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QA Manager, Validation & Test Strategy

SDETSDETFull TimeRemote

Location

United States

Posted

15 days ago

Salary

Not specified

No structured requirement data.

Job Description

This role involves leading the evolution of quality assurance by combining human expertise with AI-augmented testing approaches to deliver highly reliable, customer-centric software. Oversee and mentor a team of QA Analysts Shape modern validation strategies that elevate execution, reduce risk, and strengthen release confidence Collaborate closely with product, engineering, and automation teams to embed quality at every stage of the development lifecycle Drive strategic improvements while remaining hands-on in execution Your impact will be felt across the entire product portfolio, improving usability, performance, and overall customer experience. Accountabilities Provide daily leadership, coaching, and performance management for a distributed team of QA Analysts Define and implement an AI-assisted testing strategy that enhances exploratory testing, risk detection, and test design efficiency Lead risk-based test planning to ensure critical workflows and high-impact functionality are thoroughly validated Oversee release readiness activities, including test strategy alignment, defect triage, and final quality sign-off Collaborate with engineering and SDET leaders to identify automation opportunities and improve overall testing frameworks Analyze quality metrics and defect trends to drive continuous improvement and operational excellence Represent QA in cross-functional planning, refinement, and product discussions while championing user experience and product integrity

Job Requirements

8 to 10+ years of experience in software quality assurance, with 5+ years managing QA or test teams
Strong expertise in manual and exploratory testing methodologies, defect lifecycle management, and risk-based validation
Proven experience refining QA strategies and scaling processes across multiple teams and products
Solid understanding of SDLC, Agile methodologies, and end-to-end system integrations
Familiarity with AI-assisted testing tools and the ability to balance automation with human judgment
Excellent analytical, organizational, and communication skills, with the ability to influence cross-functional stakeholders
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience