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machine learning fraud detection data pipelines ocr document understanding📋 Description
- Drive roadmap for parsing income and document types; improve accuracy and speed.
- Scale document types: expand catalog; own end-to-end surface from upload to output.
- Define and ship fraud signal layer across data sources and risk tolerances.
- Lead bank aggregation product, improve connection success and coverage.
- Set and defend SLAs across data sources; drive dashboards and reliability.
🎯 Requirements
- 7+ years in product management in data, ML/AI, fintech, or verification.
- Experience owning a data-intensive product: OCR, document understanding, fraud, or similar.
- Strong technical fluency; can discuss extraction models, API tradeoffs, and pipeline design.
- Track record of driving SLA and reliability outcomes.
- Experience in regulated industries (mortgage, lending, government); GSE familiarity a plus.
- Strong written communication; customer obsession; experience with verification/KYC.
🎁 Benefits
- High leverage: data sources underpin all Truv products.
- Mature platform with room to push; already in production with major mortgage lenders.
- Real complexity: document parsing, fraud, and bank aggregation roadmaps.
- Tight team: work with senior leadership, engineering, and key clients.
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