Company Overview

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/.

 

Principal Product Manager – Data Acquisition & Normalization

Location: Mountain View, California, required 5 days/week in office
Team: Data Platform
Reports to: VP of Product, Platform

About the Role

ID.me is seeking a Principal Product Manager (PPM) to lead strategy and execution for our Data Acquisition & Normalization initiatives — the backbone of how ID.me ingests, validates, and structures data powering our identity verification and fraud prevention systems.

In this role, you will define how identity data is sourced, standardized, and governed across ID.me’s network. You’ll collaborate closely with Engineering, Data Science, Fraud, and Platform teams to ensure that data flows are accurate, compliant, and optimized for scale. The Principal PM will serve as the product lead for ingestion pipelines, schema management, and normalization frameworks that feed ID.me’s Identity Trust Graph and platform services.

This is a high-impact, senior individual contributor role for a data-savvy product leader who thrives on solving complex data problems, designing scalable systems, and shaping how data powers the identity layer of the internet.

Responsibilities

Data Strategy & Vision

• Define and drive the product vision for how identity and verification data are acquired, normalized, and governed across ID.me’s platform.
  
  
• Partner with internal stakeholders to establish clear data contracts and lifecycle standards for structured and unstructured data sources.
  
  
• Develop long-term strategy for how ID.me integrates with third-party data providers, government sources, and verification partners.
  
  

Execution & Delivery

• Lead roadmap development and delivery for data acquisition pipelines, normalization workflows, and schema versioning systems.
  
  
• Collaborate with Engineering to design scalable ingestion and transformation architectures that ensure high data quality and availability.
  
  
• Define data validation and enrichment standards to maintain consistency across ID.me’s Identity Trust Graph and associated domain graphs.
  
  
• Partner with the Fraud Analytics, Compliance, and Platform teams to ensure data integrity supports identity verification, risk assessment, and audit requirements.
  
  

Cross-Functional Leadership

• Act as the connective tissue between Data Engineering, Platform, Fraud, and Analytics teams to align data priorities and drive end-to-end execution.
  
  
• Collaborate with the Platform organization to ensure normalized data integrates seamlessly into APIs, events, and downstream analytics.
  
  
• Influence architectural decisions and product trade-offs that balance accuracy, performance, and compliance.
  
  

Governance & Compliance

• Establish data lineage and audit frameworks for compliance with NIST 800-63, HIPAA, FedRAMP, and GDPR.
  
  
• Partner with Security and Legal to ensure all data ingestion and sharing practices adhere to regulatory and privacy standards.
  
  
• Implement metadata and cataloging solutions to enhance discoverability, transparency, and governance.
  
  

Qualifications

Basic Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
  
  
• 10+ years of product management experience, with at least 5+ years focused on data platforms, ingestion, or infrastructure products.
  
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