Invisibly catch duplicate accounts, AI bots, and fraud. Customize decisions without engineering resources. Verify user identity with AI agents. All in one platform. Backed by 500 Global.
About the role
Architect Reputation Systems: Build batch and nearline pipelines to score risk across identity attributes (email, phone, ISP) and lay the foundation for a scalable intelligence knowledge graph. Deploy Graph Analytics: Use network science—including centrality, community detection, and embeddings—to detect synthetic accounts and visualize complex fraud clusters.
More about this role
Verisoul catches fake accounts, AI bots, and fraud. We distinguish real humans from bots and bad actors for companies like P&G, Qualtrics, Clay, and VSCO.
9x YoY Growth: 9x ARR growth to $5.5M, scaled to 150+ customers.
Product Dominance: 92% competitive win rate.
Strong Backing: Raised $8.8M Series A.
Build the deep memory of the system. Analyze history, reputation, and patterns to catch sophisticated fraud that real-time checks miss.
Architect Reputation Systems: Build batch and nearline pipelines to score risk across identity attributes (email, phone, ISP) and lay the foundation for a scalable intelligence knowledge graph.
Deploy Graph Analytics: Use network science—including centrality, community detection, and embeddings—to detect synthetic accounts and visualize complex fraud clusters.
Develop Probabilistic Models: Engineer scoring algorithms that integrate historical reputation data and quantify uncertainty for dynamic entities like residential IPs.
Innovate & Mine Data: Conduct open-ended discovery on terabytes of historical data to invent new features and uncover evolving patterns in fraud network organization.
Experience: 4+ years as a full-stack engineer
Big Data...
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