Senior Product Manager - Identity
Leads product strategy and roadmap for identity resolution engine, improving match rates for visitor-to-person and IP-to-company identification in B2B SaaS platform. Requires 5+ years PM experience in data products, technical fluency in SQL/Snowflake/BI tools, and cross-functional leadership.
About the job
What You'll Do
Strategic Leadership
- 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
Execution Excellence
- 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
Cross-Functional Partnership
- 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
What You Bring
Required Qualifications
- 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
Preferred Qualifications
- 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
Skills
SQL, Snowflake, Tableau, Looker, Identity Resolution, Entity Matching, Probabilistic Matching, Data Quality, Privacy Regulations, BI Tools
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