Principal Product Manager- Company Data
ZoomInfoBethesda, Maryland, United States; Remote; Vancouver, Washington, United States; Waltham, Massachusetts, United StatesPosted 7 April 2026
Tech Stack
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.
ZoomInfo is seeking a Principal Product Manager, Company Data to lead our company data strategy and execution, focusing on delivering our next generation company/account data creation pipeline. In this role, you'll own end-to-end product strategy for company data that serves millions of users and drives billions in revenue, working at the intersection of data science, large-scale data processing, and customer-facing experiences.
The Principal PM, Company Data will define multi-year vision while delivering measurable improvements month-over-month. This role is critical to maintaining ZoomInfo's competitive advantage in company intelligence by continuously raising the bar on data quality, coverage, and customer value.
What You'll Do (Essential Functions)
Own end-to-end product strategy for company data, defining vision, roadmap, and success metrics aligned with company objectives
Identify and prioritize high-impact opportunities that improve company data quality, expand coverage, or unlock new customer use cases
Drive new data source integration for company attributes, including evaluation, negotiation, and productization of 3rd party partnerships
Build scalable frameworks for company data enhancement, quality monitoring, and continuous improvement including resolution of critical data quality issues
Define and track metrics that measure company data coverage, accuracy, freshness, and customer adoption
Partner with engineering and data science to solve complex technical problems in company matching, hierarchies, entity resolution, and data pipelines
Lead product discovery initiatives using customer interviews and data analysis to uncover true customer pain points beyond surface-level feedback
Create comprehensive documentation, enablement materials, and objection handling frameworks that enable internal and customer-facing teams to understand and communicate company data value
Lead go-to-market initiatives, partnering with product marketing and sales to position, message, and monetize company data improvements
What You Bring
Required Qualifications
8+ years of product management experience with at least 4+ years focused on data products, data platforms, or data-intensive B2B SaaS
Proven track record of shipping impactful data products that improve quality, expand coverage, or unlock new use cases
Deep technical understanding of data pipelines, data quality frameworks, entity resolution, data modeling, and/or machine learning applications
Strong understanding of company data, firmographics, hierarchies, and business intelligence domains
Cross-functional leadership with proven ability to influence engineering, data science, operations, and GTM teams without formal authority
Strong analytical skills with ability to independently define metrics, analyze data, and make data-driven decisions
Excellent communication skills with ability to explain complex technical concepts to diverse audiences and develop comprehensive documentation
B2B SaaS experience, preferably in enterprise data products, APIs, or data-as-a-service offerings
Preferred Qualifications
Background in data science, engineering, or analytics prior to product management
Experience in high-scale data processing environments (billions of records, complex entity resolution)
Familiarity with DaaS platforms, data marketplaces, customer enablement, or technical documentation
Knowledge of data privacy regulations (GDPR, CCPA) and their product implications
#LI-VC1 #LI-Hybrid
Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or trai ... (truncated, view full listing at source)
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