Findem Visa Sponsorship USA

INTRODUCTION

Findem is HR 2.0. We’re a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal.

We’re backed by top-tier investors including Wing Venture Capital – the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. By joining Findem, you will have the unique opportunity to help define what the future of HR looks like for every business.

ROLE AND RESPONSIBILITIES

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.

BASIC QUALIFICATIONS

• 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.

PREFERRED QUALIFICATIONS

• 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.
• $160,000 - $180,000 a year.

Our compensation range reflects the cost of labor across multiple U.S. geographic markets. The base salary for this role is listed below by location, and the exact amount offered will depend on your skills, experience, and work location.

We’re an Equal Opportunity Employer

We believe that a diverse team builds better solutions. We’re committed to creating an inclusive environment for all employees and welcome candidates from all backgrounds, experiences, and perspectives.

Ready to build something impactful and lead a team to success? Apply now and let’s grow together.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.