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
5+ 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