Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a QA Manager, Validation & Test Strategy in United States. In this role, you will lead the evolution of quality assurance by combining human expertise with AI-augmented testing approaches to deliver highly reliable, customer-centric software. You will oversee and mentor a team of QA Analysts while shaping modern validation strategies that elevate execution, reduce risk, and strengthen release confidence. Operating in a fast-paced, innovation-driven environment, you will collaborate closely with product, engineering, and automation teams to embed quality at every stage of the development lifecycle. Your impact will be felt across the entire product portfolio, improving usability, performance, and overall customer experience. This position offers a unique opportunity to drive strategic improvements while remaining hands-on in execution. If you are passionate about quality, innovation, and leadership, this role provides the platform to make a lasting difference. \n

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.

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.

Benefits