Product Manager, Data Ingestion & Quality

Responsibilities

• Own the supply side of Protege's data platform, managing the pipeline that transforms raw partner data into trustworthy, catalog-ready assets for AI training
• Define ingestion pipeline stages, validation gates, and quality checks to ensure repeatable processes across different modalities and verticals
• Drive product decisions regarding metadata generation, including transcripts, tags, confidence scores, and schema inference
• Establish QA standards and build the tooling required to enforce "catalog-ready" criteria
• Translate complex requirements from vertical stakeholders into consistent, platform-level standards for engineering teams
• Perform hands-on data validation by writing SQL and reviewing pipeline outputs to ensure quality standards are met

Requirements

• 4–7 years of Product Management experience specifically focused on data pipelines, data quality systems, or ingestion platforms
• High technical depth with the ability to write SQL, read pipeline logs, and understand data validation architecture
• Proven experience managing messy, inconsistently formatted third-party data and transforming it into reliable assets
• Strong judgment regarding build-versus-partner decisions and experience with vendor evaluation in technical domains
• Ability to work cross-functionally with engineering, GTM, and vertical product teams

Preferred Qualifications

• Experience with data quality frameworks or catalog tooling such as dbt, Great Expectations, or data contracts
• Familiarity with de-identification approaches for sensitive data (PHI, PII, or confidential enterprise data)
• Background in healthcare data operations, financial infrastructure, or domains with high-stakes data quality requirements
• Exposure to ML training pipelines or AI data workflows

About the Company

Protege is building the infrastructure to solve AI's biggest unmet need: access to high-quality training data. Our platform facilitates the secure, efficient, and privacy-centric exchange of data, powering partnerships with the most ambitious teams in AI. We are a lean, fast-moving, high-trust team of builders obsessed with velocity and impact.