Director of Quality Assurance

Accountabilities:

The Director of Quality Assurance will define the quality strategy, lead organizational transformation, and ensure consistent delivery standards across the product portfolio. Key responsibilities include:

• AI-Driven Quality Strategy: Integrate generative and predictive AI tools throughout the software development lifecycle, including AI-assisted test creation, requirements analysis, and automated risk-based test coverage.

• Quality Throughput and Capacity: Scale testing capacity to match accelerated development output while protecting product quality. Track cycle time to release, escaped defect rates, automated test coverage, and full regression suite runtime.

• Modern Test Automation: Lead the evolution of automation frameworks, prioritizing Playwright and AI-powered self-healing infrastructure to improve reliability and reduce maintenance. Address tenant isolation, data segregation, configuration-driven testing, and shared-schema regression risks.

• Quality Organization Leadership: Oversee the QA function, ensuring continuous validation, platform stability, and alignment with modern quality engineering practices.

• Regulatory and Compliance Quality: Maintain QA processes, documentation, and evidence that meet applicable healthcare and data protection requirements, including HIPAA, 21 CFR Part 11, GxP/CSV, SOC 2, and GDPR. Represent the quality function during internal and customer audits.

• Validation of AI-Generated Test Assets: Establish review, approval, traceability, and evidence frameworks to ensure AI-assisted test artifacts meet the standards required in validated environments.

• Security-Focused Testing: Partner with Security and DevOps to integrate SAST/DAST, dependency checks, vulnerability triage, and penetration testing into delivery pipelines. Ensure protected health information (PHI) is appropriately handled and de-identified in test environments.

• Distributed Team and Vendor Management: Lead in-house and outsourced QA teams across time zones, establish consistent performance expectations, and maintain effective relationships with vendors, tool providers, and staffing partners.

• Strategic Roadmap Execution: Deliver quality initiatives aligned with organizational priorities while improving the cost efficiency and scalability of the QA function.

• Multi-Product Release Management: Own quality plans for concurrent launches, parallel release trains, phased deployments, and feature-flagged rollouts. Establish clear release-readiness criteria without creating unnecessary delivery bottlenecks.

• Talent Development: Recruit, mentor, and develop QA leaders and engineers, building expertise in AI-driven testing and modern automation technologies.

• Defect and Metrics Management: Monitor defects, establish continuous improvement processes, and provide Engineering leadership with actionable, data-driven insights into quality and organizational performance.

• Budget and Resource Planning: Manage the QA budget and contribute to financial planning, capacity forecasting, and resource allocation.

• Cross-Functional Collaboration: Work closely with Development, Product, Support, Compliance, Sales, Professional Services, executive stakeholders, and current or prospective customers.

Requirements:

The ideal candidate is an experienced quality engineering leader who combines technical depth with organizational leadership, strong regulatory knowledge, and a proven ability to modernize established QA practices. Required qualifications and capabilities include:

• A bachelor’s degree in Computer Science, Computer Engineering, or a related field, or an equivalent combination of education and experience.

• At least 10 years of QA experience.

• At least 5 years of management experience at Director level or in an equivalent senior leadership role.

• Experience leading quality engineering within a regulated healthcare or life sciences environment, including exposure to HIPAA and FDA 21 CFR Part 11 requirements.

• Direct experience building and leading QA for a multi-tenant SaaS product.

• Demonstrated success introducing AI-assisted testing into an established organization.

• Hands-on experience implementing AI tooling across the SDLC, including AI-assisted test generation and self-healing test runners.

• Strong expertise in Playwright at scale within CI pipelines, modern web and API automation, and API or contract testing.

• Sound judgment in determining when AI-generated testing assets are appropriate for validated and regulated environments.

• Comprehensive understanding of the software development lifecycle and the integration of quality engineering into Agile, DevOps, and CI/CD workflows.

• Proven ability to lead teams through significant tooling and process changes while maintaining delivery throughput and employee engagement.

• Experience managing distributed and offshore QA teams, including in-house employees and vendor-supplied contractors, as well as selecting, onboarding, and overseeing external QA partners.

• Strong executive communication skills, including presenting quality metrics, strategic progress, and performance insights to senior and C-level stakeholders.

• Excellent attention to detail and a methodical approach to compliance, documentation, validation, and execution standards.

• Ability to collaborate across multiple time zones and support a distributed organization.

• US-based candidates are preferred. The role is remote, and some travel may be required.

Benefits:

• Annual salary range of $185,000–$205,000 USD.

• Medical, dental, vision, life, and long-term disability insurance.

• 100% coverage of employee health insurance premiums.

• 50% coverage of dependent health insurance premiums.

• Flexible work schedules and locations, supporting work-life balance.

• Remote, home-based working arrangement.

• A collaborative environment that values innovation, continuous improvement, and high-quality customer experiences.

• Opportunities to contribute to technology that supports advances in human health.