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Salary
$200k – $250k per year
Location
In office (Austin)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Dec 16, 2025. Verisoul scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Invisibly catch duplicate accounts, AI bots, and fraud. Customize decisions without engineering resources. Verify user identity with AI agents. All in one platform.

About Verisoul

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.

Our Trajectory (Last 12 Months):

  • 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.

You and Your Role

Build the deep memory of the system. Analyze history, reputation, and patterns to catch sophisticated fraud that real-time checks miss.

What You’ll Do:

  • 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.

What You’ll Bring:

  • Experience: 4+ years as a full-stack engineer

  • Big Data Engineering: Experience with batch processing, data pipelines, and warehousing.

  • Entity Resolution: Understanding of how to link data points (email, IP, device) into a cohesive identity.

  • Mathematical Intuition: You understand probability, entropy, or graph theory and can apply them to messy real-world data.

  • Location: In-person in Austin, TX.

Who You’ll Work With:

  • Engineering Team: To define the logic behind risk scores.

  • Platform Team: To make intelligence accessible via APIs.

Compensation: $200,000 - $250,000 + Equity Grant

  • Base Salary: $190,000 - $240,000 fixed annual salary (All Base)

  • 401k match: 4% match of compensation (~$8,000)

  • Equity Grant: 0.2% - 0.4% with 4-year vesting

Life At Verisoul

In office 5 days a week in Austin, Texas!

Benefits

  • Free Lunch - personalized your way

  • $10K Relocation Bonus

  • 100% Insurance Coverage

  • 4% 401K Match

  • Unlimited Vacation

  • Up to 20 days Remote Annually

  • Beautiful Office

Our Values (SOUL)

  • Start from Scratch We solve problems from the ground up. Fraud adapts daily, so we approach problems with a beginner’s mind: challenging assumptions, asking the questions no one else is asking, and rethinking the current way. We focus on finding the best answer and learning something new, even if it means changing our minds.

  • Own with Optimism We own high-impact problems end to end. We are self-starters and self-finishers: we move independently when we can and orchestrate when we should. We believe there is a solution that will work, even when conventional wisdom says otherwise. That belief gives us the energy to push through challenges and accomplish the impossible, while having fun doing it.

  • Unique, Real, Human We help companies know that their users are unique, real, and human, and we emulate that in how we build Verisoul. We are building a company that should feel as distinct as the problem we are solving. We win by being unusually creative, unusually fun and joyful to work with, and unmistakably ourselves.

  • Long-Term Trust We are in the business of building trust. Customers rely on Verisoul millions of times per day: with their users, their data, and decisions that affect their entire business. Trust compounds slowly and can be lost quickly, so we build it through clarity, accountability, and follow-through.

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