About the role
Job
Description:
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.