Senior Director, Product Management, Agentic Platform

ZoomInfo Technologies LLC•Remote-US, CA

2d•$192,920 - $303,160•Remote

About The Position

ZoomInfo has rebuilt itself around AI, and every agentic experience we ship runs on one shared platform — Copilot chat, agent teams, bots, GTM Studio, MarketingOS, and products that don't exist yet. As Senior Director of Product Management for the Agentic Platform, you'll be the right hand to our VP of Agents & Orchestration, owning the core primitives every agent depends on and the forward-looking R&D that keeps our agents ahead of what off-the-shelf models and frameworks can do. The best practices for agentic platforms are being written right now, and you'll help write them.

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

Nice To Haves

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

Responsibilities

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.
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.
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.
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.
Run a structured orchestration R&D program that tracks emerging research and moves the winners into production.
Identify and ship net-new platform capabilities that unlock new product surfaces and revenue, taking ideas from whiteboard sketch to production primitive.
Partner with engineering to make agent infrastructure production-grade — measurable on execution at scale, latency, cost per task, security, and compliance.
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.