Senior Product Manager

Senior Product Manager - Behavioral Analytics

Socure

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

170000.00 - 205000.00 USD / Year

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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

Additional Information:

Job Posted:
February 20, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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