Senior Product Manager - Document Verification

📋 Description

• Own the DocV forensic engine roadmap, including fraud detection and AI content.
• Scale DocV adoption globally across public sector, finance, and markets.
• Partner with Data Science to evaluate model performance across fraud vectors.
• Design and evolve decisioning frameworks translating model outputs into actions.
• Build scalable, configurable logic for diverse customer risk profiles.
• Collaborate with Engineering and Data Science to translate requirements into execution.

🎯 Requirements

• 3–5 years in product management, preferably identity verification or ML products.
• APIs, SQL, databases, and product architecture.
• ML familiarity: understand model outputs, metrics, tradeoffs.
• Computer Vision (preferred): OCR or image processing.
• Fraud & Identity domain knowledge: fraud detection flows.
• Analytical skills: data-driven, writing queries, insights.

🎁 Benefits

• Equal opportunity employer; values diversity.
• Accommodation available during any stage of the hiring process.