Intelligence Engineer - Real-time

Verisoul stops fake accounts and fraud in the era of AI. We distinguish real humans from bots and bad actors for high-growth companies like Clay, Augment Code, and Morning Consult .

6x YoY Growth: 6x ARR growth (to $2M) and scaled to 100+ customers.

Product Dominance: 80% competitive win rate; we catch 70-105% more fraud than legacy tools.

Strong Backing: Raised $8.8M Series A

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 data ingestion in production.

End to End ML Modeling: Built large scale models from the ground up with data collection, feature engineering, modeling and monitoring

Curiosity & Creativity: You look at a raw stream of events and see a story. You enjoy the "cat and mouse" game of digital forensics.

First-Principles Thinking: You look beyond existing solutions and raw data, diving deep into the underlying meaning and ground truth.

Location: In-person in Austin, TX.

Platform Engineering Team: To embed intelligence into the core product suite and real-time SDKs for data collection

GKE, GCP, Spanner, Starrocks, Redis, Go, Python, Typescript

In office 5 days a week in Austin, Texas!

All-in Optimism: Building a startup is hard. We bring the energy and steadfast optimism needed to push through challenges and accomplish the impossible—while having fun.

Total Ownership: Be a self-starter and a self-completer. Own high-impact problems end-to-end, combining structure with the execution skills to get the job done.

First Principles Curiosity: Challenge assumptions with a beginner’s mind. Rethink the "current way," test new hypotheses, and focus on finding the truth—even if it means changing your mind.