QA Manager, Enterprise Technology and AI

What you'll do

• Define and lead the QA strategy for Business Applications, with accountability for functional quality, automation quality, release confidence, and defect prevention across the application portfolio.
• Build and scale a quality engineering practice that supports enterprise platforms such as Salesforce, Zuora and related systems and integrations that power core business operations.
• Establish strong functional testing practices for end-to-end business processes, including configuration validation, workflow testing, role-based access validation, integration testing, and data reconciliation across systems.
• Lead the design and expansion of automation testing frameworks and reusable automated test assets for UI, API, integration, and regression test coverage.
• Partner with Business Applications, PMO, AI & Automation and business stakeholders to embed quality earlier in the delivery lifecycle and ensure clear release-readiness criteria for projects, enhancements, and production changes.
• Own QA planning and execution for complex cross-functional processes spanning CRM,Billing and Support systems, and supporting data flows that impact business continuity and customer outcomes.
• Track and communicate quality metrics including test coverage, test gaps, defect leakage, automation effectiveness, release quality, and team productivity, and use those insights to drive continuous improvement.
• Define and implement an AI-driven QA approach, including opportunities for AI-assisted test design, regression impact analysis, defect summarization, log analysis, evidence generation, and test optimization.
• Evaluate and operationalize AI capabilities using GitLab-native and external AI tools where they improve quality, speed, and insight while maintaining governance, traceability, and trust.
• Build a documentation-first QA operating model with clear test plans, defect reports, traceability, release documentation, and async-friendly communication practices across global teams.
• Hire, coach, and develop QA engineers and automation engineers, while creating clear standards for execution, accountability, collaboration, and career growth.

What you'll bring

• 7+ years of progressive and demonstrated experience leading QA, quality engineering, or test engineering teams supporting Enterprise Business applications at scale.
• 2+ years of Demonstrated experience managing or leading technical teams, with a track record of coaching, giving actionable feedback, and growing team members.
• Strong hands-on and leadership experience in functional testing and automation testing for business applications such as Salesforce, Zuora, Zendesk systems.
• Strong understanding of end-to-end business process testing across integrated enterprise applications, including upstream and downstream dependency validation.
• Experience designing and scaling automated testing approaches across UI, API, workflow, integration, and data validation layers.
• Demonstrated ability to define quality metrics, identify testing gaps, and use data to improve release quality, team performance, and process maturity.
• Experience partnering with business systems teams, program managers, and business stakeholders in fast-moving environments.
• Strong people management experience, including hiring, coaching, performance management, and leading distributed teams.
• Excellent written and verbal communication skills.
• Experience evaluating or implementing AI-enabled QA practices in a practical and governed way that improves testing effectiveness without reducing control or auditability.
• Experience building or modernizing QA capability within Enterprise Applications, or Business Systems organizations.