Principal Product Manager (AI Evaluation and Data Policy)

Join ZoomInfo as a Senior Product Manager, AI Data Foundation. In this role, you will own the data quality monitoring platform, self-service reporting capabilities, and internal tooling for data research and analysis. You will work at the intersection of AI, data quality, and platform product management, driving AI-enabled solutions for data quality enhancement and self-remediation. This role is critical to ZoomInfo's ability to scale data quality and empower teams with the necessary tools to move faster.

- Own end-to-end product strategy for data quality monitoring, self-service reporting, and the internal Data Tools platform. - Proactively identify opportunities across the data portfolio where tooling and automation can create extreme leverage for data teams, PMs, and analysts. - Define and standardize metrics and KPIs for data quality, coverage, accuracy, and freshness across all data domains.

- 5+ years of product management experience with a focus on data products, platforms, internal tooling, or data-intensive B2B SaaS - Strong analytical skills with ability to independently define metrics, analyze data, and make data-driven decisions - Strong understanding of data quality frameworks, metrics, anomaly detection, and the systems that produce and monitor data at scale - B2B SaaS experience, preferably in data platforms, developer tools, or data operations - Demonstrated experience building data quality, monitoring, observability, or self-service analytics products - Ability to solve complex technical problems in partnership with engineering and data science teams - Proactive orientation - demonstrated ability to identify leverage opportunities across a portfolio, not just respond to inbound requests - Platform and tooling product mindset with experience driving adoption across diverse internal user bases - Excellent communication skills with ability to translate complex technical concepts for diverse audiences and write clear PRDs - Proven ability to identify and ship AI/ML-powered product capabilities, particularly applied to data quality, automation, or workflow tooling - Experience with data observability, data catalog, or data governance platforms - Background in data engineering, analytics engineering, or data science prior to product management - Familiarity with modern data stack tooling (dbt, Snowflake, Databricks, Fivetran, etc.) - Knowledge of data privacy regulations (GDPR, CCPA) and their product implications - Experience building AI-powered automation or self-remediation capabilities