Job Summary

nWe 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.

nKey Responsibilities

nQA Leadership & Strategy

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- Define and execute the overall QA strategy aligned with business and engineering objectives.
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- Lead, mentor, and grow a team of QA Engineers, Senior QA Engineers, and SDETs.
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- Establish quality standards, testing best practices, and automation frameworks across projects.
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- Drive continuous improvement initiatives to enhance product quality and testing efficiency.
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- Manage resource planning, sprint planning, workload distribution, and performance reviews.
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nAI & LLM Application Testing

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- Define comprehensive testing strategies for AI-powered applications and Large Language Model (LLM) integrations.
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- Oversee validation of AI-generated responses for accuracy, consistency, relevance, and safety.
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- Ensure conversational AI applications maintain context, logical flow, and expected behavior.
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- Review prompt engineering test cases and edge-case scenarios for AI-powered features.
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- Validate AI application performance, usability, and response quality across different business use cases.
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- Hands on with agentic solutions in AI section
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nTest Planning & Execution

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- Own end-to-end test planning, execution, monitoring, and reporting across multiple products.
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- Review and approve detailed test plans, test cases, automation scripts, and test reports.
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- Ensure complete functional, regression, integration, system, API, performance, and user acceptance testing.
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- Drive risk-based testing approaches for critical business applications.
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nAutomation & Quality Engineering

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- Define and drive automation strategy using modern automation frameworks.
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- Improve automation coverage and CI/CD integration.
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- Ensure automation suites are scalable, maintainable, and continuously executed.
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- Promote shift-left testing practices and quality engineering culture.
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nAPI & Integration Testing

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- Oversee API testing using tools such as Postman, REST Assured, and similar frameworks.
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- Validate integrations between AI services, backend systems, databases, third-party platforms, and frontend applications.
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- Ensure data consistency and end-to-end system validation.
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nDefect Management & Quality Metrics

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- Establish defect management processes and quality gates.
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- Track QA KPIs including:
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- Test Coverage
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- Defect Leakage
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- Automation Coverage
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- Regression Effectiveness
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- Production Defects
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- Test Execution Progress
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- Present quality metrics and risk assessments to senior leadership.
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nProcess Improvement

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- Standardize QA processes across teams.
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- Introduce AI-powered testing tools to improve productivity.
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- Drive adoption of modern testing methodologies and best practices.
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- Ensure compliance with SDLC, STLC, Agile, and DevOps practices.
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nRequired Qualifications

nEducation

nBachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related technical field.

nExperience

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- 7–15+ years of experience in Software Quality Assurance.
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- Minimum 3–5 years of experience leading QA teams.
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- Solid experience managing enterprise-scale testing initiatives.
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- Experience testing AI-enabled or LLM-based applications is highly preferred.
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📌 Sr QA Manager (India)
🏢 ProductSquads
📍 India