Senior Product Manager - Behavioral Analytics

Socure • Carson City, NV

2d

About The Position

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.
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.

Requirements

• 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.

Nice To Haves

• Domain Expertise: Experience building products in Behavioral Analytics or Biometrics (e.g., keystroke dynamics), Bot Management, or Device Fingerprinting.
• Competitor Knowledge: Familiarity with the landscape of behavioral tools (e.g., BioCatch, BehavioSec, DataDome, Neuro-ID).
• Regulatory Knowledge: Understanding of privacy landscapes regarding biometric data (GDPR, BIPA, CCPA) and how they influence product architecture.
• Mobile Experience: Experience managing Mobile SDK products (iOS/Android) and understanding the nuances of mobile sensor data (accelerometer/gyroscope).

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed