Senior Product Manager - Graph Intelligence

Why Socure?

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

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.

• 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 trade‑off 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 trade‑offs, outcomes, and progress metrics.

• 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…