Director of QA & AI Testing Excellence

Netomi

United States

Remote

USD 180,000 - 260,000

Full time

10 days ago

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Job summary

Netomi is seeking a highly experienced Director of Quality Engineering & AI Testing to lead our global QA organization and establish world-class testing practices for enterprise SaaS and AI-driven products. This leader will drive quality strategy, scalable test automation, and reliable release validation across platform, AI, and customer-facing solutions.

Collaborating with Engineering, Product Management, Applied AI, Customer Success, and Delivery teams, you will build a quality-driven

Qualifications

  • 12+ years of experience in Software Quality Assurance, Quality Engineering, or Testing.
  • 5+ years of leadership experience managing global QA organizations.
  • Experience leading quality functions within enterprise SaaS companies.
  • Strong background in test automation, CI/CD, and modern engineering practices.
  • Experience testing distributed systems, APIs, cloud-native applications, and enterprise integrations.
  • Proven track record of scaling quality organizations in high-growth environments.

Responsibilities

  • Define and execute the company-wide quality engineering strategy.
  • Build and scale a high-performing global QA and Quality Engineering organization.
  • Establish quality standards, governance, metrics, and release readiness frameworks.
  • Drive a quality-first culture across Product, Engineering, and Delivery teams.

Skills

Quality leadership
QA strategy
Automation engineering
AI testing
Team leadership
CI/CD
API testing
Performance testing
Security testing

Tools

CI/CD tools
Cloud AWS
API testing tools
Automation frameworks
Security testing tools

Job description

Netomi is seeking a highly experienced Director of Quality Engineering & AI Testing to lead our global QA organization and establish world-class testing practices for enterprise SaaS and AI-driven products. This leader will drive quality strategy, scalable test automation, and reliable release validation across platform, AI, and customer-facing solutions.

Collaborating with Engineering, Product Management, Applied AI, Customer Success, and Delivery teams, you will build a quality-driven

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