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.