Sr QA Manager

Job Summary We are looking for an experienced Senior QA Manager to lead our Quality Assurance function for modern web applications and AI-powered products. The ideal candidate will have extensive experience in manual and automation testing , team leadership , test strategy , and AI/LLM application validation . This role requires driving quality across the entire software development lifecycle while mentoring QA teams, collaborating with cross-functional stakeholders, and implementing AI-driven testing practices to ensure high-quality software delivery. Key Responsibilities QA Leadership & Strategy Define and execute the overall QA strategy aligned with business and engineering objectives. Lead, mentor, and grow a team of QA Engineers, Senior QA Engineers, and SDETs. Establish quality standards, testing best practices, and automation frameworks across projects. Drive continuous improvement initiatives to enhance product quality and testing efficiency. Manage resource planning, sprint planning, workload distribution, and performance reviews. AI & LLM Application Testing Define comprehensive testing strategies for AI-powered applications and Large Language Model (LLM) integrations. Oversee validation of AI-generated responses for accuracy, consistency, relevance, and safety. Ensure conversational AI applications maintain context, logical flow, and expected behavior. Review prompt engineering test cases and edge-case scenarios for AI-powered features. Validate AI application performance, usability, and response quality across different business use cases. Hands on with agentic solutions in AI section Test Planning & Execution Own end-to-end test planning, execution, monitoring, and reporting across multiple products. Review and approve detailed test plans, test cases, automation scripts, and test reports. Ensure complete functional, regression, integration, system, API, performance, and user acceptance testing. Drive risk-based testing approaches for critical business applications. Automation & Quality Engineering Define and drive automation strategy using modern automation frameworks. Improve automation coverage and CI/CD integration. Ensure automation suites are scalable, maintainable, and continuously executed. Promote shift-left testing practices and quality engineering culture. API & Integration Testing Oversee API testing using tools such as Postman, REST Assured, and similar frameworks. Validate integrations between AI services, backend systems, databases, third-party platforms, and frontend applications. Ensure data consistency and end-to-end system validation. Defect Management & Quality Metrics Establish defect management processes and quality gates. Track QA KPIs including: Test Coverage Defect Leakage Automation Coverage Regression Effectiveness Production Defects Test Execution Progress Present quality metrics and risk assessments to senior leadership. Process Improvement Standardize QA processes across teams. Introduce AI-powered testing tools to improve productivity. Drive adoption of modern testing methodologies and best practices. Ensure compliance with SDLC, STLC, Agile, and DevOps practices. Required Qualifications Education Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related technical field. Experience 7–15 years of experience in Software Quality Assurance. Minimum 3–5 years of experience leading QA teams. Strong experience managing enterprise-scale testing initiatives. Experience testing AI-enabled or LLM-based applications is highly preferred.