Senior Product Manager, Socure

• If you are obsessed with data, comfortable debating methods and trade-offs with engineers & data scientists, and ready to apply Continuous Discovery to the world of fraud prevention, we want to hear from you
• Experience: 5+ years of Product Management experience, with at least 2+ years in a highly technical domain (Fraud Prevention, Identity, Cybersecurity, AdTech, or Developer Tools)
• Technical Fluency: You are proficient in SQL and comfortable performing your own data analysis to answer questions without waiting for an analyst. You understand API design (REST/JSON), SDK constraints, and the basics of machine learning pipelines. You are also familiar with popular browsers, iOS, and Android platforms
• Outcome Over Output: You focus on moving business metrics (e.g., "Reduce Account Takeover by 20%") rather than just shipping features. You are familiar with setting and tracking KPIs like False Positive Rates and Fraud Detection Rates
• Discovery Mindset: You practice Continuous Discovery and seek to de-risk solutions up front. You know how to talk to customers, understand and explore the problem space, and run rapid experiments to validate risks
• Problem Solving: You can partner with engineering to break down complex, ambiguous problems, like "how do we distinguish a benign AI agent from a malicious bot?”, into shippable iterations

Desirable

• We are looking for a highly technical Senior Product Manager to join our Digital Intelligence team and lead the significant evolution of our Behavioral Analytics Risk product
• In this role, you will architect the next generation of "invisible" security and take the Behavioral Analytics Product to the next level
• You will own a product that passively profiles user interactions (analyzing patterns in typing, mouse movements, touch gestures, and navigation) to distinguish genuine users from sophisticated fraudsters, bots, and AI agents in real-time
• Reporting directly to the Head of Digital Intelligence Products, you will work at the intersection of cybersecurity, data science, and massive-scale engineering
• You won't just be writing tickets; you will be deep in the data, guiding and assisting in prototyping solutions to de-risk complex fraud problems, and defining how we detect the "digital body language" of millions of users
• Own the Behavioral Analytics Roadmap: Drive the end-to-end product lifecycle for the Behavioral Analytics Products, evolving our current capabilities into advanced phases involving user behavior profiling and AI-agent vs human user differentiation
• Lead Technical Execution: Partner with Engineering to define, prioritize, and deliver lightweight Web/Mobile SDKs, high-throughput real-time streaming pipelines, and sub-100ms decisioning services
• Data Science Partnership: Work hand-in-hand with Data Scientists to define feature extraction and train models. You will be responsible for defining acceptance criteria for model performance (e.g., Precision/Recall targets) and managing false positive rates
• Continuous Discovery & Experimentation: Utilize prototyping and experimentation to de-risk solutions before building. You will validate hypotheses about bot behaviors and user friction through data analysis and pilot programs
• Cross-Suite Integration: Engage with internal product teams to ensure your product integrates seamlessly with the broader Digital Intelligence suite and other Socure Products (RiskOS, Document Verification, etc…) to provide a unified risk score to our clients
• Go-to-Market Strategy: Partner with Product Marketing and Sales to help drive adoption and usage, create technical documentation, and evangelize the product to early adopter clients in Fintech and E-commerce
• Support Wider Digital Intelligence Initiatives: Provide product expertise and support for adjacent Digital Intelligence products and critical initiatives as the Behavioral Analytics team scales, ensuring resource alignment with the highest company priorities