Software Quality Analyst (Coordinator of Confidence)

Software Quality Analyst

Do you have an uncanny ability to spot the thing everyone else missed? Do you naturally think through edge cases, customer workflows, hidden assumptions, and "what happens if…" scenarios? Do you like helping teams ship with confidence instead of crossing their fingers and hoping for the best?

Do you already use AI-enabled tools every day to move faster, think sharper, summarize complexity, improve documentation, generate better test ideas, and make repetitive work more efficient? Not because AI is trendy, but because it helps you do better quality work?

If so, keep reading.

RTA is looking for a Software Quality Analyst. This role helps ensure our software is reliable, usable, and ready for the fleet teams who depend on it every day. You will work closely with Product, Engineering, Support, Implementation, and Customer Success to understand requirements, identify risks, validate customer workflows, document defects clearly, and help the team make better release decisions.

This role is not limited to "manual testing," and it is not narrowly defined as a "test automation engineer" role either. We are looking for someone who ensures quality, no matter the means. Sometimes that means exploratory testing. Sometimes it means structured regression testing. Sometimes it means data validation, requirements analysis, automation, AI-enabled test planning, better documentation, or simply asking the question nobody else thought to ask.

You are not just checking boxes. You are helping the team know whether we are truly ready to ship.

We do not do silos. Quality is a team responsibility, but this role is one of the people most responsible for helping us see risk clearly before our customers feel it. You will be right in the middle of product conversations, engineering discussions, release planning, defect triage, and customer workflow validation.

A note up front: we care more about aptitude than checked boxes. If you do not hit every single item below but you have the wiring to learn fast, think critically, communicate clearly, and use AI-enabled tools as part of your everyday work, apply anyway. The learning curve here is real, but so is the opportunity to make an impact.

What We're Looking For

In general, someone who:

• Feels at home being a member of a healthy team. This means they are not afraid to mix it up, be held accountable by the team, and hold others accountable as well.
• Passionately cares about our clients and helping them be more successful. Our clients are fleet managers, parts clerks, automotive technicians, and operations leaders who maintain everything from squad cars to school buses so that everyone comes home safely at the end of the day.
• Thinks of themselves less, while not thinking less of themselves. They are other-centric, compassionate, and self-assured.
• Is willing to lift boxes, clean floors, and hold doors if that is what it takes to get something done, because no job is beneath them.
• Takes ownership and initiative. They do not wait to be told what to do. They own their role and how to make it better.
• Loves to read, learn, grow, and stretch themselves.
• Is AI tooling-first. They use modern AI-enabled tools as part of their normal workflow and have strong opinions about where those tools help, where they fall short, and how to use them responsibly. We will ask.

Specifically for this job, someone who:

• Has a knack for finding product risk before customers do — whether through exploratory testing, structured test cases, regression testing, data validation, automation, AI-enabled analysis, or simply asking better questions than everyone else.
• Understands that quality is not just about finding bugs. It is about helping the team make better product, engineering, and release decisions.
• Tests real customer workflows, not just isolated screens or happy paths.
• Can understand requirements, identify gaps or ambiguity, and push for clarity before development is too far down the road.
• Collaborates closely with Product Managers, Engineers, Support, Implementation, and other stakeholders to understand what we are building and where the risks are.
• Documents defects clearly, with steps to reproduce, expected behavior, actual behavior, supporting evidence, impact, and severity.
• Uses AI-enabled tools to accelerate test planning, generate edge cases, summarize requirements, review acceptance criteria, analyze tickets, improve documentation, and make quality work more repeatable.
• Is comfortable with test management, issue tracking, and documentation tools such as Jira, Confluence, and similar systems.
• Has experience with, or interest in, automation tools such as Katalon, Playwright, or similar frameworks.
• Knows when automation is helpful, when exploratory testing is better, and when the best quality improvement is actually clearer requirements or better communication.
• Adjusts on the fly to changing priorities, newly discovered bugs, shifting release timelines, or late-breaking product decisions with tact and poise.
• Communicates issues effectively with concise, solutions-oriented feedback.
• Stays resourceful under pressure, keeps a level head, and handles confidential product information with discretion.
• Meets deadlines in a fast-paced environment while maintaining a high level of care for customers, teammates, and product quality.

Key Results Areas

• Product risks are identified early, clearly communicated, and addressed before they impact customers.
• Requirements and acceptance criteria improve because quality thinking is brought into the process early.
• Customer workflows are validated thoughtfully, not just clicked through mechanically.
• Defects are documented clearly enough that Product and Engineering can understand, prioritize, reproduce, and resolve them.
• Releases ship with greater confidence because testing is risk-based, organized, and aligned with customer impact.
• Regression coverage improves over time through better test cases, better documentation, smarter automation, and stronger quality processes.
• AI-enabled tools are used consistently to improve test planning, documentation, analysis, and team productivity.
• Product, Engineering, Support, and Customer Success have a trusted quality partner who brings clarity, urgency, and thoughtful feedback.

Responsibilities

• Plan and Execute Quality Strategies
• You will help determine what needs to be tested, how deeply it needs to be tested, and what risks matter most. That may include exploratory testing, structured test cases, regression testing, release validation, data validation, automation-assisted testing, or workflow-based scenario testing.
• Validate Real Customer Workflows
• You will think through how fleet maintenance users actually work: creating and managing work orders, maintaining assets, managing parts, processing inspections, reviewing reports, updating records, and depending on the system to be accurate.
• Collaborate Across Teams
• You will work closely with Product, Engineering, Support, Implementation, and Customer Success to clarify requirements, identify risk areas, validate expected behavior, and provide timely feedback.
• Document Defects and Findings Clearly
• You will log defects with clear reproduction steps, expected versus actual results, screenshots or recordings when useful, customer impact, severity, and supporting context.
• Improve Requirements and Acceptance Criteria
• You will help spot ambiguity, missing edge cases, workflow gaps, and assumptions before they become production issues.
• Contribute to Automation and Repeatability
• You do not need to be a pure automation engineer, but you should be comfortable with the idea that repeatable quality work should become more efficient over time. You may work with tools such as Katalon, Playwright, or similar systems to support automated or semi-automated validation where it makes sense.
• Use AI-Enabled Tools Thoughtfully
• You will use AI-enabled tools to move faster and think better: generating test ideas, summarizing requirements, identifying edge cases, drafting test scenarios, reviewing bug histories, improving documentation, and creating repeatable workflows.
• Champion the Customer Experience
• You will keep the end user in mind in every test scenario, anticipating issues that could slow down, confuse, or disrupt the people who rely on our software to do essential work.
• Contribute to Continuous Improvement
• You will proactively suggest improvements to how we write requirements, test features, document workflows, validate releases, use automation, and apply AI-enabled tools to quality work.

Qualifications

OK, the boring HR part of the job posting that looks like every other posting out there, but it is