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Automation Qa Manager

💼 Full-time🗓 2026-07-26

Core

Lead quality engineering initiatives for modern web applications and AI-powered products, focusing on test automation and GenAI/LLM evaluation.

Role type

Senior IC QA Manager (Automation + GenAI)

Builds

Scalable quality processes, automation frameworks, and high-quality product delivery for web and AI applications.

Domain

Software Quality Engineering, Generative AI, Large Language Models

Deliverable

production ML models | product features

Required skills

Test automation (Playwright, JavaScript/TypeScript), GenAI/LLM evaluation methodologies, CI/CD integration, API/UI testing, stakeholder communication, team leadership, defect lifecycle management, risk assessment, Agile/Scrum.

Preferred skills

LLM evaluation tools (DeepEval), cloud platforms (AWS, Azure, GCP), performance testing, security testing, accessibility testing, building QA processes from scratch.

Technologies

Playwright, JavaScript, TypeScript, DeepEval, AWS, Azure, GCP

Responsibilities

Lead end-to-end QA activities across multiple products; define and implement QA strategies and automation frameworks; drive automation initiatives for UI, API, and end-to-end testing; validate and evaluate GenAI/LLM applications using specific metrics; collaborate with product, engineering, and client teams; manage defect lifecycle and release sign-offs; build and mentor QA teams; track and report QA metrics and operational efficiency.

Seniority

Senior, hands-on IC with leadership

Rewrite
## About the Role We are looking for a highly driven and technically strong QA Manager to lead quality engineering initiatives across modern web applications and AI-powered products. The ideal candidate should have strong expertise in test automation using Playwright with JavaScript, hands-on understanding of GenAI/LLM evaluation methodologies, and excellent stakeholder communication skills. This role requires someone who can thrive in a fast-paced, high-growth environment while building scalable quality processes and collaborating across engineering, product, and client teams. ## Responsibilities - Lead and manage end-to-end Quality Assurance activities across multiple products and releases. - Define and implement QA strategies, test plans, automation frameworks, and quality standards. - Drive automation initiatives using Playwright and JavaScript for UI, API, and end-to-end testing. - Establish scalable automation practices integrated with CI/CD pipelines. - Validate and evaluate GenAI/LLM-based applications using metrics such as relevancy, faithfulness, contextual accuracy, hallucination detection, bias, and response quality. - Collaborate with Product Managers, Engineering teams, Data/AI teams, and clients to ensure high-quality product delivery. - Participate in requirement discussions and provide quality-focused inputs during early development stages. - Manage defect lifecycle, root cause analysis, risk assessment, and release sign-offs. - Build and mentor high-performing QA teams while promoting a strong quality culture. - Work closely with clients and stakeholders to provide testing updates, quality reports, risk analysis, and release readiness communication. - Adapt quickly to evolving priorities and support rapid product iterations in a fast-growing environment. - Drive continuous improvement initiatives across testing processes, tools, and delivery practices. - Ensure application performance, reliability, security, usability, and compliance standards are met. - Track and report QA metrics, automation coverage, release quality, and operational efficiency. ## Required Skills & Qualifications - Bachelor's degree in Computer Science, Engineering, or related field. - 10+ years of experience in Software Testing/Quality Engineering with leadership experience. - Strong hands-on experience with Playwright and JavaScript/TypeScript automation frameworks. - Good understanding of API testing, UI testing, regression testing, and CI/CD integration. - Practical understanding of Large Language Models (LLMs), GenAI workflows, prompt validation, and AI evaluation concepts. - Experience with LLM evaluation tools/frameworks such as DeepEval or equivalent is preferred. - Excellent client-facing communication and stakeholder management skills. - Strong collaboration and cross-functional coordination abilities. - Ability to work effectively in fast-paced startup or high-growth environments. - Experience in Agile/Scrum development methodologies. - Strong analytical, problem-solving, and decision-making capabilities. ## Preferred Qualifications - Experience testing AI-powered healthcare, SaaS, or enterprise applications. - Exposure to cloud platforms such as AWS, Azure, or GCP. - Knowledge of performance testing and security testing practices. - Familiarity with accessibility testing and modern quality engineering practices. - Experience building QA processes from scratch in scaling organizations. ## What We're Looking For - Ownership mindset with strong execution capabilities. - Passion for innovation and modern quality engineering practices. - Ability to balance technical depth with people leadership. - Strong focus on delivering exceptional product quality and customer experience.
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