Data Product Manager, Firmographics

What You'll Do:

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

Your Working Experience:

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

What Makes You a Great Fit?

Data modeling and schema design for large-scale entity datasets

Experience managing data pipelines or data platforms

Ability to define data product requirements and technical specifications

Ability to develop roadmaps for data platforms and datasets

Experience balancing customer value, engineering complexity, and data reliability

Familiarity with entity resolution, data reconciliation, and attribute normalization

Experience designing data quality monitoring and governance frameworks

Project management across Research, Engineering, Product 

Data cleansing/debugging/RCA with messy data

Working fluency with SQL and data exploration tools to validate hypotheses and partner effectively with Engineering and Research teams

Advanced spreadsheet skills for exploratory analysis and rapid prototyping; evolving to proprietary internal tools

Ability to communicate insights through clear data visualization

Benefits & Perks:

Competitive base + performance-based compensation

Unlimited PTO

Generous healthcare coverage for you and your family

Home office and productivity setup stipend

Professional development budget and executive coaching access

Equity grants that align your success with ours