QA Analyst

About the role

At Prompt, we are leading the charge in transforming healthcare with innovative B2B enterprise software solutions tailored for rehab therapy businesses. Our mission is to improve patient outcomes and streamline workflows for rehab therapy teams by harnessing the power of advanced technology. As a QA Analyst at Prompt, you will be instrumental in ensuring the quality, consistency, and reliability of our software solutions.

Key Responsibilities

• Manual Testing: Perform functional, regression, smoke, and acceptance testing on new and existing features.
• Bug Reporting: Identify, document, and communicate defects to the development team, ensuring timely resolution.
• AI Testing: Test AI-enabled product features for accuracy, reliability, usability, edge cases, and unintended behaviors.
• Leveraging AI and Agentic Tools: Use AI-assisted workflows to improve test planning, test case generation, exploratory testing, documentation, and overall QA efficiency.
• Collaboration: Work closely with cross-functional teams including product, development, and design to review project requirements, provide input during the testing phase, and ensure alignment on quality expectations.
• Documentation: Maintain accurate records of test plans, test cases, and results. Ensure clear and consistent documentation for stakeholders.
• Prioritization and Risk Communication: Plan and manage daily QA work across multiple priorities, focus testing efforts on the highest-risk and highest-impact areas, and proactively communicate status, blockers, risks, and tradeoffs to stakeholders.
• Continuous Improvement: Contribute insights to enhance testing processes, documentation standards, and workflows. Advocate for quality in every stage of the software development lifecycle.
• Ownership and Execution: Take initiative, follow through on commitments, meet expected business results, and consistently look for ways to raise the standard of quality across the product and team.
• Dependability and Follow-Through: Takes personal responsibility for the quality and timeliness of work, manages day-to-day priorities effectively, and consistently delivers expected results with limited oversight.
• Prioritization and Organization: Able to manage multiple testing priorities, sequence work based on risk and business impact, adapt quickly when priorities shift, and clearly communicate tradeoffs or risks.

Required Skills and Qualifications

• Experience: 1 - 3 years of experience in a QA Analyst or similar role, preferably working with healthcare-related software, particularly in rehab therapy or similar domains.
• Manual Testing: Solid experience with manual testing techniques such as functional, regression, smoke, and acceptance testing.
• AI Testing and Tooling: Experience testing AI-enabled features or a strong demonstrated interest in learning how to evaluate AI outputs, identify edge cases, and use AI or agentic tools to improve QA workflows.
• Test Documentation: Strong documentation skills for writing test cases, test plans, and bug reports.
• Attention to Detail: Exceptional ability to identify issues and inconsistencies in software and provide actionable feedback.
• Communication: Excellent written and verbal communication skills, with the ability to collaborate across teams.
• Problem-Solving: Strong analytical skills with a focus on troubleshooting and resolving issues.
• Team Player: Ability to work in a collaborative environment and adapt to shifting priorities.
• High-Performance Mindset: Ability to consistently deliver high-quality work with strong follow-through, urgency, and ownership.
• Proactive Communications: Ability to communicate progress, escalate risks early, and take initiative to improve outcomes when timelines, quality, or expected results may be at risk.

Preferred Qualifications

• Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent work experience is a plus.
• Automation: Basic knowledge of automation testing tools (e.g., Selenium, Playwright).
• Technical Knowledge: Familiarity with web technologies, APIs, and database testing (including proficiency with SQL).
• AI Familiarity: Familiarity with AI agents, prompt-based workflows, or other AI-assisted productivity tools.
• Healthcare Software Experience: Experience working with healthcare, rehab therapy, or other regulated software environments.