AI-Driven Quality Engineering Manager
Libra Solutions, LP
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Benefits offered by this job
Job summary
Libra Solutions seeks an experienced Manager, AI-Native Quality Engineering to lead a team focused on AI-powered test automation, regression efficiency, and release quality practices. This role collaborates closely with Engineering, Product, DevOps, and Release stakeholders to improve software delivery and build confidence in product quality.
The ideal candidate will drive AI-enabled automation, mentor engineers, and oversee testing across API, UI, integration, and end-to-end workflows to ensure
Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent professional experience.
- 7+ years of experience in software QA, quality engineering, or test automation.
- 2+ years of people management or team leadership experience.
- Strong hands-on experience building, maintaining, and scaling automated tests.
- Experience evaluating AI assistants to accelerate test automation and improve workflows.
Responsibilities
- Lead a team of quality engineers, automation engineers, and testers.
- Drive AI-powered test automation across API, UI, integration, and end-to-end tests.
- Strengthen release readiness and quality outcomes through process improvements.
- Partner with Engineering, Product, DevOps, and Release stakeholders.
- Define quality metrics and drive continuous improvement initiatives.
Skills
Education
Tools
Job description
Libra Solutions seeks an experienced Manager, AI-Native Quality Engineering to lead a team focused on AI-powered test automation, regression efficiency, and release quality practices. This role collaborates closely with Engineering, Product, DevOps, and Release stakeholders to improve software delivery and build confidence in product quality.
The ideal candidate will drive AI-enabled automation, mentor engineers, and oversee testing across API, UI, integration, and end-to-end workflows to ensure
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