Staff QA Automation Engineer

The role

You will define how an AI-first engineering team builds, validates and ships production software. The role covers quality, data and delivery as one system, with a focus on automated testing and AI reliability.

What you will do

• Build quality into developer behavior, not a downstream gate
• Design automated testing systems that act as guardrails
• Define and enforce what production-ready means
• Map how data flows across systems and integrations
• Assess feasibility, data requirements, trade-offs and cost of ideas
• Own delivery for AI-first engineering teams
• Develop testing strategies for AI-generated, non-deterministic systems
• Build evaluation frameworks for AI reliability and accuracy

Required qualifications

• Background in Quality Engineering, SDET or technical delivery leadership
• Hands-on experience with test automation and CI/CD pipelines
• Strong SQL skills
• Experience with AI-assisted development or ML/LLM-based systems
• Strong systems thinking across quality, data and delivery
• Experience improving engineering quality without becoming a bottleneck
• Confidence pushing back on unclear or unviable ideas
• Focus on production outcomes, not just releases

Nice to have

• Experience in MarTech or AdTech ecosystems
• Familiarity with healthcare data, compliance and constraints
• Exposure to building or testing AI-first or non-deterministic systems at scale

About the company

Zeta Global is a data-powered marketing technology company that combines a large proprietary data set with artificial intelligence to help brands acquire, grow and retain customers. It is publicly traded on the NYSE (ZETA).