QA Manager, Enterprise Technology and AI
WFA Digital Insight
As demand for digital transformation accelerates, companies like Gitlab are scaling their QA teams to ensure seamless integration of AI and enterprise platforms. With 34% growth in QA specialist roles in 2025, skilled professionals are in high demand. Gitlab stands out for its commitment to innovation and employee growth, making this an attractive opportunity for those looking to drive impact in the tech industry. Before applying, candidates should be prepared to showcase their experience with Salesforce, Adjust, and Excel, as well as their ability to lead and implement AI-driven QA strategies.
Job Description
About the Role
The QA Manager for Enterprise Technology and AI at Gitlab is a critical role that defines and leads the quality engineering strategy for the company's business applications ecosystem. This involves strong emphasis on functional testing, automation testing, and AI-driven QA practices to improve release quality, reduce change risk, and increase confidence across systems that run critical business processes. The role partners across Enterprise Applications, PMO, AI & Automation team, and business stakeholders to drive efficiency, innovation, and impact.As a key member of the team, the QA Manager will own the 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. This leader will build reusable automation, strengthen functional validation, establish measurable quality standards, and operationalize AI to improve testing efficiency.
The QA Manager will be part of a high-performance culture driven by Gitlab's values and continuous knowledge exchange, enabling team members to reach their full potential while collaborating with industry leaders to solve complex problems.
What You Will 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-driven testing, test data management, and quality analytics
What We Are Looking For
- 5+ years of experience in quality engineering, with a focus on enterprise applications and AI-driven QA practices
- Strong expertise in Salesforce, Adjust, and Excel
- Experience with automation testing frameworks and tools
- Ability to lead and manage a team of quality engineers
- Strong communication and collaboration skills
- Experience with Agile development methodologies
- Strong analytical and problem-solving skills
- Ability to work in a fast-paced, dynamic environment
Nice to Have
- Experience with AI and machine learning technologies
- Knowledge of cloud-based technologies and platforms
- Experience with DevOps practices and tools
- Certification in quality engineering or a related field
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a leading technology company
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Flexible working hours and remote work options
- Access to cutting-edge technologies and tools
- Recognition and reward for outstanding performance
- Comprehensive health and wellness programs
- Generous parental leave policy
- Flexible paid time off and holiday policy
How to Stand Out
- Be prepared to showcase your experience with Salesforce, Adjust, and Excel, and explain how you can apply this expertise to drive quality engineering strategy at Gitlab.
- Highlight your ability to lead and manage a team of quality engineers, and provide examples of successful projects you have led in the past.
- Demonstrate your knowledge of AI-driven QA practices and how you can implement these in a real-world setting.
- Be ready to discuss your experience with automation testing frameworks and tools, and explain how you can apply this expertise to improve testing efficiency at Gitlab.
- Show enthusiasm for the opportunity to work with a leading technology company and contribute to the development of innovative products and services.
- Prepare examples of how you have driven continuous improvement in previous roles, and explain how you can apply this mindset to drive quality engineering strategy at Gitlab.
- Research Gitlab's company culture and values, and be prepared to explain how your own values and work style align with these.
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