Socure is building the identity trust infrastructure for the digital economy, focusing on verifying identities and preventing fraud. They are seeking a highly technical Senior Product Manager to lead the evolution of their Behavioral Analytics Risk product, which involves user behavior profiling and AI differentiation in real-time.
Responsibilities:
- 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
Requirements:
- 5+ years of Product Management experience, with at least 2+ years in a highly technical domain (Fraud Prevention, Identity, Cybersecurity, AdTech, or Developer Tools)
- 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
- 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
- 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
- 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
- Experience building products in Behavioral Analytics or Biometrics (e.g., keystroke dynamics), Bot Management, or Device Fingerprinting
- Familiarity with the landscape of behavioral tools (e.g., BioCatch, BehavioSec, DataDome, Neuro-ID)
- Understanding of privacy landscapes regarding biometric data (GDPR, BIPA, CCPA) and how they influence product architecture
- Experience managing Mobile SDK products (iOS/Android) and understanding the nuances of mobile sensor data (accelerometer/gyroscope)