Senior QA Analyst

• Drive quality initiatives across AI-driven workflows
• Design and execute comprehensive test strategies covering end-to-end workflows, integrations, and event-driven systems
• Ensure accuracy and reliability of AI-generated conversations, call summaries, and data capture across varied scenarios
• Contribute to and maintain QA documentation, standards, and the organizational knowledge base
• Partner with Product and Engineering to influence requirements, design decisions, and release readiness
• Drive continuous improvement by identifying gaps in processes, tooling, and test coverage
• Investigate technical problems and write clear, detailed, and repeatable defect reports
• Conduct exploratory testing to evaluate product robustness and functionality
• Work with QA engineers to increase automation coverage based on business priorities and risks
• Mentor QA team members
• Demonstrate attention to detail and organization in all aspects of work

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
• 7+ years of experience in software quality assurance, including ownership of complex feature areas
• Experience developing and executing test strategies for end to end workflows
• Exposure to AI driven systems, conversational interfaces, or data driven automation preferred
• Ability to quickly learn new products, technologies, and business domains
• Experience validating AI or ML assisted features, including non deterministic outputs and regression risks
• Advanced expertise in manual testing methodologies and test case design for complex systems
• Strong experience testing APIs, webhooks, and third party integrations
• Experience testing event driven architectures and downstream data delivery
  
  Familiarity with compliance driven workflows, auditability, and data traceability
• Strong analytical and problem solving skills with attention to detail
• Excellent written and verbal communication skills, including clear defect documentation
• Ability to influence development teams and advocate effectively for quality initiatives

Demonstrates advanced expertise in software quality assurance with a focus on AI-driven systems, including the development and execution of comprehensive test strategies. Strong analytical skills and attention to detail are essential for validating AI features and ensuring product robustness.

• Software Quality Assurance
• Test Strategy Development
• AI-Driven Systems Validation
• API Testing
• Manual Testing Methodologies

• Test Case Design
• End-to-End Workflow Testing
• Exploratory Testing
• Defect Reporting
• Automation Coverage
• Event Driven Architecture Testing
• Data Traceability
• Regression Risk Validation
• Third Party Integration Testing
• Compliance Driven Workflows

• Attention to Detail
• Analytical Problem Solving
• Effective Communication
• Mentoring

• Bachelor’s Degree in Computer Science

• AI-Driven Workflows
• Conversational Interfaces
• Data Driven Automation
• Quality Initiatives
• Continuous Improvement