Intelligence Engineer - Offline

King River Capital Group; Austin (TX); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Free Lunch

$10K Relocation Bonus

100% Insurance Coverage

4% 401K Match

Unlimited Vacation

Up to 20 days Remote Annually

Beautiful Office

Job summary

A tech-driven capital firm in Austin, Texas, is seeking a Full-Stack Engineer to build systems for identifying and preventing fraud. You'll architect reputation systems, deploy analytics, and develop probabilistic models, leveraging your big data engineering skills. Offering a competitive compensation package of $200K-$250K, and benefits like unlimited vacation and $10K relocation bonus, this role promises dynamic challenges and significant impact.

Qualifications

• 4+ years as a full-stack engineer.
• Experience with batch processing, data pipelines, and warehousing.
• Ability to link data points into a cohesive identity.

Responsibilities

• Architect Reputation Systems and score risk across identity attributes.
• Deploy graph analytics to visualize complex fraud clusters.
• Develop probabilistic models for dynamic entities.

Skills

Big Data Engineering

Mathematical Intuition

Entity Resolution

Job description

Location

Austin

Employment Type

Full time

Location Type

On-site

Department

Engineering

Compensation

• Engineer Total Comp $200K – $250K • 0.25% – 0.5% • $10K Relocation Bonus

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.

Compensation Range: $200K - $250K