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