Senior Product Manager

Role Description

GTM Studio is ZoomInfo's AI application built for revenue operators, GTM engineers, and builders to assemble the next generation of go-to-market systems. We need a Senior Product Manager to own features across Audience building, AI enrichment, and AI orchestration, and to build the best-in-class GTM orchestration tool for revenue operators.

This is a role for someone who has built go-to-market systems themselves. You've worked deep in the revenue tech stack and know what breaks when data is stale, enrichment fails, or a workflow meets real customer complexity. You believe in AI-ready systems because you know firsthand what it actually takes to make AI work in production.

What You'll Do

• Own features across Audiences, AI Enrichment, and AI Orchestration.
• Drive the roadmap for core capabilities inside GTM Studio, from how customers build and query audiences to how AI enriches and acts on that data.
• Bridge data and applications.
• Bring together data across the entire customer data ecosystem — ZoomInfo's own data assets plus the broader revenue tech stack our customers already run on.
• Champion the discipline of data operators: people who understand that good go-to-market systems live or die on the quality, freshness, and structure of the data underneath them.
• Partner with sophisticated solutions architects and customers.
• Work hands-on with our most technical solutions teams and our most demanding customers to design and ship a go-to-market orchestration tool built for revenue operators, not just casual users.
• Bring deep revenue tech stack fluency.
• Maintain strong working knowledge of the revenue tech stack — CRM, marketing automation, sales enablement, sales engagement, and everything in between.
• Use that knowledge to design integrations and workflows that fit how revenue teams actually operate.
• Maintain a sharp, current view of the competitive landscape (including Clay and adjacent players) so GTM Studio's roadmap is built to win, not just to ship.
• Understand revenue tech systems and the role of data within them.
• Bring real acumen about how data flows through revenue systems, and use that understanding to prioritize the features that matter most to teams trying to scale.
• Drive cross-functional execution.
• Act as the hub connecting data, engineering, AI platform, design, solutions, and web application teams to launch products for revenue operators.
• Translate between technical constraints and GTM outcomes and keep every team pointed at the same roadmap.
• Communicate strategically.
• Represent the roadmap and its rationale clearly across product and engineering leadership and cross-functional stakeholders throughout the organization.

Qualifications

• 5+ years of product management experience, ideally at high-growth B2B SaaS companies.
• Direct, hands-on experience building or implementing go-to-market systems — CRM, marketing automation, sales enablement, or sales engagement platforms — as an operator, not just an observer.
• A track record of shipping in fast, agile environments, with the judgment to balance speed against long-term platform quality.
• Strong technical fluency with data platforms, APIs, and integrations; comfort partnering closely with engineering on complex, data-intensive products.
• Genuine enthusiasm for applied AI — you've used AI-powered tools to solve real GTM problems and have a point of view on where agentic workflows create real leverage versus where they don't.
• Deep empathy for the RevOps, sales, and marketing personas who live inside these systems every day.
• Experience navigating ambiguity and driving alignment across product, engineering, design, and go-to-market teams.
• Excellent written and verbal communication skills, with the ability to flex between technical depth and executive-level narrative.

Who You Are

• An applied practitioner.
• You've built go-to-market products and used real go-to-market tech yourself.
• You know the difference between a feature that looks good in a slide and one that survives a revenue operator's actual workflow.
• A data operator at heart.
• You understand that enrichment, orchestration, and every downstream AI capability are only as good as the data feeding them.
• You treat data quality as a first-class product concern, not an afterthought.
• A believer in AI-ready systems.
• You're excited about what AI orchestration and agentic workflows can unlock for GTM teams.
• You know from firsthand experience what it actually takes to make AI work reliably in production — not just in a demo.
• A builder of bridges.
• You move comfortably between data teams, engineers, AI platform teams, and the field.
• You translate what customers need into what gets built, and back again.

Benefits

• ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs.