Fraud and Risk Engineer

At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets.

We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support.

Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid.

Backed by Sequoia Capital, Multicoin Capital, and The Chainsmokers, Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build.

Overview

We are hiring for a Senior Fraud & Risk Engineer to join our team! You will own and build the risk infrastructure that powers our payments platform. This is a highly strategic and hands-on role where you will design, implement, and scale our fraud detection systems across a diverse and growing portfolio of merchants.

You’ll work across best-in-class tools like Sift and Sardine to create a multi-merchant risk engine that balances approval rates with fraud prevention. From rules architecture to model tuning and chargeback analysis, you’ll be responsible for driving measurable improvements in fraud performance.

This role is ideal for someone who has built or operated fraud systems in payments or marketplaces, thrives in high-ownership environments, and wants to shape risk as a core product function at a fast-growing fintech company.
Preference on a colleague who can work hybrid in our NYC office. 

What You’ll Do

• Own and evolve Breeze’s fraud risk engine, integrating Sift ML scoring and Sardine rules across all merchant categories
• Design and maintain a scalable rules architecture, including category-level defaults, merchant-specific overrides, velocity checks, and blocklists
• Continuously tune thresholds and features across merchant segments to optimize approval rates and minimize fraud
• Build feedback loops between manual review decisions, chargeback data, and model retraining to improve detection accuracy
• Partner closely with risk operations to translate real-world fraud patterns into automated rules and systems
• Lead onboarding of new merchants into the risk stack, solving cold-start challenges and calibrating risk for new verticals