Top 2070 Human resources technology manager Jobs in Remote

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Contact Government Services, LLC —Remote
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QA Engineering Manager | AI-First Quality Engineering

Everforth -
Remote

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Job Details

Full-time
$150,000 - $220,000 a year
8 days ago

Qualifications

Regression testing implementation
Software design
Engineering development testing
Quality control product testing
Software coding
Coaching
Performance management
Microservices
Software quality assurance team management
Team development
AWS
Managing engineering teams
Mentoring
Cloud Native Design
APIs
Quality check automation
DevOps automation
AI-driven automation
Project leadership
Model evaluation
Technical architecture

Full Job Description

QA Engineering Manager | AI-First Quality Engineering

QA Engineering Manager, AI-First Quality Engineering

Location: Remote (United States)
Compensation: $150,000 to $220,000 base + bonus, with flexibility for exceptional candidates
Employment Type: Full-Time

About the Opportunity

We're a profitable, established enterprise software company investing heavily in modernizing our engineering organization. We've recently launched AI-powered product features, and we're looking for a QA Engineering Manager to lead the next evolution of our quality engineering strategy.

This is a rare opportunity to define what AI-first quality engineering looks like. You'll build the evaluation infrastructure that keeps AI-powered features reliable while leading the transition from traditional test automation to AI-assisted and AI-agent-driven testing. This is a true builder role where you'll partner directly with engineering leadership to establish the strategy, tooling, and technical direction for quality engineering across multiple product lines.

What You'll Do

Own the quality engineering strategy and execution across multiple product lines.
Lead the transition from traditional automation to AI-assisted and AI-agent-driven quality engineering using tools such as Claude Code, Cursor, GitHub Copilot, or similar.
Design and build evaluation infrastructure for LLM-powered product features, including golden datasets, prompt regression testing, tool-call validation, LLM-as-judge evaluation, and automated quality gates.
Establish quality standards for both human-written and AI-generated code through automated evaluation and review processes.
Hire, mentor, and grow a team of QA Engineers and SDETs while establishing engineering best practices.
Partner closely with engineering leadership on architecture, scalability, and quality strategy across AWS-based microservices.
Define and measure quality through business-focused metrics such as release confidence, escaped defect rates, regression effectiveness, and mean time to detection.
Stay hands-on by reviewing AI-generated test code, contributing to automation frameworks, improving CI/CD pipelines, and solving complex technical challenges.
Champion modern AI-driven testing practices and continuously evaluate new technologies that improve engineering velocity and product quality.

What We're Looking For

Required

7+ years of experience in software engineering, software quality engineering, or test automation.
2+ years of engineering management experience, including hiring, mentoring, coaching, and performance management.
Demonstrated hands-on experience using AI coding agents such as Claude Code, Cursor, GitHub Copilot, or similar to accelerate software testing and quality engineering.
Strong experience building automated testing frameworks using Playwright (preferred) or another modern end-to-end testing framework.
Experience with unit testing, API automation, integration testing, and CI/CD pipelines.
Strong understanding of cloud-native applications, AWS, and microservices architecture.
Ability to contribute to architectural discussions while remaining hands-on technically.
A track record of measurable impact, including reducing regression time, increasing automation coverage, improving release confidence, or reducing escaped defects.

Strongly Preferred

Experience building evaluation infrastructure for LLM-powered applications.
Experience with golden datasets, LLM-as-judge methodologies, prompt regression testing, tool-call validation, or AI evaluation frameworks.
Experience leading a team through the transition from traditional QA to AI-assisted or AI-agent-driven testing with measurable results.
Experience testing AI agents, MCP-based workflows, retrieval systems, or other LLM-powered applications.

Nice to Have

Experience with GitLab CI/CD.
Background supporting Java/Spring Boot microservices and React applications.
ISTQB, PMP, or similar quality or project management certifications.

Why This Role

Define the future of QA. Build an AI-first quality engineering organization from the ground up.
Real ownership. Shape strategy, tooling, hiring, and engineering standards with executive support.
Hands-on leadership. Continue writing code, reviewing automation, and solving technical challenges while leading a high-performing team.
Meaningful impact. Help modernize the engineering organization and influence how AI-powered products are built, tested, and released.
Stable company, long-term opportunity. Join a profitable software company making significant investments in AI and engineering modernization.
Remote flexibility. Competitive compensation and bonus opportunities for exceptional, hands-on AI quality engineering leaders.

Benefits

For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 07/23/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter . Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at [email protected] to make arrangements.

Apply Now

Refine Your Search

human resources technology manager jobs in remote

QA Engineering Manager | AI-First Quality Engineering

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