Quality Operations Manager

Nutanix • San Jose, CA

16d • Hybrid

About The Position

Are you an experienced leader with a strong background in quality assurance and a passion for driving innovation through AI technologies? If so, you will want to join our team at Nutanix, where you’ll have the unique opportunity to lead transformative quality operations initiatives, collaborate closely with cross-functional teams, and make a significant impact on elevating customer-perceived quality across the organization. The Quality Engineering Team at Nutanix is a dynamic group dedicated to driving excellence in quality engineering and operations. Based in San Jose, this team fosters a culture of collaboration, innovation, and continuous improvement, with a mission to enhance customer-perceived quality across all products and services. Team members are encouraged to leverage their expertise and creativity to implement AI-enabled transformation initiatives that elevate the organization's quality ecosystem, aligning practices across various functions and stakeholders. You will report to the Sr Director of Engineering, who is known for a collaborative leadership style that emphasizes empowerment and open communication. The work setup for this role is hybrid, requiring the successful candidate to be in the office for a minimum of three days per week, allowing for both in-person collaboration and flexible work arrangements.

Requirements

• Bachelor's degree in computer science, engineering, or a related field; master's degree preferred.
• 10+ years of leadership experience and 12+ years in quality assurance, system testing, and automation.
• Strong background in quality engineering and proven ability to manage release testing and drive quality improvements.
• Hands-on experience with AI/ML to enhance QA practices, including regression testing and predictive analytics.
• Deep understanding of virtualization technologies (e.g., VMware vSphere, Nutanix AHV).
• Exceptional analytical, problem-solving, and decision-making skills.
• Excellent communication and stakeholder management abilities, with capacity to influence cross-functional teams.
• Familiarity with automation frameworks and quality tools, with a focus on AI-driven testing solutions.

Responsibilities

• Drive quality operations and testing activities, providing executive updates on quality health and release testing convergence.
• Establish and advocate for quality metrics and dashboards to measure test effectiveness, efficiency, and overall product quality.
• Optimize QE-owned infrastructure through collaboration with IT and quality leaders to enhance operational efficiencies.
• Lead the adoption of AI-driven practices in testing, accelerating regression testing, defect triage, and release validation.
• Track customer-perceived quality measures and analyze customer-found defects, ensuring alignment with quality leaders to drive closure.
• Collaborate with cross-functional teams to ensure comprehensive QE coverage and provide feedback on quality issues.
• Integrate customer feedback into quality strategy, delivering actionable insights to enhance customer trust and satisfaction.
• Influence and partner with stakeholders across the organization to align quality goals with overall business objectives.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees