Director, Quality Engineering & AI Testing

Quality Strategy & Leadership:

• 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.

Test Automation & Engineering Excellence:

• Lead the design and implementation of scalable automated testing frameworks.

• Increase automation coverage across UI, API, integration, regression, and performance testing.

• Define best practices for CI/CD quality gates and release validation.

• Partner with Engineering to embed quality throughout the software development lifecycle.

AI & Agentic Testing:

• Develop testing frameworks for AI-powered agents, workflows, prompts, and LLM-driven experiences.

• Establish methodologies for evaluating accuracy, hallucinations, guardrails, safety, and reliability.

• Drive automated evaluation strategies for AI agent behavior and customer outcomes.

• Collaborate with Applied AI teams on model validation and production monitoring.

Enterprise Platform Quality:

• Ensure quality across APIs, integrations, workflows, web applications, and enterprise deployments.

• Lead performance, scalability, reliability, and security testing initiatives.

• Improve defect prevention and root-cause analysis processes.

• Establish production quality monitoring and feedback loops.

Metrics & Continuous Improvement:

• Define KPIs around release quality, defect leakage, automation coverage, customer-impacting incidents, and platform reliability.

• Analyze trends and implement continuous improvement initiatives.

• Drive operational excellence through data-driven decision-making.

Team Leadership:

• Recruit, mentor, and develop QA managers, automation engineers, and quality engineers.

• Build career frameworks and competency models for the quality organization.

• Foster a culture of ownership, innovation, and continuous learning.

• 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.

Within the first 12 months, this leader will:

• Significantly improve automation coverage across the platform.
• Reduce escaped defects and production incidents.
• Establish a scalable AI testing and evaluation framework.
• Improve release velocity while maintaining high quality standards.
• Build a world-class Quality Engineering organization aligned with Netomi's growth objectives.