Senior Product Manager, Socure

• Experience: 5+ years of Product Management experience, specifically working on platform systems, infrastructure, or core services in a high-scale B2B API or ML/AI environment
• Execution Focus: Proven success delivering technical products end-to-end, with a strong record of shipping on time and iterating based on impact
• Technical Expertise: Strong technical knowledge of predictive analytics, with experience in data-driven product development
• Strategic Thinking: Ability to develop and execute product line roadmaps, ensuring products align with market demands and business growth objectives
• Collaboration: Great cross-functional collaboration and communication skills, with experience driving alignment between diverse teams and stakeholders. Experience working with remote teams
• Innovation Focus: Proven ability to drive product innovation by leveraging client feedback, market insights, and industry trends to develop cutting-edge solutions
• Communication: Strong verbal and written communication skills, capable of engaging with technical and non-technical stakeholders, including executive leadership and external partners
• Travel: Ability to travel 10-15% of the time

Desirable

• 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 ris
• 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
• 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
• 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
• 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
• 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 progress metrics