Principal Product Manager, Person Data

The role

You will own the strategy for ZoomInfo's person data, covering hundreds of millions of contact records used by more than 35,000 customers. You will build the evaluation engine that decides whether AI agents' answers are good enough to publish, and move person attributes from rule-based selection to AI inference.

What you will do

• Own person data end to end: strategy, roadmap and monthly priorities for accuracy, coverage, freshness and compliance.
• Build and run the AI evaluation engine: define correct outputs, curate golden sets and trap records, set LLM-as-judge gates and confidence thresholds.
• Drive the move from rules to agents: shift person attributes to inference over full evidence, prove each step in shadow mode, and retire legacy logic.
• Choose where models fit and where classical tools win, weighing cost, latency, determinism and auditability.
• Solve entity resolution challenges, including person-to-company matching, wrong-company links and duplicate people.
• Own the person data privacy roadmap for suppression, opt-out and notification, with Legal and Privacy.
• Prototype adjudication agents, evals and analyses in code with the AI engineer and data science team.
• Partner with Person Data engineering, Match, Research, Data Science, Privacy and application teams, and present the roadmap to product and data leadership.

Required qualifications

• 8+ years of product management experience, including meaningful time owning data products or data platforms at scale
• Hands-on experience with data pipelines, ideally incremental or streaming rather than batch rebuilds
• Understanding of how records move from ingestion to a served dataset
• Direct experience with entity resolution, record linkage or matching systems, including canonical IDs, match confidence, survivorship rules and precision/recall trade-offs
• Current, demonstrated use of AI to improve data systems, including bringing an LLM into a production data process without accuracy degrading
• Experience designing evaluations for model output, including golden sets, precision and recall, LLM-as-judge, human-in-the-loop routing and production drift monitoring

Nice to have

• Experience with contact, person or identity data, or with B2B company data
• Familiarity with privacy regulation for published personal data (GDPR, CCPA, DNC and international notification regimes)
• Experience with Claude or comparable frontier models, agent frameworks and eval harnesses
• Background at an AI research lab or an AI-native data company

Benefits

• Comprehensive benefits
• Holistic mind, body and lifestyle programs for overall well-being

Before you apply

• ZoomInfo may use a software-based assessment as part of recruitment, with bias audit results available on its site
• ZoomInfo considers qualified candidates with criminal histories in accordance with legal requirements

About the company

ZoomInfo (NASDAQ: GTM) is an all-in-one AI go-to-market platform for sales, marketing and customer success teams. It draws on B2B data covering more than 100 million companies and 500 million contacts.