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Lead Software QA Engineer, AI AutomationZeta Global • New York, New York, United States
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Lead Software QA Engineer, AI Automation

Zeta Global
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Apply Now

About

Lead Software QA Engineer, AI Automation Remote - United States
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com .
Why This Role Exists Most teams slow down to achieve quality. We believe the opposite: quality is what enables speed.
We are building an AI-first engineering organization where developers ship fast, confidently, and continuously. That only works if someone owns the system of how quality, data, and delivery come together.
That someone is you.
This is not QA. This is not project management. This is a high ownership role where you shape how an AI-First team builds, validates, and ships production software.
What You Will Own Make Quality a Built-In System, Not a Gate
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
What Makes You a Strong Fit
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
Your Background Likely Includes
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
What Success Looks Like
Engineers ship to production with confidence, not hesitation
Bugs are caught before customers ever see them
Automated tests are trusted, fast, and low maintenance
Discovery is grounded in data reality, not assumptions
Delivery is predictable without heavy process
The team moves fast because quality is built in, not added later
Why You Should Join
You will define how an AI‑first engineering organization actually operates
You will have real ownership across quality, data, and delivery
You will work on high‑impact MarTech / AdTech problems in healthcare
You will operate in a team that values speed, clarity, and production outcomes
Bottom Line If you want to: Move beyond QA as a function; Operate as a force multiplier for an engineering team ; Build systems that let teams ship fast without breaking things and This role is for you.
BENEFITS & PERKS
Unlimited PTO
Excellent medical, dental, and vision coverage
Employee Equity
Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
SALARY RANGE The salary range for this role is $150,000 - $200,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. Learn more about our commitment to diversity, equity and inclusion at https://zetaglobal.com/blog/a-look-into-zetas-ergs/
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  • New York, New York, United States

Languages

  • English
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