Senior Product Manager, Core Fraud Services

What you'll do

Product Delivery & Execution

• Own Model Factory as a product, ensuring operational excellence while designing and improving systems that enable seamless customer adoption of the latest fraud intelligence.
• Continuously enhance model performance and manage the end-to-end model lifecycle, defining how AI and human oversight work together to deliver scalable, high-quality outcomes.
• Manage and scale cross-fraud services like name matching and address validation, guaranteeing global consistency, high availability, and low-latency performance.
• Lead the technical enablement for Score add-ons such as Graph Intelligence and Signals, architecting these core components for maximum reuse across Socure’s platform.
• Apply structured product frameworks (e.g., RICE, Kano, JTBD, Opportunity Solution Tree) to drive data-based prioritization and tradeoff decisions.
• Develop clear product requirements, acceptance criteria, and success metrics to support precise engineering execution.
• Partner with Engineering and Data Science to ensure timely delivery and high quality of graph and signal-based features.

Integration & Value Realization

• Identify and execute opportunities to natively integrate graph insights into existing fraud and risk products, increasing detection rates and reducing false positives.
• Collaborate with dependent teams to ensure seamless data flows, strong operational performance, and measurable customer value from graph-based systems.
• Define and monitor KPIs for signal precision, system latency, and contributions to model accuracy.

Customer-Centric Problem Solving

• Conduct ongoing customer discovery and feedback loops to validate hypotheses and inform product direction.
• Work with Customer Success and Sales Engineering to understand workflows and optimize usability.
• Distill technical insights into actionable product value propositions for internal and external stakeholders.

Collaboration & Cross-Functional Alignment

• Collaborate closely with Data Science, Engineering, and allied product teams to ensure consistent, platform-wide integration of graph and signal intelligence.
• Work with Product Marketing, Product Operations, and Account teams to produce documentation, release notes, and enablement materials that showcase product value.
• Support quarterly planning and transparent communication on tradeoffs, outcomes, and progress.

Required Qualifications

• 5+ years in Product Management — specifically for platform systems, infrastructure, or core services in high-scale B2B API or ML/AI environments.
• Demonstrated track record delivering technical products end-to-end, shipping on time, and iterating based on impact.
• Technical expertise developing AI/ML-powered products, data platforms, or decisioning systems. Ability to closely partner with engineering and data science teams.
• Proven strategic thinking and ability to develop and execute multi-year product roadmaps aligned to market and business objectives.
• Strong cross-functional collaboration and communication skills, including alignment across remote teams and diverse stakeholders.
• Demonstrated ability to drive innovation using client feedback, market insights, and industry trends.
• Excellent verbal and written communication, with comfort engaging with executive leadership and external partners.
• Willingness to travel 10-15%.

Preferred Qualifications

• Experience building products for fraud, identity verification, risk, cybersecurity, fintech, payments, or financial services.
• Client-facing experience within financial services, fintech, or government sectors.
• MBA or advanced degree in Computer Science, Engineering, or related field.
• 2+ years building B2B self-service products designed for both end customers and internal product users.
• Strong user-centric product practices, with the ability to work hand-in-hand with Designers and Engineers.
• Outstanding influence and cross-functional collaboration skills, with an ability to create clarity and drive focus.