
• Virtual care and mental health support resources
• Company-sponsored benefits including dental, vision, EAP, life, STD, LTD, legal plan, and identity theft protection options
• Additional employee perks, wellness initiatives, and discount programs

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed