Lead, AI-Driven Person Data & Evaluation

Openkrill; United States; À distance; USD 180 000 - 260 000; Plein temps

Résumé du poste

ZoomInfo is seeking a Principal Product Manager to own Person Data outcomes end to end and to build the AI evaluation discipline for the Core Data team. You will drive the pivot from rule-based selection to agent-adjudicated records, manage data quality and extraction, and define how the new system is validated against a gold standard.

You will work closely with Privacy, Trust and Identity engineering to deliver the roadmap, curate golden sets, and ensure accuracy, coverage, and compliance while

Qualifications

• 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.

Responsabilités

• 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.
• Curate golden sets and trap records with our research team, stand up LLM-as-judge gates, set confidence thresholds, and track precision, recall, and drift in production.
• Drive the pivot from rules to agents. Move person attributes from deterministic selection to inference over full evidence, write policy clauses, and retire legacy logic when safe.
• Bring AI into the pipeline without tanking the data; introduce models where they earn their place and keep classical tooling where it wins.

Connaissances

Product management

Data pipelines

Entity resolution

AI in data systems

Communication

Outils

Claude

SQL

Python

Description du poste

ZoomInfo is seeking a Principal Product Manager to own Person Data outcomes end to end and to build the AI evaluation discipline for the Core Data team. You will drive the pivot from rule-based selection to agent-adjudicated records, manage data quality and extraction, and define how the new system is validated against a gold standard.

You will work closely with Privacy, Trust and Identity engineering to deliver the roadmap, curate golden sets, and ensure accuracy, coverage, and compliance while