Staff Software Engineer

About this role

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 www.zetaglobal.com . The Role We're hiring multiple Staff Engineers to join a small, high-performance group supporting the engineering organizations behind Sailthru, LiveIntent, and WhatCounts — the three platforms that make up Zeta Actions, a business unit within Zeta Global.

This is a deeply technical IC role. You'll spend most of your time in the code, the architecture, and the hard problems these teams run into as they build and operate platforms that serve brands and publishers at massive scale. Staff Engineers engage with teams in a few different ways — as a technical partner on complex projects, as a hands-on contributor to high-priority initiatives, or as an on-demand expert for teams that hit an architectural wall.

The common thread is that you're someone teams want in the room when things get hard. Why This Role Real scale, real complexity — billions of messages, live traffic, meaningful performance and reliability constraints. Generative AI is part of how we work — we've adopted AI-assisted development across the engineering organization and expect our staff engineers to be fluent in these tools, not just aware of them. Active investment in AI engineering — you'll help shape how we build AI capabilities into the platform itself, not just use them in your own workflow.