QA Manager – Enterprise Technology and AI

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-11

Artificial Intelligence • Enterprise • SaaS

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• 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.

🎯 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