Remote QA Leader: AI-Driven Quality & Automation

Sphera

United States

Remote

USD 130,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Remote work
Career growth opportunities

Job summary

Sphera is seeking a QA Manager to lead quality assurance across multiple product lines and concurrent projects. You’ll own QA execution, team leadership, and drive continuous improvement with cross-functional partners to ensure high-quality releases.

This hands-on management role requires coaching a team of QA engineers, coordinating with Engineering Managers, Product Owners, and stakeholders to deliver reliable, scalable, and AI-enabled quality practices across the portfolio.

Qualifications

  • Proven experience leading QA for multiple product lines.
  • Strong background in automation strategy and tooling decisions.
  • Experience transitioning teams from manual to automated testing.
  • Excellent communication with technical and non-technical stakeholders.

Responsibilities

  • Lead QA engineers across product lines, providing coaching and career development.
  • Define QA strategy, risk-based coverage, and release testing plans.
  • Balance automation investment with test coverage effectiveness.
  • Drive AI‑assisted testing ideas and AI DLC initiatives.
  • Manage QA activities across full release lifecycles with cross-functional partners.
  • Establish quality metrics and transparent status reporting.

Skills

QA Leadership
Test Automation
AI in QA
Stakeholder Communication
Risk-based Testing
Coach/Mentor
AI DLC awareness
Multi-product QA

Tools

Selenium
Jenkins
Azure DevOps

Job description

Sphera is seeking a QA Manager to lead quality assurance across multiple product lines and concurrent projects. You’ll own QA execution, team leadership, and drive continuous improvement with cross-functional partners to ensure high-quality releases.

This hands-on management role requires coaching a team of QA engineers, coordinating with Engineering Managers, Product Owners, and stakeholders to deliver reliable, scalable, and AI-enabled quality practices across the portfolio.

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