Director Engineering - Automation, Performance and AI Quality

📋 Description

• 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

🎯 Requirements

• 12+ years in software engineering or QA, with 5+ years in engineering leadership at the Director
• Deep hands-on background in test automation architecture — you've built frameworks from scratch
• Proven track record leading performance engineering at scale (10,000+ concurrent users, distributed
• Experience shipping or operating AI/ML systems and understanding the unique quality challenges they
• Prior success managing multi-team orgs with both IC engineers and architects (10–40+ total
• Enterprise software domain experience strongly preferred (SaaS, CCaaS, fintech, or similar