Principal PM, AI Data & Evaluation Platform

ZoomInfo Technologies LLC

Waltham (MA)

On-site

USD 152,000 - 239,000

Full time

14 days+

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Job summary

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 manage data quality, coverage, freshness, and privacy while transitioning from rule-based selection to agent-adjudicated records.

In this role you will define evaluation criteria, curate gold sets, set confidence thresholds, and measure precision, recall, and drift in production, collaborating with Privacy, Trust and Identity

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.

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.
  • Curate golden sets and trap records with our research team, stand up LLM-as-judge gates, set the confidence thresholds that route a record to auto‑accept, auto‑reject, or human adjudication, and track precision, recall, and drift in production.

Skills

Product management
Data pipelines
Entity resolution
AI in data products
Cross-functional leadership
SQL
Python
Communication

Tools

Claude

Job description

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 manage data quality, coverage, freshness, and privacy while transitioning from rule-based selection to agent-adjudicated records.

In this role you will define evaluation criteria, curate gold sets, set confidence thresholds, and measure precision, recall, and drift in production, collaborating with Privacy, Trust and Identity

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