Senior Director, Product Management, Agentic Platform

ZoomInfo is a Go-To-Market Intelligence Platform that provides AI-ready insights, trusted data, and automation to help businesses grow. The Senior Director of Product Management will own the strategy, roadmap, core capabilities, and research direction for ZoomInfo's Agentic Platform while partnering with engineering and data science. The role will also build and lead a team of senior and principal product managers.

Responsibilities:

• You will set the multi-year Agentic Platform strategy and turn it into a roadmap that balances reliability, speed for product teams, and bets on the frontier
• You will own core platform primitives — multi-agent orchestration, planning and execution runtimes, memory and context management, tool and MCP infrastructure, guardrails, and observability — and define the abstractions that let product teams compose new agents quickly
• You will lead the product side of custom model training and fine-tuning on ZoomInfo's proprietary data, deciding where custom models create lasting advantage versus frontier models
• You will build the decisioning-model layer that lets agents choose the right action, partnering with data science to turn ZoomInfo's signals into models agents invoke as first-class capabilities
• You will run a structured orchestration R&D program that tracks emerging research and moves the winners into production
• You will identify and ship net-new platform capabilities that unlock new product surfaces and revenue, taking ideas from whiteboard sketch to production primitive
• You will partner with engineering to make agent infrastructure production-grade — measurable on execution at scale, latency, cost per task, security, and compliance
• You will build and grow a team of senior and principal PMs, hiring for technical depth and ownership and developing leaders who run their own areas with the same bar you hold

Requirements:

• At least 10 years building technical products, including at least 3 years leading teams of PMs or running a company
• Deep, hands-on experience with production agentic systems — agents that plan, invoke tools, and take real actions, not just chat interfaces
• A track record of taking an AI or agentic product from 0→1, either as a founder or as the product leader who owned it end to end
• Fluency across the modern agentic stack, including orchestration frameworks (LangGraph, CrewAI, or custom), MCP and tool-calling patterns, RAG and memory architectures, and evals and observability
• Enough technical depth to review architecture docs, read agent traces, and prototype in code yourself
• Working knowledge of model development, including fine-tuning, post-training, evaluation design, and the economics of custom versus frontier models
• Experience building platform products where engineering and product teams are your customers
• Experience shipping decisioning, ranking, or recommendation models into production
• Experience in B2B, GTM, or data platform businesses