Head of QA

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!We are seeking a highly experienced Director of Quality Engineering & AI Testing to lead our global quality organization and establish world-class testing practices for enterprise SaaS and AI-driven products.

This leader will be responsible for building quality strategy, scaling test automation, improving release confidence, and driving reliability across platform, AI, and customer-facing solutions. The ideal candidate combines deep expertise in software quality engineering with modern approaches to AI testing, automation, and continuous delivery.

This role will partner closely with Engineering, Product Management, Applied AI, Customer Success, and Delivery teams to ensure Netomi delivers highly reliable, scalable, and secure enterprise-grade solutions.

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.

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.

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.

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.

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.

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.

Experience with AI, Generative AI, Conversational AI, Agentic AI, or Machine Learning products.

Experience designing testing strategies for LLM-based applications.

Familiarity with prompt evaluation, model validation, and AI quality metrics.

Experience working with enterprise customers and large-scale deployments.

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.

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.Originally posted on Himalayas

- 10+ years of experience in software quality engineering, with at least 5 years in a leadership role managing global QA teams

- Proven expertise in building and scaling test automation frameworks for UI, API, integration, and regression testing

- Deep understanding of AI testing methodologies, including validation of AI-driven products and agentic systems

- Experience defining quality strategy, metrics, governance, and release readiness processes

- Ability to drive a quality-first culture and collaborate cross-functionally with Engineering, Product, Applied AI, Customer Success, and Delivery teams

- Excellent communication and stakeholder management skills, with experience working with global teams

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)