Senior Product Manager, AI Data Foundation

ZoomInfo; Waltham (MA); On-site; USD 126,000 - 198,000; Full time

Job summary

ZoomInfo is seeking a Sr Product Manager, AI Data Foundation to own the data quality monitoring platform, self-service reporting capabilities, and internal tooling powering data research across the organization.

You will lead the intersection of AI, data quality, and platform product management, building systems that make ZoomInfo’s data teams faster, smarter, and more proactive. This role is critical to scaling data quality and empowering teams with tooling to move faster.

Qualifications

• 5+ years of product management experience with data products or data-intensive B2B SaaS.
• Demonstrated experience building data quality, monitoring, observability, or self-service analytics products.
• Proven ability to identify and ship AI/ML-powered product capabilities, particularly applied to data quality, automation, or workflow tooling.
• Strong understanding of data quality frameworks, metrics, anomaly detection, and the systems that produce and monitor data at scale.
• Platform and tooling product mindset with experience driving adoption across diverse internal user bases.
• Strong analytical skills with ability to independently define metrics, analyze data, and make data‑driven decisions.

Responsibilities

• 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

Skills

Product management

Data products

Observability

AI/ML capabilities

Data quality

Metrics & analytics

Cross-functional leadership

Communication

B2B SaaS

Tools

dbt

Snowflake

Databricks

Fivetran

Job description

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.

Sr 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.

What You’ll Do (Essential Functions)

• 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

What You Bring

Required Qualifications

• 5+ years of product management experience with a focus on data products, platforms, internal tooling, or data‑intensive B2B SaaS
• Demonstrated experience building data quality, monitoring, observability, or self‑service analytics products
• Proven ability to identify and ship AI/ML‑powered product capabilities, particularly applied to data quality, automation, or workflow tooling
• Strong understanding of data quality frameworks, metrics, anomaly detection, and the systems that produce and monitor data at scale
• Platform and tooling product mindset with experience driving adoption across diverse internal user bases
• Strong analytical skills with ability to independently define metrics, analyze data, and make data‑driven decisions
• Ability to solve complex technical problems in partnership with engineering and data science teams
• Excellent communication skills with ability to translate complex technical concepts for diverse audiences and write clear PRDs
• Proactive orientation – demonstrated ability to identify leverage opportunities across a portfolio, not just respond to inbound requests
• B2B SaaS experience, preferably in data platforms, developer tools, or data operations

Preferred Qualifications

• 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.)
• Experience building AI‑powered automation or self‑remediation capabilities
• Knowledge of data privacy regulations (GDPR, CCPA) and their product implications

Compensation

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. We want our employees and their families to thrive.

Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.

$126,000—$198,000 USD

About Us

ZoomInfo (NASDAQ: GTM) is the Go‑To‑Market Intelligence Platform that empowers businesses to grow faster with AI‑ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

Equal Employment Opportunity

ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

legal disclosure

For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.