ProductSquads
Website:
productsquads.co
Job details:
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.
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