Intelligence Engineer - Offline

Verisoul Inc.; Austin (TX); On-site; USD 190,000 - 240,000; Full time

Benefits offered by this job

Free Lunch

$10K Relocation Bonus

100% Insurance Coverage

Unlimited Vacation

Beautiful Office

Job summary

A leading fraud prevention technology firm in Austin, Texas is seeking an experienced Full-stack Engineer to build and innovate systems that catch fraud. Responsibilities include architecting reputation systems, deploying graph analytics, and developing probabilistic models. Candidates should have over 4 years of experience in full-stack engineering with a strong understanding of data pipelines and entity resolution. The position offers a competitive salary ranging from $190,000 to $240,000 plus equity and comprehensive benefits.

Qualifications

• 4+ years of experience as a full-stack engineer.
• Experience with batch processing, data pipelines, and warehousing.
• Understanding of how to link data points into a cohesive identity.
• Ability to apply mathematical concepts like probability and entropy.

Responsibilities

• Build batch and nearline data pipelines for scoring risk.
• Use network science to detect synthetic accounts.
• Engineer scoring algorithms integrating reputation data.
• Conduct discovery on terabytes of historical fraud data.

Skills

Full-stack engineering

Big Data Engineering

Entity Resolution

Probability

Graph theory

Job description

About Verisoul

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.

Our Trajectory (Last 12 Months):

• 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

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

1. 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.

2. 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.

3. 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.