Go-to-Market Intelligence & Automation Lead
Remote - United States
WHO WE AREZeta 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
The Go-to-Market Intelligence Automation Lead is a strategic, systems-minded role that sits at the intersection of business needs, technical implementation, and productized intelligence
. You will help architect and operationalize a scalable automation engine that powers how intelligence is built, packaged, and delivered—turning high-value insight delivery into repeatable, efficient workflows that accelerate action and deepen impact.
As a key owner of our automation and enablement infrastructure, you’ll serve as a central point of contact across Intelligence, Analytics, Applications, Product, and GTM stakeholders—ensuring that priorities are translated into clear requirements, aligned to a roadmap, and delivered through intuitive, automated solutions. This role also supports the evolution of AI-enabled workflows (including AI agents and embedded intelligence tooling) to strengthen consistency, speed, and storytelling at scale.
The ideal Automation Lead is a process and systems thinker who enjoys building scalable ways of working—and can move comfortably between strategy, requirements, and execution detail. In addition, you have:
- Strong stakeholder management: you can be the “hub” that keeps priorities, requirements, and delivery aligned
- Strong analytical and structured thinking; ability to distill complexity into clear requirements and frameworks
- Comfort operating in both ambiguous problem spaces and execution-level detail
- Intelligence Automation Strategy & Roadmap Ownership
- Own and evolve the roadmap for scalable intelligence delivery—including automation frameworks, reusable components, and insight packages used across teams and verticals.
- Identify high-impact opportunities to reduce delivery time and increase quality through automation, modular frameworks, and standardized workflows.
- Surface friction points, unmet needs, and whitespace opportunities—translating them into clear improvements and roadmap initiatives.
- Use Case Translation & Requirements Leadership
- Serve as the connective tissue between GTM strategy and technical execution—translating use cases into clear business requirements
, logic, and workflow designs. - Partner with Product, Analytics, and Applications teams to shape design, implementation, and deployment of scalable solutions.
- Ensure alignment across teams on definitions, inputs/outputs, and success metrics—so intelligence is consistent, trusted, and easy to adopt.
- Serve as the connective tissue between GTM strategy and technical execution—translating use cases into clear business requirements
- AI-Enabled Intelligence Delivery
- Help integrate AI-enabled workflows into intelligence delivery (e.g., automated insight narration, pattern surfacing, QA assist, template-driven storytelling, and AI-agent supported workflows).
- Support feedback loops to continuously improve intelligence tooling, AI-assisted workflows, and delivery experiences—balancing speed with quality and governance.
- Enablement, Adoption & Operational Excellence
- Own and refine enablement infrastructure:
intake processes, templates, documentation, and knowledge hubs that support scalable execution. - Improve usability and adoption of Data Cloud tools and intelligence products through process refinement and consultative support.
- Support cross-functional initiatives related to internal tooling, platform integrations, and operational consistency.
- Support select pre-sales or…
- Own and refine enablement infrastructure:
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