Filevine

QA Manager, Validation & Test Strategy

Job Description

Role Summary:

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.


Responsibilities:
  • 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

    • Knowledge & Skills:
  • 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

    • 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

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