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21 hours ago
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sql computer vision machine learning apis fraud detection📋 Description
- Own DocV forensic engine roadmap and detection strategy.
- Work with Data Science and Eng to improve fraud vector detection.
- Translate model signals into scalable, configurable decisioning.
- Collaborate with customers and GTM to align on outcomes.
- Balance detection accuracy with UX and conversion impact.
🎯 Requirements
- 3–5 years in product management, esp. identity verification.
- Strong APIs, SQL, databases, and product architecture.
- ML familiarity: model outputs, metrics, and tradeoffs.
- Computer Vision knowledge (OCR/image verification) preferred.
- Fraud & identity domain knowledge.
- Analytical, customer-focused, and cross-functional collaboration.
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