QA & Release Manager

Location:

Denver, CO preferred (not required); frequent travel to Denver required

Compensation: $110k-$130k base | 10% bonus target

Hiring Priority:
Tier 1:
Critical | Target time-to-fill: 30-60 days

me Quilibrium (meQ) is a clinically validated workforce resilience platform serving Global 2000 and public-sector employers. Combining behavioral science, AI, and personalized digital coaching, meQ helps organizations reduce burnout, strengthen psychological safety, and improve workforce performance at scale.

Trusted by Fortune 500 companies and leading employers across industries, meQ delivers both population-level insights and individualized support through a platform designed for measurable business impact.

We are a mission-driven company that believes resilience is a skill, one that can be learned, measured, and scaled.

We are seeking an experienced, hands-on QA & Release Manager to lead quality assurance and release management across our web and mobile applications. This role owns QA strategy, testing execution, automation, release coordination, and production readiness.

The ideal candidate combines strong technical testing experience with practical leadership skills.

You actively test and build automation while mentoring junior QA staff. You have a proven, demonstrated track record of using AI in day-to-day QA work. You have used AI tools to generate test cases, write automation code, analyze test results, identify flaky tests, and accelerate.

• Rethink QA team methodologies and skillsets for a world where AI generates the majority of code.
• Implement coverage metrics that account for AI-generated tests, and scale validation to rapidly growing volumes of code and use cases.
• Develop and maintain QA strategies and release-specific test plans covering functional, regression, integration, end-to-end, exploratory, and user acceptance testing.
• Maintain reusable test cases and regression coverage across web and mobile applications.
• Test iOS and Android applications using real devices, emulators, simulators, and cloud device platforms, including OS compatibility, upgrades, notifications, permissions, interruptions, and changing connectivity.
• Coordinate internal user acceptance testing with product and business stakeholders.
• Review requirements early to identify edge cases, testing gaps, and product risks.
• Investigate, reproduce, document, and verify internal and customer-reported defects.

• Own and coordinate web and mobile releases across development, QA, staging, and manage release schedules, testing milestones, deployment readiness, and post-release verification.
• Coordinate mobile build validation and submissions through Apple App Store Connect and define release readiness criteria, including regression completion, critical defect assessment, and stakeholder sign-off.
• Communicate release risks, deployment blockers, and outstanding issues to engineering, product, and customer-facing teams.
• Maintain release checklists, documentation, and testing sign-off records.
• Partner with engineering on deployment incidents, rollback decisions, and recovery activities.

• Design, implement, and maintain scalable automated testing frameworks using Playwright, Cypress, Selenium, and Appium.
• Develop reliable automated regression suites and integrate testing into CI/CD pipelines (Git Hub).
• Establish reusable automation components, coding standards, and maintainable test.
• Identify high-value opportunities to automate repetitive manual tests and improve coverage.
• Evaluate AI-assisted tools for test development, defect analysis, predictive risk assessment, statistical process control, and automated quality reporting.
• Test REST APIs, backend services, integrations, authentication, response handling, and data integrity.
• Use Postman or comparable tools for API validation and troubleshooting.
• Write SQL queries to verify application data, investigate defects, and validate backend behavior.
• Validate data synchronization and consistency across applications, services, and databases.
• Collaborate with backend engineers on integration failures, data defects, system migrations, and architectural changes.

• Establish quality metrics aligned with engineering goals and departmental OKRs.
• Define governance for AI-generated test artifacts, including validation, review, and sign-off processes, to ensure AI outputs meet quality standards.
• Establish metrics to measure the…