Own end-to-end quality across multiple platform portfolios — automation, performance, accessibility, and AI quality testing
Lead a team of QE managers, senior engineers, tech leads, and managed-service contractors; develop the next layer of QE leadership
Establish practices, standards, and frameworks that scale beyond individual portfolios; drive consistency in test architecture, automation patterns, and AI quality governance
Implement and enforce QE process standards: test planning, defect triage and SLAs, entry and exit criteria, end-to-end testing, release readiness, and reporting
Own quality metrics across portfolios — defect escape rate, automation coverage, test execution efficiency, AI quality scores, release readiness — and report regularly to leadership
Drive AI adoption across test design, script generation, defect triage, and exploratory testing; build a center of expertise on AI-led QE
Champion the Playwright/TypeScript automation framework, intelligent test execution tooling, and the AI quality stack
Partner with the Director, Quality Engineering on hiring, leveling, capability planning, and career development frameworks
Identify and develop high-potential engineers into tech leads and managers; coach managers on people leadership readiness
Requirements
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
12+ years of experience in quality engineering, with 6+ years in people leadership, including experience managing managers
Proven track record mentoring senior engineers, tech leads, and managers into expanded leadership roles
Hands‑on technical depth — ability to read a Playwright test, evaluate an automation framework, and review architectural decisions
Experience leading multiple portfolios or programs simultaneously
Direct experience with at least three of: intelligent test execution, performance engineering, accessibility testing, API mocking and contract testing, CI/CD integration
Working knowledge of AI in QE — LLM‑assisted test generation, AI model quality evaluation, prompt engineering, and AI quality scoring
Demonstrated experience managing a mix of full‑time engineers, managers, and managed‑service contractors
Hiring and team‑building experience across diverse and globally distributed talent markets