Manager, Quality Engineering (TCF)

Job Title:

Job Description

The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.

The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.

Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year.

Join us and be part of this journey towards greater opportunities and brighter futures.

Role Overview

We are looking for an experienced Technical Manager - QA to lead QA delivery and Quality Engineering initiatives. The ideal candidate should have strong expertise across QA Automation, Functional Testing, AI-driven Testing, Agentic Automation, People Management, Client Management, and SOW/Delivery Management.

The candidate should be able to provide both technical leadership and delivery leadership, while driving the adoption of modern AI-powered and agentic automation approaches within QA.

Key Responsibilities:

• Lead QA teams and provide technical and delivery leadership across projects.
• Define and drive QA strategy, test approach, automation strategy, and quality engineering practices.
• Strong experience in Functional Testing, System Testing, Integration Testing, Regression Testing, and End-to-End Testing.
• Strong experience in Test Automation, including designing, developing, and maintaining automation frameworks.
• Drive adoption of AI-powered testing and Agentic Automation to improve QA productivity, coverage, and efficiency.
• Design and implement Agentic Automation solutions where AI agents can understand requirements, generate/execute test scenarios, analyze results, identify defects, and support test maintenance.
• Evaluate and leverage Generative AI / LLM capabilities for test automation, test case generation, test data creation, defect analysis, and QA productivity.
• Provide technical guidance and mentoring to QA engineers and automation teams.
• Manage team performance, resource allocation, utilization, skill development, and career growth.
• Work closely with clients, business stakeholders, Product Owners, Developers, and other delivery teams.
• Own QA delivery and proactively manage project risks, issues, dependencies, and quality metrics.
• Participate in SOW preparation, effort estimation, resource planning, scope definition, milestones, and deliverables.
• Support SOW execution, change requests, project extensions, and scope-related discussions.
• Prepare and present QA status, metrics, risks, and delivery updates to senior stakeholders and clients.
• Drive continuous improvement and adoption of modern QA, AI, and automation practices.
• Support hiring, technical evaluation, onboarding, and capability development of QA resources.

Must-Have Skills

• 12+ years of experience in Software Testing / Quality Engineering.
• Strong experience in both Functional Testing and Test Automation.
• Proven experience in QA Team / People Management.
• Strong experience in Client and Stakeholder Management.
• Hands-on experience with SOW, estimation, resource planning, and delivery management.
• Strong understanding of STLC, SDLC, Agile/Scrum, and QA methodologies.
• Experience with UI and API automation.
• Good programming knowledge in Java, C#, TypeScript, or JavaScript.
• Mandatory experience/exposure to AI-driven QA / AI-based Test Automation.
• Mandatory exposure/experience in Agentic Automation, including AI agents or agent-based approaches for software testing and automation.
• Understanding of Generative AI / LLMs, AI-assisted test generation, test execution, defect analysis, or test maintenance.
• Experience using AI tools/platforms such as GitHub Copilot, Claude, ChatGPT, or similar AI/LLM-based solutions for QA/automation is preferred.
• Experience with CI/CD and version-control tools such as Jenkins, GitLab, Git, etc.
• Excellent communication, leadership, analytical, and problem-solving skills.

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