[Hiring] QA Manager, Validation & Test Strategy @Filevine
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
We are seeking an experienced Quality Assurance Manager to lead the next generation of human-centered, AI-augmented testing within our organization. This role provides leadership and oversight for an established team of QA Analysts, elevating traditional validation practices into a modern, AI-assisted quality function. This role is focused on strengthening execution discipline, improving risk-based validation practices, and increasing release confidence across the product portfolio.
• Provide day-to-day leadership, oversight, and performance management for a team of QA Analysts
• Define and implement a strategy for AI-assisted manual testing that enhances exploratory depth, risk discovery, and test design efficiency
• Enable QA Analysts to leverage AI tools for test case ideation, scenario expansion, regression gap analysis, and defect clarity, while maintaining human accountability for validation decisions
• Set clear priorities, ensure accountability, and maintain consistent execution standards across projects
• Lead risk-based test planning to ensure critical workflows and customer-impacting functionality are thoroughly validated
• Oversee release readiness activities, including test strategy alignment, defect triage, and quality sign-off
• Represent QA in cross-functional planning, refinement, and product discussions
• Partner with SDET and Engineering leaders to identify automation opportunities and improve overall test strategy
• Analyze defect trends and quality metrics to drive measurable process improvements
• Champion the customer experience by advocating for usability, reliability, and product integrity
Qualifications
• 8 to 10+ years of experience in software quality assurance
• 5+ years of managing distributed or remote quality teams
• Demonstrated leadership experience managing QA Analysts or test teams
• Experience refining test strategies and identifying opportunities for process and automation alignment
• Proven ability to collaborate effectively with cross-functional teams in a fast-paced environment
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• 1 to 3 years of professional experience leveraging AI-assisted tools for test case development and or test execution
Requirements
• Familiarity with AI-assisted testing tools and approaches that enhance test design, coverage analysis, and validation efficiency
• Strong expertise in manual testing methodologies, exploratory testing, and defect lifecycle management
• Strong understanding of where human judgment provides differentiated value compared to automation and how AI can augment, not replace, that judgment
• Proven ability to strengthen and scale QA processes across multiple teams
• Deep understanding of SDLC and Agile methodologies
• Strong analytical thinking and risk assessment capabilities
• Exceptional communication skills, with the ability to influence engineering and product stakeholders
• Solid understanding of system integrations, workflows, and end-to-end product behavior
• Ability to balance tactical execution with strategic quality improvements
Benefits
• A dynamic, rapidly growing company, focused on helping organizations thrive
• Medical, Dental, & Vision Insurance (for full-time employees)
• Competitive & Fair Pay
• Maternity & paternity leave (for full-time employees)
• Short & long-term disability
• Opportunity to learn from a dedicated leadership team
• Top-of-the-line company swag
Apply Now
Apply Now
Role Description
We are seeking an experienced Quality Assurance Manager to lead the next generation of human-centered, AI-augmented testing within our organization. This role provides leadership and oversight for an established team of QA Analysts, elevating traditional validation practices into a modern, AI-assisted quality function. This role is focused on strengthening execution discipline, improving risk-based validation practices, and increasing release confidence across the product portfolio.
• Provide day-to-day leadership, oversight, and performance management for a team of QA Analysts
• Define and implement a strategy for AI-assisted manual testing that enhances exploratory depth, risk discovery, and test design efficiency
• Enable QA Analysts to leverage AI tools for test case ideation, scenario expansion, regression gap analysis, and defect clarity, while maintaining human accountability for validation decisions
• Set clear priorities, ensure accountability, and maintain consistent execution standards across projects
• Lead risk-based test planning to ensure critical workflows and customer-impacting functionality are thoroughly validated
• Oversee release readiness activities, including test strategy alignment, defect triage, and quality sign-off
• Represent QA in cross-functional planning, refinement, and product discussions
• Partner with SDET and Engineering leaders to identify automation opportunities and improve overall test strategy
• Analyze defect trends and quality metrics to drive measurable process improvements
• Champion the customer experience by advocating for usability, reliability, and product integrity
Qualifications
• 8 to 10+ years of experience in software quality assurance
• 5+ years of managing distributed or remote quality teams
• Demonstrated leadership experience managing QA Analysts or test teams
• Experience refining test strategies and identifying opportunities for process and automation alignment
• Proven ability to collaborate effectively with cross-functional teams in a fast-paced environment
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• 1 to 3 years of professional experience leveraging AI-assisted tools for test case development and or test execution
Requirements
• Familiarity with AI-assisted testing tools and approaches that enhance test design, coverage analysis, and validation efficiency
• Strong expertise in manual testing methodologies, exploratory testing, and defect lifecycle management
• Strong understanding of where human judgment provides differentiated value compared to automation and how AI can augment, not replace, that judgment
• Proven ability to strengthen and scale QA processes across multiple teams
• Deep understanding of SDLC and Agile methodologies
• Strong analytical thinking and risk assessment capabilities
• Exceptional communication skills, with the ability to influence engineering and product stakeholders
• Solid understanding of system integrations, workflows, and end-to-end product behavior
• Ability to balance tactical execution with strategic quality improvements
Benefits
• A dynamic, rapidly growing company, focused on helping organizations thrive
• Medical, Dental, & Vision Insurance (for full-time employees)
• Competitive & Fair Pay
• Maternity & paternity leave (for full-time employees)
• Short & long-term disability
• Opportunity to learn from a dedicated leadership team
• Top-of-the-line company swag
Apply Now
Apply Now