Senior Product Manager – Document Verification
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Job Description
Senior Product Manager managing Socure's Document Verification platform, focusing on fraud detection and decisioning logic. Collaborating with Data Science and Engineering to enhance fraud detection capabilities.
Responsibilities:
- Own the roadmap and execution for DocV’s forensic engine, including detection of document fraud, injection attacks, and AI-generated content.
- Support efforts to scale DocV adoption globally, including in the public sector, financial services, and emerging markets.
- Partner with Data Science to define, evaluate, and improve model performance across key fraud vectors.
- Identify gaps in detection coverage and drive new signal development across image, video, and device layers.
- Design and evolve decisioning frameworks that translate model outputs into actionable outcomes.
- Build scalable, configurable logic that supports diverse customer risk profiles and use cases.
- Balance fraud detection performance with user experience and conversion impact.
- Work closely with high-value customers to understand fraud patterns, edge cases, and operational needs.
- Translate customer feedback into product improvements and prioritization decisions.
- Support complex customer implementations and act as a subject matter expert in DocV decisioning.
- Collaborate with Engineering and Data Science to translate product requirements into technical execution.
- Partner with the Fraud Investigation team, Customer Success, and Sales to align on product behavior and outcomes.
- Drive alignment on tradeoffs between detection accuracy, false positives, and business impact.
- Use SQL and analytics tools to evaluate model performance, decisioning outcomes, and conversion impact.
- Define and track key metrics related to fraud detection, model precision/recall, and user experience.
- Conduct deep dives into fraud patterns and emerging attack vectors.
- Support product launches and enhancements with clear positioning and documentation.
- Enable internal teams and customers to understand and effectively use decisioning capabilities.
Requirements:
- 3–5 years in product management, preferably in identity verification, fraud prevention, or other ML-driven products.
- Strong understanding of APIs, SQL queries, databases, and product architecture.
- Experience working closely with ML models, including understanding model outputs, evaluation metrics, and tradeoffs.
- Exposure to image processing, OCR, or document verification systems is a strong plus.
- Familiarity with fraud detection techniques, identity verification flows, or risk-based decisioning systems.
- Comfortable working with data, writing queries, and deriving insights to inform product decisions.
- Ability to balance technical complexity, customer needs, and business impact in decision-making.
- Experience working directly with customers, especially in complex or high-stakes environments.
- Strong ability to explain complex technical concepts clearly to both technical and non-technical audiences.
- Proven ability to work cross-functionally with Engineering, Data Science, and go-to-market teams.
Benefits:
- Offers Equity
- Offers Bonus
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