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Senior Manager, Quality Engineering
Job in
Germantown, Montgomery County, Maryland, 20875, USA
Listed on 2026-07-13
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-13
Job specializations:
-
Quality Assurance - QA/QC
AI QA / Validation Engineer
Job Description & How to Apply Below
- 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/Type Script 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
- 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
- Comfort with ambiguity and a builder mindset
- Bachelor’s degree in Computer Science
- Bachelor’s degree in Engineering
Position Requirements
10+ Years
work experience
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