Full-Time Head of QA

• Quality Strategy and Leadership - Define and execute the Quality Engineering vision. Build and lead a multi-disciplinary QA team.
• End-to-End Quality Ownership - Own functional and regression testing strategy. Drive non-functional testing excellence. Lead security testing initiatives.
• Data Science and AI Quality - Partner with the Data Science org to establish data quality pipelines. Define testing standards for AI model accuracy.
• Customer Success Engineering Quality - Oversee QA processes for custom deployments. Build automation frameworks to validate end-to-end customer experience workflows.
• Process and Tooling Excellence - Institutionalize CI/CD-driven test automation. Evaluate and implement next-gen QA tools. Drive shift-left testing culture.

• 10+ years of experience in software quality engineering, with 3+ years leading QA teams.
• Proven experience in AI/ML or data-centric product quality.
• Deep understanding of microservices architecture, cloud platforms (AWS/Azure), and CI/CD pipelines.
• Hands-on experience with automation frameworks (Selenium, Cypress, Playwright, TestNG, PyTest, etc.).
• Expertise in performance testing tools (JMeter, Gatling, Locust) and security testing.
• Exceptional communication, leadership, and stakeholder management skills.

• Experience in AI/ML testing, data validation, and model governance frameworks.
• Familiarity with observability stacks for production monitoring.
• Understanding of GenAI systems, prompt testing, and retrieval-augmented generation (RAG) validation.

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