Principal Product Manager Job New York New York USA,Software Development

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

Role Responsibilities WHO WE ARE

Agent Chaining and Orchestration: Develop and manage the architecture for chaining LLM agents, tools, models, and workflows across complex use cases. Ensure seamless orchestration, handoffs, state management, and integration across the platform.
Context Graph and Context Architecture: Lead the development of a shared Context Graph that gives agents persistent awareness of users, brands, accounts, workflows, capabilities, data, prior actions, goals, and outcomes. Define how context is captured, structured, retrieved, governed, and made available across agents and products.
Context Streaming Services: Implement and manage context streaming services that provide agents with real-time awareness of user actions, application state, system events, and relevant business data. Ensure context remains current, permission-aware, and usable across multi-step workflows.
Agent Telemetry and Observability: Define the telemetry framework required to understand how agents operate in production. Instrument and analyze intent routing, agent and tool selection, context utilization, handoffs, latency, errors, completion rates, confidence, user interventions, and business outcomes. Build the feedback loops necessary to continuously improve agent performance.
Agent Evaluation Suites: Build robust evaluation frameworks for testing agent quality, reliability, routing, context utilization, tool execution, and end-to-end workflow completion. Establish both offline and production evaluation methodologies that enable measurable improvements over time.
Model Workbench Development: Lead the creation of a Model Workbench designed for marketers and other non-technical users, enabling them to safely leverage LLMs, traditional ML, agents, and workflows without requiring deep technical expertise.
MCP Capability and Tool Registry: Oversee the registration, documentation, governance, and discoverability of Model Context Protocol servers, tools, agents, and platform capabilities. Ensure capabilities are easy for both developers and…