Senior Product Manager

Principal Product Manager, Person Data and AI Evaluations

ZoomInfo's Core Data team builds and maintains the person and company data that powers the Go-To-Market Intelligence Platform: hundreds of millions of contact records, resolved to the right person at the right company, kept accurate, and delivered to more than 35,000 customers.

The Opportunity

We are hiring a Principal Product Manager to own Person Data outcomes end to end and to build the AI evaluation discipline that the whole Core Data team will run on. You will carry that portfolio through the pivot from rule-based selection to agent-adjudicated records, and you will define how we know the new system is right.

Responsibilities

• Own Person Data end to end. Set the strategy, roadmap, and monthly priorities for ZoomInfo's contact data: accuracy, coverage, freshness, and compliance.
• Build and run the AI evaluation engine. Define what "correct" means for each attribute the agent emits.
• Drive the pivot from rules to agents. Move person attributes, one at a time, from deterministic selection to inference over full evidence.
• Bring AI into the pipeline without tanking the data. Introduce models where they earn their place and keep classical tooling where it wins.
• Own the privacy roadmap for person data , suppression, opt-out, and notification , with Legal and Privacy.
• Build with the team, hands on. Prototype adjudication agents, evals, and analysis in code with the AI engineer and data science.
• Drive cross-functional execution and communicate strategically.

Requirements

• 8+ years of product management experience, with meaningful time owning data products or data platforms at scale
• Hands-on experience with data pipelines, ideally incremental or streaming rather than batch rebuilds
• Direct experience with entity resolution, record linkage, or matching systems
• Demonstrated, current use of AI to improve data systems
• Experience designing evaluations for model output
• Comfort working in code
• Experience partnering closely with engineering and data science on complex, data-intensive systems
• Strong bias for action and a demonstrated ability to drive focus and finish work in a fast-moving, ambiguous, and frequently chaotic environment
• Excellent written and verbal communication

Preferred Qualifications

• Experience with contact, person, or identity data, or with B2B company data
• Familiarity with privacy regulation as it applies to published personal data
• Experience with Claude or comparable frontier models, agent frameworks, and eval harnesses
• Background at an AI research lab or an AI-native data company