Staff QA Automation Engineer

Responsibilities

• Build quality as a system by designing automated testing frameworks that act as developer guardrails rather than downstream gates
• Redefine QA for AI systems by developing testing strategies for non-deterministic outputs and building evaluation frameworks for AI reliability
• Partner with Product and Sales to validate technical feasibility, data requirements, and cost-benefit trade-offs early in the lifecycle
• Own the data reality by mapping data flows across systems and identifying reliability issues within complex ecosystems
• Drive end-to-end delivery for AI-first engineering teams, breaking down work into actionable steps while maintaining high velocity
• Apply domain expertise in MarTech/AdTech and navigate healthcare data compliance requirements

Requirements

• Strong background in Quality Engineering, SDET, or technical delivery leadership
• Hands-on experience with test automation and CI/CD pipelines
• Strong SQL skills and the ability to work with complex, large-scale data systems
• Experience with AI-assisted development or ML/LLM-based systems
• Proven ability to move from data models to requirements and into comprehensive test strategies

Preferred Qualifications

• Experience in MarTech or AdTech ecosystems (identity, activation, measurement)
• Familiarity with healthcare data constraints and regulatory compliance
• Exposure to building or testing non-deterministic AI systems at scale

About the Company

Zeta Global is a leading AI-powered marketing technology company that enables enterprise brands to acquire, grow, and retain customers through intelligent, data-driven engagement. By combining a massive proprietary data set with advanced Artificial Intelligence, Zeta transforms billions of data signals into actionable marketing intelligence and measurable business outcomes.