Director of QA
Core
Architect and lead the quality engineering discipline into the AI era, owning automation infrastructure, performance engineering, and AI-driven quality initiatives to ensure product reliability at scale.
Role type
Director of Quality Engineering (AI-focused)
Builds
Scalable automation frameworks, AI-augmented test generation tooling, and enterprise-grade performance validation pipelines.
Domain
Enterprise Software / AI & Machine Learning / Quality Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Test automation architecture, performance engineering at scale, AI/ML system quality strategy, team leadership (10-40+ headcount), CI/CD pipeline integration, observability tooling, scripting (Python/TypeScript/Java), statistical testing concepts.
Preferred skills
Enterprise software domain experience (SaaS, CCaaS, fintech), experience with agentic workflows and LLM capabilities in testing, managing multi-team orgs with both ICs and architects.
Technologies
Jenkins, GitHub Actions, k6, JMeter, Gatling, Datadog, Grafana, Dynatrace, New Relic, GitHub Copilot, Claude, Cursor.
Responsibilities
Define AI-augmented quality strategy and deploy LLM-powered test generation; architect scalable test frameworks and drive shift-left testing; lead performance and load testing strategy and define SLOs/SLAs; lead and grow teams of automation and performance engineers; partner cross-functionally with Product, DevOps, and R&D leadership.
Seniority
Director, hands-on engineering leader with direct reports