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
Signal Innovation: Create, test, and deploy real-time signal collection and modeling architecture to separate good and bad users. R&D device, network and behavioral features Signal Infra: Develop infrastructure for large scale pipelines that still allow fast iteration
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.
Detect fraud, fake accounts, bots, and user clusters in milliseconds using real-time signals and ML modeling. Own the streaming architecture and real-time logic that separates real users from bots instantly.
Signal Innovation: Create, test, and deploy real-time signal collection and modeling architecture to separate good and bad users. R&D device, network and behavioral features
Signal Infra: Develop infrastructure for large scale pipelines that still allow fast iteration
Adversarial Modeling: Assume the attacker knows your rules. Build ML models and heuristic logic that adapt to shifting attack vectors.
Optimize Latency: Shave milliseconds off event pipelines for instant scoring.
Integrate Feedback: Connect intelligence to platform APIs for immediate customer loops.
Experience: 4+ years as an engineer, data scientist, ML engineer, or similar
Scale: Experience handling high-volume...
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