Why This Job is Featured on The SaaS Jobs
Why this Role is Featured on The SaaS Jobs
Quality leadership is becoming a defining capability for SaaS platforms that embed AI into core customer workflows, where product behavior is partly probabilistic and releases touch many enterprise integrations. This Director remit stands out because it spans classic enterprise SaaS reliability concerns, such as APIs, distributed systems, security and performance, alongside explicit ownership of AI and agentic testing approaches that are still emerging as a discipline.
For a SaaS career, the role offers leverage across the full delivery chain: setting quality strategy, establishing governance and metrics, and shaping how CI/CD gates translate into release confidence at scale. The emphasis on automation coverage, defect leakage reduction, and production feedback loops aligns with what mature SaaS operators use to balance iteration cadence with platform stability. Experience building evaluation frameworks for LLM driven experiences also travels well across modern SaaS categories adopting AI features.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Company:
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.
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Responsibilities:
Quality Strategy & Leadership:
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Define and execute the company-wide quality engineering strategy.
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Build and scale a high-performing global QA and Quality Engineering organization.
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Establish quality standards, governance, metrics, and release readiness frameworks.
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Drive a quality-first culture across Product, Engineering, and Delivery teams.
Test Automation & Engineering Excellence:
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Lead the design and implementation of scalable automated testing frameworks.
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Increase automation coverage across UI, API, integration, regression, and performance testing.
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Define best practices for CI/CD quality gates and release validation.
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Partner with Engineering to embed quality throughout the software development lifecycle.
AI & Agentic Testing:
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Develop testing frameworks for AI-powered agents, workflows, prompts, and LLM-driven experiences.
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Establish methodologies for evaluating accuracy, hallucinations, guardrails, safety, and reliability.
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Drive automated evaluation strategies for AI agent behavior and customer outcomes.
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Collaborate with Applied AI teams on model validation and production monitoring.
Enterprise Platform Quality:
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Ensure quality across APIs, integrations, workflows, web applications, and enterprise deployments.
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Lead performance, scalability, reliability, and security testing initiatives.
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Improve defect prevention and root-cause analysis processes.
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Establish production quality monitoring and feedback loops.
Metrics & Continuous Improvement:
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Define KPIs around release quality, defect leakage, automation coverage, customer-impacting incidents, and platform reliability.
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Analyze trends and implement continuous improvement initiatives.
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Drive operational excellence through data-driven decision-making.
Team Leadership:
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Recruit, mentor, and develop QA managers, automation engineers, and quality engineers.
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Build career frameworks and competency models for the quality organization.
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Foster a culture of ownership, innovation, and continuous learning.
Required Experience:
- 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.
Preferred Experience:
- 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.
Technical Expertise:
- Test Automation Frameworks
- API Testing
- Performance & Load Testing
- CI/CD Pipelines
- Cloud Platforms (AWS preferred)
- Microservices Architecture
- AI/LLM Testing Methodologies
- Security & Reliability Testing
Success Metrics:
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.
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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.
