Principal Product Manager

About the role

ZoomInfo's Core Data team builds and maintains the person data that powers the Go-To-Market Intelligence Platform. The Principal Product Manager will own person data outcomes end to end and build the AI evaluation discipline that the whole Core Data team will run on. You will oversee data quality, coverage, and the privacy roadmap as part of this role.

What you'll do

• Own Person Data end to end by setting strategy, roadmap, and monthly priorities for contact data: accuracy, coverage, freshness, and compliance.
• Own the outcomes and the metrics that prove them, including cleaning bogus executive contacts and verifying employment through leadership extraction and person location.
• Partner with the existing Person Data product manager and with Privacy, Trust and Identity engineering to deliver the roadmap.
• Build and run the AI evaluation engine; define what correct means for each attribute the agent emits; curate golden sets and trap records; set gates for auto-accept, auto-reject, or human adjudication; track precision, recall, and drift.
• Drive the pivot from rules to agents by writing policy clauses, grading guides, and acceptance rules; retire legacy logic when the numbers say it is safe.
• Bring AI into the pipeline without compromising data quality; introduce models where they fit and keep classical tooling where it wins, considering cost, latency, determinism, and auditability.

What they're looking for

• 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: canonical IDs, match confidence, survivorship rules, precision vs recall trade-offs.
• Demonstrated, current use of AI to improve data systems and knowledge of bringing an LLM into production data processes.
• Experience designing evaluations for model output: golden sets, precision and recall, LLM-as-judge, human-in-the-loop routing, and drift monitoring.
• Comfort working in code: read a pipeline, write a prompt and a validator, run analysis in SQL or Python, and commit alongside engineers.

For applicants in Nigeria

• The listing indicates Remote work but does not specify Nigeria eligibility; confirm before applying.
• The listing does not state a timezone requirement; confirm expectations before interviewing.
• The listing does not specify whether roles are contractor or employee.
• The listing does not mention pay currency or salary range.
• The listing does not include visa or work-authorization notes.