# Senior Product Manager, Core Fraud Services

**Company:** [Socure](https://hotfix.jobs/companies/socure)
**Location:** Carson City, NV
**Role:** Product Management
**Salary:** $170k – $220k/yr
**Experience:** 5+ years
**Skills:** Product Management, AI/ML, Data Platforms, Decisioning Systems, Graph Intelligence, APIs, Roadmapping, Rice, Kano, Jtbd, Opportunity Solution Tree
**Posted:** 2026-07-09

> Lead product development for Socure's Core Fraud Services platform, owning Model Factory, scaling shared fraud services (name matching, address validation, Graph Intelligence), and integrating ML signals into risk products. Requires 5+ years platform PM experience in high-scale B2B ML/AI environments, partnering closely with Engineering and Data Science.

## Job Description

## 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.

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