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Senior Product Manager - Behavioral Analytics

United States 170000.00 - 205000.00 USD / Year · Job Posted February 20, 2026
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Job Description

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.

Job Responsibility

  • Own the Behavioral Analytics Roadmap
  • Drive the end-to-end product lifecycle for the Behavioral Analytics Products
  • 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
  • Continuous Discovery & Experimentation
  • Utilize prototyping and experimentation to de-risk solutions before building
  • Cross-Suite Integration
  • Engage with internal product teams to ensure your product integrates seamlessly with the broader Digital Intelligence suite and other Socure Products
  • Go-to-Market Strategy
  • Partner with Product Marketing and Sales to help drive adoption and usage
  • Support Wider Digital Intelligence Initiatives
  • Provide product expertise and support for adjacent Digital Intelligence products and critical initiatives

Requirements

  • 5+ years of Product Management experience
  • At least 2+ years in a highly technical domain (Fraud Prevention, Identity, Cybersecurity, AdTech, or Developer Tools)
  • Proficient in SQL and comfortable performing own data analysis
  • Understand API design (REST/JSON), SDK constraints, and basics of machine learning pipelines
  • Familiar with popular browsers, iOS, and Android platforms
  • Focus on moving business metrics
  • Practice Continuous Discovery
  • Can partner with engineering to break down complex, ambiguous problems

Nice to have

  • 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)

What we offer

  • Equity
  • Annual bonus or a commission plan

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