[Hiring] Lead Software QA Engineer, AI Automation @Zeta Global

Role Description

This is a high ownership role where you shape how an AI-First team builds, validates, and ships production software.

• 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.

Qualifications

• You have likely outgrown traditional QA or delivery roles.
• You think in systems, not tickets.
• You can go from data model → product requirement → test strategy → delivery plan without handoffs.
• You are comfortable pushing back on Product and Sales when things do not make sense.
• You know how to make engineers better without becoming a bottleneck.
• You care deeply about what happens in production, not just what gets shipped.

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.

Benefits

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance
• And more!!