Lead QA Engineer

Job Description:

As a Lead Quality Assurance Engineer, you will define the quality vision, strategy, and roadmap across teams. You will lead large-scale quality initiatives including the integration of AI-driven testing and automation capabilities mentor engineers, and ensure that quality remains a core engineering principle across the organization.

What’s required of you
• 10+ years of software quality assurance experience, with a proven track record of leading, mentoring, and developing QA teams.
• Strong understanding of software testing methodologies, QA principles, release management, and cross-functional delivery in Agile environments.
• Demonstrated experience in people management, including performance management, coaching team members, supporting career growth, and building high-performing QA organizations.
• Pragmatic decision-making ability to balance high-quality standards, business priorities, and delivery timelines while making informed, risk-based decisions.
• Experience driving test automation, QA tooling, and innovation, including evaluating and integrating AI-assisted testing practices to improve team velocity and efficiency.
• Strong communication and stakeholder management skills, with the proven ability to influence cross-functional decisions through data, metrics, and clear quality insights.
• Proven experience in QA planning, resource allocation, and capacity management, with a track record of scaling quality frameworks across multiple teams.

What we are looking for
• Define and drive the overall QA strategy, roadmap, and quality vision across multiple teams and products.
• Own QA planning, including sprint POC allocation, workload balancing, and capacity management.
• Establish quality standards, testing processes, and release-governance mechanisms across teams.
• Drive quality metrics, dashboards, trend analysis, and leadership-level reporting.
• Lead initiatives around automation frameworks, QA tooling, productivity improvements, and AI adoption.
• Build, mentor, and develop high-performing QA teams through coaching, feedback, and succession planning.
• Define hiring frameworks, participate in interviews, and establish onboarding and capability-development programs.
• Partner with engineering, product, and business teams to improve delivery, quality, and operational excellence.

AI Skills
• Deep understanding of emerging AI capabilities in software testing.
• Experience defining AI-driven quality strategies.
• Ability to evaluate new tools, workflows, and industry practices.
• Passion for continuously evolving the QA function through innovation.

Details