[Hiring] Senior Director, Product Management, Agentic Platform @ZoomInfo

Role Description

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.

• 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.

Qualifications

• 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.

Requirements

• 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.

Company Description