Principal Product Manager - Identity

ZoomInfo is a Go-To-Market Intelligence Platform that empowers businesses with AI-ready insights, trusted data, and advanced automation. The Principal Product Manager, Identity will own the identity resolution engine, leading strategy, roadmap, data partnerships, performance improvements, monitoring, and cross-functional integration across platform, data science, engineering, and go-to-market teams.

Responsibilities:

• Own product strategy and roadmap for identity resolution, defining vision and success metrics that drive measurable improvements in match rates and customer value
• Identify and prioritize opportunities to enhance identity resolution through new data sources, improved algorithms, and better data quality
• Evaluate, negotiate, and integrate 3rd party data partnerships that expand identity coverage and accuracy
• Define and track core metrics including visitor-to-person match rates, IP-to-company accuracy, coverage, latency, and downstream revenue impact
• Partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption
• Deliver measurable improvements to identity resolution performance through rigorous prioritization, rapid experimentation, and iterative execution
• Diagnose and resolve data quality issues that impact match rates, customer trust, and product experience
• Build scalable monitoring and alerting systems that track identity resolution health and enable proactive issue detection
• Create frameworks for evaluating new data sources and measuring their incremental impact on resolution performance
• Conduct deep discovery using data analysis, customer interviews, and competitive research to uncover opportunities for improvement
• Partner with Platform, Application, and Data teams to ensure seamless integration of identity data into customer-facing products
• Collaborate with data science and engineering to solve complex problems in entity resolution, probabilistic matching, and signal enrichment
• Work with analytics teams to instrument metrics, build dashboards, and enable data-driven decision making
• Enable go-to-market teams through training, documentation, and competitive positioning
• Ensure compliance with global privacy regulations (GDPR, CCPA) and maintain privacy-by-design principles

Requirements:

• 12+ years of product management experience in data-intensive B2B SaaS environments, with focus on data products, identity systems, or platform-level capabilities
• Deep understanding of identity resolution, entity matching, IP-to-company mapping, visitor identification, and the evolving privacy landscape
• Technical fluency with SQL, Snowflake, and BI tools (Tableau, Looker) - ability to independently analyze data, diagnose issues, and make data-driven decisions
• Proven track record identifying, diagnosing, and resolving data quality issues at scale with understanding of coverage, accuracy, and freshness trade-offs
• Cross-functional leadership - demonstrated ability to influence and align engineering, product, data science, and go-to-market teams without formal authority
• Customer-centric mindset with experience optimizing adoption funnels and driving engagement for technical products
• Excellent communication skills - ability to translate complex technical concepts into clear, value-based narratives for executives and customers
• Bias for action - track record of moving quickly from insight to execution with iterative, test-and-learn approach
• B2B SaaS experience with enterprise data products, platform products, or GTM tools
• Experience with AdTech, MarTech, or Real-Time Bidding (RTB) ecosystems
• Background in data science, engineering, or analytics prior to product management
• Experience with customer data platforms, audience targeting, attribution, or cookieless solutions
• Familiarity with 3rd party data sourcing, evaluation, and integration
• Experience with probabilistic matching, entity resolution, or graph-based identity systems
• Knowledge of data privacy regulations and their product implications
• Experience in sales intelligence, marketing technology, or revenue operations domains