Senior Manager Quality Engineering

Mad Mobile • Tampa, FL

3d • Onsite

About The Position

Mad Mobile is seeking a Senior Manager, Quality Engineering to lead its quality engineering team and uphold software quality across the company’s platform. The role develops and implements quality strategies, processes, and tools to make testing more efficient and accurate and to support a strong customer experience. It is based in Tampa, Florida, and contributes to delivering reliable solutions for retail and restaurant partners.

The manager will collaborate with development, product management, and customer support; oversee test planning and execution; monitor quality metrics; and ensure QA practices align with industry standards. The role also applies AI technologies and methodologies to quality engineering, identifies AI use cases, and keeps current with developments in AI and machine learning relevant to software testing. It includes mentoring team members and fostering continuous improvement and innovation.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• At least 5 years of experience in quality assurance.
• At least 2 years in a managerial role within a SaaS company.
• Strong knowledge of AI technologies and their applications in QA processes.
• Proven experience with automated testing tools and frameworks.
• Excellent leadership and team management skills.
• Strong analytical and problem-solving abilities.
• Excellent communication and interpersonal skills.
• Ability to work in a fast-paced, dynamic environment.

Nice To Haves

• Master's degree in Computer Science, Engineering, or a related field.
• Experience with AI-driven testing tools and platforms.
• Knowledge of industry standards and QA best practices for SaaS products.

Responsibilities

• Lead and manage the QA team to deliver high-quality software products.
• Develop and implement QA strategies, processes, and standards to improve product quality and efficiency.
• Collaborate with development, product management, and customer support to integrate QA processes.
• Use AI technologies and methodologies to enhance QA, including automated testing, predictive analytics, and anomaly detection.
• Identify and implement AI use cases within the QA department to improve testing accuracy and efficiency.
• Oversee the development and execution of test plans, test cases, and test scripts.
• Monitor and report QA metrics, including defect rates, test coverage, and test execution progress.
• Ensure compliance with industry standards and QA best practices.
• Provide mentorship and guidance to QA team members and foster continuous improvement and innovation.
• Stay informed about advances in AI and machine learning as they relate to software testing.

Benefits

• Medical, dental, and vision benefits available from day one, with the company covering a generous portion of premiums.
• $1,000 HSA contribution, prorated based on start date and split into two payments.
• 401(k) plan with matching contributions of up to 4%, with employees fully vested from day one.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior