QA Manager, Enterprise Technology and AI

GitLab is hiring a QA Manager, Enterprise Technology and AI in India.

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, in

Responsibilities

• 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.

About GitLab

The QA Manager is part of the Enterprise Applications team, which is responsible for GitLab's critical business applications, including Salesforce, Zuora, NetSuite, and more. This team helps GitLab scale by delivering new capabilities while maintaining a reliable, secure, and compliant production environment. The team operates fully remotely and collaborates asynchronously across multiple regions, guided by GitLab's values of transparency and open communication. You'll work closely with cross-fu