Senior Product Manager

Who you are

• 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%
• 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

What the job involves

• As the Senior Product Manager for Core Fraud Services at Socure, you will lead the development and expansion of the foundational platform that powers fraud decisioning across our entire suite of products
• You will shape and scale key shared services, APIs, and machine learning capabilities, transforming raw fraud signals into high-performance risk intelligence. Your work will fuel faster innovation and more accurate fraud detection, raising the bar across the organization
• This is a highly technical platform product management role. Instead of owning a single customer-facing application, you will build the reusable infrastructure and core capabilities that enable a portfolio of fraud solutions. You’ll partner closely with Engineering and Data Science to deliver scalable, robust solutions that have direct impact on product effectiveness and organizational success
• Your role will be to translate business needs, customer feedback, and technical requirements into scalable platform features that power multiple fraud offerings. Success requires balancing long-term platform investments with immediate product and customer needs, while driving operational excellence and continuous innovation across the Socure ecosystem
• 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
• 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
• 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
• 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

Benefits

• Health: Comprehensive medical coverage, including vision, dental, and FSA
• Parental Leave: Generous leave allowance for parents-to-be
• 401k: Pre-tax savings for retirement
• Life Insurance: Protect your family in case of emergency
• PTO: Take as much time as you need, when you need it
• 100% Remote: Work from anywhere anytime, whatever suits your lifestyle
• WFH Allowance: Generous reimbursement program to maximize your WFH setup
• Deskpass: Work in an office environment whenever you feel the need
• Mental Health Provider: Connect with clinicians when you need it
• Learning & Development: Self-education allowance & free career coaching
• Employee Assistance Program "EAP": Lifestyle resources available as well as additional mental health resources
• Fertility Provider: Family planning solutions for those interested
• Personal Legal Support: Significant discounts with RocketLawyer