Startups · AI

Director Engineering - Automation, Performance and AI Quality

NICE · USA - Sandy, UT · On-site

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About NICE

NICE helps practitioners and commissioners get the best care to patients, fast, while ensuring value for the taxpayer.

About the role

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives — building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Define and lead all AI-augmented quality initiatives across the organization
  • Deploy LLM-powered test generation, triage, and root-cause analysis tooling
  • Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
  • Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
  • Champion responsible AI testing practices, coverage standards, and governance models
  • Own the full automation strategy across UI, API, and integration layers
More about this role

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives — building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.

This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC — from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.

AI Quality Strategy

  • Define and lead all AI-augmented quality initiatives across the organization
  • Deploy LLM-powered test generation, triage, and root-cause analysis tooling
  • Build frameworks for validating AI/ML model...

Read the full posting on NICE's site ↗

CX - R&D Engineering

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