Lead Software QA Engineer, AI Automation

Zeta Global is an AI-Powered Marketing Cloud that aims to simplify sophisticated marketing through advanced artificial intelligence. They are seeking a Lead Software QA Engineer to drive quality, data, and delivery within an AI-first engineering organization, ensuring robust testing strategies and predictable delivery without compromising on quality.

Responsibilities:

• Make Quality a Built-In System, Not a Gate
• Turn quality into developer behavior, not a downstream function
• Teach engineers to anticipate failure modes, edge cases, and data issues before writing code
• Build automated test systems that act as guardrails, not overhead
• Define what “production-ready” actually means and enforce it through systems, not process
• Eliminate “hope-driven releases”
• Define What’s Buildable Before It Gets Built
• Partner with Sales and Product to pressure test ideas early
• Answer: Is this possible? With what data? At what cost? With what trade-offs?
• Translate ambiguity into clear execution plans engineers can run with
• Kill bad ideas early. Shape good ones into something buildable
• Own the Data Reality
• Map and understand how data actually flows, not how people think it flows
• Identify what data exists, what is missing, and what is unreliable
• Navigate internal systems and third-party integrations with confidence
• Ensure every feature is grounded in real, usable data, not assumptions
• Bring Domain Depth (MarTech / AdTech + Healthcare)
• Apply real-world understanding of identity, activation, measurement, and data constraints
• Operate within healthcare realities, including compliance and sensitivity of data
• Ensure what we build is not just technically correct, but market-relevant and viable
• Drive Delivery Like an Owner
• Run delivery for a team of AI-first engineers
• Break down work into clear, executable steps with no ambiguity
• Drive predictable delivery without slowing the team down
• Surface risks early and adjust before they become problems
• Align Product, Engineering, and GTM without friction
• Redefine QA for AI-First Development
• Build testing strategies for AI-generated and non-deterministic systems
• Validate outputs, not just code
• Create evaluation frameworks for AI reliability, accuracy, and behavior
• Ensure AI accelerates development without degrading quality

Requirements:

• Deep experience in quality engineering, SDET, or technical delivery leadership
• Strong hands-on experience with test automation and CI/CD systems
• Ability to query and reason across complex data systems (SQL required)
• Experience with AI-assisted development or ML/LLM-based systems
• Strong familiarity with MarTech / AdTech ecosystems, healthcare is a major plus