Senior Product Manager - Fraud Services

Senior Product Manager - Fraud Services WHY SOCURE? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. ABOUT THE ROLE As a Senior Product Manager in the Fraud team, you will own the foundational platform and core services that power Socure’s fraud products. You will play a key role in advancing our ability to scale by deepening how our products leverage machine learning scores, actionable insights, and native integration to identify and mitigate risk. This role is focused on the "industrialization" of fraud detection, building the highly scalable, technical connective tissue between our raw data/models and the final risk score delivered to customers. You’ll translate business and customer needs into well-defined requirements, ensuring actionable insights deliver measurable value across Socure’s products. This role is ideal for a PM who thrives on turning complex technical concepts into practical, scalable features — driving outcomes through consistent prioritization, tight execution, and collaboration with engineering and data science partners. KEY RESPONSIBILITIES: PRODUCT DELIVERY & EXECUTION: - Lead the technical enablement for Score addons such as Graph Intelligence and Signals, ensuring these core components are architected for maximum reuse across the Socure ecosystem. - Manage the model lifecycle as a product, ensuring operational excellence and building the systems that allow customers to seamlessly adopt our latest fraud intelligence. - Manage and scale cross fraud services such as name matching and address validation—to ensure global consistency, high availability, and low-latency performance. - Use structured product frameworks (e.g., RICE, Kano, JTBD, or Opportunity Solution Tree) to make data-driven prioritization and tradeoff decisions. - Develop detailed product requirements, acceptance criteria, and success metrics that enable precise engineering execution. - Partner with Engineering and Data Science to ensure timely delivery and quality outcomes of graph and signal-based features. INTEGRATION & VALUE REALIZATION: - Identify and execute opportunities for native integration of graph insights into existing fraud and risk products, enhancing detection efficacy and reducing false positives. - Collaborate with dependent teams to ensure smooth data flows, operational performance, and measurable customer value from graph-based systems. - Define and track KPIs that quantify signal precision, latency, and contribution to model accuracy. CUSTOMER-CENTRIC PROBLEM SOLVING - Conduct customer discovery and feedback loops to validate hypotheses and refine product decisions. - Partner with Customer Success and Sales Engineering to understand customer workflows and optimize product usability. - Translate technical insights into clear product value propositions that resonate with both internal stakeholders and clients. COLLABORATION & CROSS-FUNCTIONAL ALIGNMENT - Collaborate closely with Data Science, Engineering, and other product areas to ensure consistent integration of graph and signal intelligence across the platform. - Work with Product Marketing, Product Operations and Account teams to prepare product documentation, release notes, and enablement materials that highlight graph-related value. - Contribute to quarterly planning and prioritization through transparent communication of tradeoffs, outcomes, and progr ... (truncated, view full listing at source)