Director of Quality Assurance

• Develop and maintain a unified quality strategy aligned with organizational and product goals
• Define QA standards, processes, tools, and governance mechanisms across all product lines
• Lead quality improvement initiatives, audits, and transformation programs
• Drive adoption of AI/ML-based quality, testing, and risk-assessment tools
• Define, track, and report quality metrics including defect rates, release stability, automation effectiveness, and customer-reported issues
• Prepare executive-level quality reports and dashboards for C-level leadership
• Provide dotted-line leadership to approximately 150 QA and Automation QA professionals across 10 distributed product teams
• Mentor QA managers, leads, and senior engineers and develop competency frameworks
• Oversee functional, regression, integration, performance, security, and automated testing practices
• Advance automation strategies and frameworks supporting CI/CD pipelines and modern engineering delivery models
• Lead integration of AI-assisted testing, generative AI tools, intelligent automation, and predictive quality insights
• Ensure alignment on release criteria, quality gates, and readiness standards
• Partner with Engineering and Product to improve release stability, predictability, and performance
• Oversee defect detection and quality-risk visibility throughout the SDLC
• Participate in critical release reviews, escalations, and post-release evaluations
• Work with Product Management to ensure requirements are testable and quality expectations are defined
• Collaborate with Customer Support, Customer Success, Sales, Pre-Sales, and Services during issue resolution and customer-critical engagements
• Communicate quality risks, priorities, and metrics to stakeholders and executive leadership
• Strengthen customer retention and competitive positioning through improved product quality and reliability

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• 10+ years of QA, Quality Engineering, or Software Testing experience
• 7+ years in QA leadership roles with responsibility across multiple products and global teams
• Experience with automation frameworks, CI/CD pipelines, and modern SDLC practices
• Proven ability to lead in a matrixed/dotted-line environment
• Demonstrated experience with AI-assisted testing or ML-driven quality tools
• Strong communication and collaboration skills across technical and business functions
• Passion for quality, innovation, efficiency, and continuous improvement
• Experience preparing and presenting reports and insights to C-level executives
• Preferred: Experience in SaaS, cloud platforms, or enterprise software
• Preferred: Knowledge of generative AI, predictive analytics, or intelligent automation technologies
• Preferred: Experience in large-scale QA modernization and organizational change initiatives
• Resume and application must be submitted in English
• Successful completion of applicable criminal, education, and identity background checks

• Equal opportunity employment
• Employment offers contingent upon successful completion of applicable criminal, education, and identity background checks
• Global “A-Team” culture emphasizing innovation, accountability, impact, ownership, resilience, adaptability, and continuous improvement