Description

You will lead an AI-first testing strategy to transform quality engineering across applications and platforms, managing multiple teams including people, budget, and planning.

Responsibilities

• Lead the design, build, and management of a highly automated testing pipeline that enables rapid, high-quality releases.
• Implement AI-powered solutions for functional, integration, smoke, and performance testing, including self-healing automation and synthetic data generation.
• Oversee the end-to-end Software Development Lifecycle, implementing best practices for agile development, continuous integration, and continuous delivery.
• Direct a team of Quality Engineers in creating AI agents and automation practices that enable agile squads to deliver efficiently.
• Drive compliance with applicable laws and regulations while applying sound ethical judgment to balance trade-offs between competing interests.

Required Skills

• 15+ years of relevant experience, with significant time in product line management, e-commerce, or strategic planning roles.
• Proven track record of managing the full SDLC for large-scale, complex software projects in high-growth environments.
• Deep expertise in AI-driven quality engineering, including using machine learning to generate test cases, predict risks, and accelerate defect detection.
• Strong background in CI/CD, performance testing, test automation, and agile methodologies (Scrum and Kanban).
• Experience with modern software architecture patterns, functional and non-functional testing strategies, and risk assessment.
• Demonstrated leadership management skills, including budget planning, team development, and cross-functional collaboration.
• Ability to foster a culture of innovation and continuous improvement across the engineering organization.

Preferred Skills

• Master's degree in a relevant technical field.
• Experience with synthetic data generation and self-healing automation frameworks.

Key Skills

Education

Any Graduate