QA Manager, Enterprise Technology and AI

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

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An overview of this role

The Enterprise Technology QA Manager is responsible for defining and leading the quality engineering strategy for GitLab’s business applications ecosystem, with strong emphasis on functional testing, automation testing, and AI-driven QA practices. This role partners across Enterprise Applications, PMO, AI & Automation team, and business stakeholders to improve release quality, reduce change risk, and increase confidence across systems that run critical business processes.

This leader owns QA strategy across core enterprise platforms such as Salesforce, Zuora and related integrations, ensuring scalable coverage across lead-to-cash and quote-to-cash workflows. The role is expected to build reusable automation, strengthen functional validation, establish measurable quality standards, and operationalize AI to improve testing efficiency.

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-