Director, AI Quality & Automation Performance

NiCE; Sandy (UT); On-site; USD 180,000 - 260,000; Full time

Job summary

NiCE is seeking a visionary engineering leader to architect and guide the quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and AI-driven quality initiatives, building high-performing teams that redefine how software is validated at scale.

You will champion AI testing practices, drive governance, and partner with Product, DevOps, and R&D leadership to align engineering velocity with product reliability.

Qualifications

• 12+ years in software engineering or QA, with 5+ years in engineering leadership at the Director level or senior Staff+.
• Deep hands-on background in test automation architecture — built frameworks from scratch.
• Proven track record leading performance engineering at scale (10,000+ concurrent users, distributed systems).
• Experience shipping or operating AI/ML systems and understanding the quality challenges they introduce.
• Prior success managing multi-team orgs with IC engineers and architects (10–40+ headcount).
• Enterprise software domain experience preferred (SaaS, fintech, or regulated environments).

Responsibilities

• Define and execute AI-augmented quality initiatives across the organization.
• Own automation strategy across UI, API, and integration layers.
• Lead performance testing strategy and reliability thresholds.
• Build scalable test frameworks and CI/CD integration.
• Grow and mentor automation engineers and architects; set technical direction.

Skills

Leadership

Quality engineering

Automation architecture

Performance testing

AI in QA

CI/CD

SRE collaboration

Test automation

Tools

Jenkins

GitHub Actions

k6

JMeter

Gatling

Datadog

Grafana

New Relic

Job description

NiCE is seeking a visionary engineering leader to architect and guide the quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and AI-driven quality initiatives, building high-performing teams that redefine how software is validated at scale.

You will champion AI testing practices, drive governance, and partner with Product, DevOps, and R&D leadership to align engineering velocity with product reliability.