Data Product Manager, Findem

• 5–10 years of progressively increasing responsibility in roles related to data products, data platforms, analytics, or data operations
• Proven experience owning and managing complex datasets or data pipelines, preferably within a management consulting firm or large SaaS organization
• 3–5 years of experience serving as a dedicated Data Product Manager
• Hands-on experience working with large, complex, and multi-source datasets
• Strong understanding of entity-based datasets (e.g., company, people, or product data), with direct experience considered a significant plus

Desirable

• We’re looking for a seasoned Data Product Manager to own and evolve the firmographic data foundation that powers Findem’s platform. This role ensures that company entities, attributes, and relationships are accurate, comprehensive, and structured in ways that unlock powerful search, segmentation, and analytics capabilities for customers
• Translate feedback from customers, Product, and ESP into a prioritized roadmap for improving company data coverage, structure, and accuracy
• Drive initiatives that identify and resolve gaps in key company attributes, segments, and entities—leveraging both traditional and AI-derived sources—to ensure Findem delivers the most comprehensive, reliable, and product-ready company data in the industry
• Own the firmographic data product roadmap, defining the strategy for company entity resolution, enrichment, and coverage to support Findem’s product capabilities
• Define and evolve the firmographic data and entity models, including canonical company records, corporate hierarchies, and location relationships
• Prioritize improvements across company attributes, segments, and entities based on customer impact and product needs
• Partner with Engineering to architect scalable pipelines for ingestion, normalization, and reconciliation of company data from multiple sources
• Evaluate and prioritize external data providers, AI-derived signals, and internal sources to improve firmographic coverage and accuracy
• Define frameworks for source reliability, confidence scoring, and attribute reconciliation
• Establish data quality KPIs and SLAs for coverage, freshness, accuracy, and entity resolution
• Build monitoring frameworks and dashboards to continuously track firmographic data health
• Translate product and customer needs into prioritized improvements in company attributes, segmentation capabilities, and data coverage
• Work closely with Product to ensure firmographic data unlocks key platform capabilities such as search, segmentation, and analytics
• Direct research and data investigation projects to uncover opportunities and drive progress on cleanup
• Maintain high standards for data governance, quality assurance, and documentation