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Key job responsibilities
A key focus of this role is leveraging Artificial Intelligence (AI) to enhance quality assurance processes. You will be expected to drive AI-powered automation and integrate AI-driven testing methodologies into the software development lifecycle.Key Responsibilities:- Define, measure and own core QA metrics for the org.- Work on ambiguous quality problem areas and complex test scenarios for both new and existing products.
- Develop and implement AI-driven automated test strategies to improve efficiency, reduce manual effort, and increase test coverage.- Leverage data to measure quality pre-release and in production.
- Lead parallel testing efforts across multiple QA engineers and ensure seamless integration into product launches.
- Mentor and develop other QA engineers, sharing best practices and fostering technical growth.
A day in the life
- 7+ years of experience leading and executing quality assurance for large, complex projects
- Experience with AI/ML-driven testing approaches, including automated test script generation and defect prediction models.
- Strong proficiency in designing and implementing automated test frameworks and strategies.
- Deep understanding of software development lifecycles and testing methodologies.
- Proven experience with test automation tools and programming languages (e.g., Java, Python, JavaScript, etc.).
- Strong problem-solving skills with the ability to anticipate and prevent defects before they occur.
- Ability to drive and influence quality initiatives across multiple teams.
- Strong communication skills and ability to collaborate effectively with developers, SDMs, QA engineers, and product managers.
- Passion for improving engineering efficiency and advocating for quality best practices.
- Master's degree
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