[Hiring] Principal Product Manager, Agentic Orchestration @ZoomInfo Technologies

Role Description

ZoomInfo isn't adding AI to our products—we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do.

This role owns the agentic tools ecosystem—the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap.

When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge, new integration patterns prove themselves, and new orchestration primitives unlock capabilities that seemed impossible months ago.

You'll operate at this frontier—evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits.

Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features—they compound.

What You'll Do

• Own the Agentic Tools Platform
• Architect Integration Strategy
• Drive Agentic Execution Excellence
• Enable Internal Tool Development
• Navigate the Agentic Frontier
• Orchestrate Cross-Functional Execution

Qualifications

• 4-6 years of product management experience with 2+ years focused on AI/ML infrastructure, developer platforms, or integration products
• Direct experience with production agentic systems—you've shipped products where LLMs invoke tools, not just generate text
• Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns)
• Track record building platform products where engineering teams are your customers
• Experience with integration architecture—APIs, webhooks, authentication patterns, rate limiting, error handling at scale
• History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices

What You'll Bring

• Applied AI Practitioner
• Context Engineering Intuition
• Integration Systems Thinker
• Platform Product Mindset
• Intellectual Velocity
• Strategic Communication