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 ingesti...