Senior Product Manager (AI Data Foundation)

ZoomInfo is seeking a Sr Product Manager, AI Data Foundation to own our data quality monitoring platform, self-service reporting capabilities, and the internal tooling that powers data research and analysis across the organization
In this role, you'll work at the intersection of AI, data quality, and platform product management - building systems that make ZoomInfo's data teams faster, smarter, and more proactive
The Sr PM, AI Data Foundation will be an evangelist and builder, not a reactive order-taker
You'll see across the full data portfolio, identify opportunities for extreme leverage, and drive AI-enabled solutions for data quality enhancement and self-remediation
This role is critical to ZoomInfo's ability to scale data quality at speed and empower teams with the tooling they need 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
Build and deliver self-service dashboards and reporting tools that give stakeholders real-time visibility into data health
Identify, prioritize, and ship AI-driven data quality enhancements and auto-remediation capabilities that reduce manual intervention at scale
Own the internal Data Tools roadmap, delivering tooling that meaningfully improves productivity for data researchers, analysts, and product managers
Partner with engineering and data science to develop AI-powered solutions for anomaly detection, root cause analysis, and self-healing data pipelines
Drive adoption of new tooling across data operations, engineering, and PM teams through evangelism, documentation, and enablement
Manage dependencies across data domains to ensure quality monitoring integrates seamlessly with upstream and downstream systems
Conduct discovery with internal stakeholders to uncover true tooling and workflow pain points beyond surface-level feedback
Benefits

Benefits for the Best You - We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being
Base Pay - We attract and retain the best talent with competitive compensation that aligns with industry benchmarks and merit programs yearly for promotions and salary increases based on performance, time in role, and position to market
Bonus - When you crush it, we like to celebrate! Bonuses are awarded annually in connection with company and individual performance
Equity - We offer each employee a generous equity award in the form of RSUs, so they can directly feel the results and success of their hard work
Vacation & Time Off - We know everyone's needs are different so we offer flexible paid time off plans including an unlimited vacation option for many employees
Hybrid Working Model - We offer flexible hybrid remote working models to promote equity, employee wellness, and work life balance
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

J-18808-Ljbffr