Principal Product Manager- Company Data

ZoomInfo is where careers accelerate, and they are seeking a Principal Product Manager for Company Data to lead their data strategy and execution. This role focuses on delivering a next-generation company data creation pipeline and requires ownership of the product strategy that impacts millions of users and drives significant revenue.

Responsibilities:

• 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

Requirements:

• 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
• 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