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QA Manager – Enterprise Technology and AI
Location
Asia
Posted
5 days ago
Salary
0
Seniority
Lead
Job Description
QA Manager – Enterprise Technology and AI
GitLab
• 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.
Job Requirements
- 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.
Benefits
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
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