Lead Software QA Engineer, AI Automation

WHO WE ARE

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

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

• 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

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
• 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. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:


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