Senior Product Manager, AI Data Foundation

<div class="content-intro"><p>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.</p></div><p>&nbsp;</p> <p>ZoomInfo is seeking a <strong>Sr Product Manager, AI Data Foundation</strong> 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.</p> <p>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.</p> <h2>What You'll Do (Essential Functions)</h2> <ul> <li>Own end-to-end product strategy for data quality monitoring, self-service reporting, and the internal Data Tools platform</li> <li>Proactively identify opportunities across the data portfolio where tooling and automation can create extreme leverage for data teams, PMs, and analysts</li> <li>Define and standardize metrics and KPIs for data quality, coverage, accuracy, and freshness across all data domains</li> <li>Build and deliver self-service dashboards and reporting tools that give stakeholders real-time visibility into data health</li> <li>Identify, prioritize, and ship AI-driven data quality enhancements and auto-remediation capabilities that reduce manual intervention at scale</li> <li>Own the internal Data Tools roadmap, delivering tooling that meaningfully improves productivity for data researchers, analysts, and product managers</li> <li>Partner with engineering and data science to develop AI-powered solutions for anomaly detection, root cause analysis, and self-healing data pipelines</li> <li>Drive adoption of new tooling across data operations, engineering, and PM teams through evangelism, documentation, and enablement</li> <li>Manage dependencies across data domains to ensure quality monitoring integrates seamlessly with upstream and downstream systems</li> <li>Conduct discovery with internal stakeholders to uncover true tooling and workflow pain points beyond surface-level feedback</li> </ul> <h2>What You Bring</h2> <p><strong>Required Qualifications</strong></p> <ul> <li>5+ years of product management experience with a focus on data products, platforms, internal tooling, or data-intensive B2B SaaS</li> <li>Demonstrated experience building data quality, monitoring, observability, or self-service analytics products</li> <li>Proven ability to identify and ship AI/ML-powered product capabilities, particularly applied to data quality, automation, or workflow tooling</li> <li>Strong understanding of data quality frameworks, metrics, anomaly detection, and the systems that produce and monitor data at scale</li> <li>Platform and tooling product mindset with experience driving adoption across diverse internal user bases</li> <li>Strong analytical skills with ability to independently define metrics, analyze data, and make data-driven decisions</li> <li>Ability to solve complex technical problems in partnership with engineering and data science teams</li> <li>Excellent communication skills with ability to translate complex technical concepts for diverse audiences and write clear PRDs</li> <li>Proactive orientation - demonstrated ability to identify leverage opportunities across a portfolio, not just respond to inbound requests</li> <li>B2B SaaS experience, preferably in data platforms, developer tools, or data operations</li> </ul> <p><strong>Preferred Qualifications</strong></p> <ul> <li>Experience with data observability, data catalog, or data governance platforms</li> <li>Background in data engineering, analytics engineering, or data science prior to product management</li> <li>Familiarity with modern data stack tooling (dbt, Snowflake, Databricks, Fivetran, etc.)</li> <li>Experience building AI-powered automation or self-remediation capabilities</li> <li>Knowledge of data privacy regulations (GDPR, CCPA) and their product implications</li> </ul> <p>&nbsp;</p> <p><span style="font-weight: 400;">#LI-AP3</span></p> <p><span style="font-weight: 400;">#LI-Hybrid</span></p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.</p> <p>In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits <a class="c-link" href="https://www.zoominfo.com/careers#benefits" target="_blank" data-stringify-link="https://www.zoominfo.com/careers#benefits" data-sk="tooltip_parent">here</a>.</p></div><div class="title">Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.</div><div class="pay-range"><span>$151,900</span><span class="divider">&mdash;</span><span>$238,700 USD</span></div></div></div><div class="content-conclusion"><p><strong>About us:</strong>&nbsp;</p> <p>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.</p> <p>ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant <a href="https://drive.google.com/file/d/1yiG-k0YX_sW10PiJk_xliDc3W-veJCrK/view?usp=drive_link" target="_blank">Privacy Notice</a> for more details on how we handle your personal information.</p> <p>ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available <a href="https://www.zoominfo.com/legal/nyc-local-law-144-notice" target="_blank">here</a>.</p> <p>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.</p> <p>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.</p></div>