Senior Product Manager - Graph Intelligence

Socure•Carson City, NV

About The Position

As a Senior Product Manager in the Fraud team, you will own the graph intelligence and signals products in addition to playing a key role in advancing Socure’s fraud prevention capabilities by deepening how our products leverage machine learning scores, actionable insights, and native integration to identify and mitigate risk. This role is focused on hands-on execution, rigorous product discovery, and data-informed decision making through structured frameworks. 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.

Requirements

Experience: 5+ years of relevant Product Management experience in fraud prevention or identity verification, with a proven track record of launching and growing B2B API & ML/AI products.
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

Nice To Haves

Experience with identity fraud data, model feedback loops, or graph-based fraud detection tools.
Prior work with clients in financial services, fintech, or government sectors.
MBA or advanced degree in Computer Science, Engineering, or a related field.
2+ years of building B2B self-service oriented products for both customers and product teams.
Demonstrated user-centric approaches from previous experiences, along with ability to work alongside Designers and Engineers
Strong influence and cross-functional collaboration skills with the ability to create clarity and drive focus
East coast based

Responsibilities

Manage the product lifecycle for Graph Intelligence and Signals — from problem discovery to launch and optimization.
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 and GTM 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.