Principal Product Manager, Risk & Fraud

Circle

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CAAtlanta, GAAustin, TXBoise, IDBoston, MACharlotte, NCChicago, ILColumbus, OHDallas, TXHouston, TXKansas City, MOLos Angeles, CAMiami, FLMinneapolis, MNNashville, TNNew York, NYPhiladelphia, PAPhoenix, AZPortland, ORSalt Lake City, UTSan Diego, CASeattle, WATampa, FLWashington, DC
Salary
$200,000–$260,000 / yr
Posted
35 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $230k
$151k $272k
below market most similar roles pay here above market

This role pays more than 72% of similar roles. Most pay $177,250–$231,100 — the blue band above. At the midpoint, this role pays about $230k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Circle

Circle is a global financial technology firm and the principal operator of USD Coin (USDC), a leading stablecoin, providing cross-border payments and digital currency infrastructure for businesses. Industry: Financial Technology & Digital Currency

Circle currently has 25 open roles on FindRole.

Listed pay typically runs $183,750–$230,833 across 24 roles with salary data.

Most-posted roles

View all roles at Circle

At a glance

TL;DR · Principal Product Manager, Risk & Fraud

As a Principal Product Manager, Risk & Fraud, you will join the team responsible for the strategy and execution of Circle’s risk platform. You will own the roadmap for infrastructure that supports both crypto and traditional financial rails, ensuring the platform scales across new products and global regulatory requirements. Your daily work involves building fraud prediction systems, defining risk vectors, and developing a user-friendly rules engine for risk operators. You will leverage AI/ML for automated decisioning, manage observability strategies, and translate complex regulatory requirements into technical user stories. Key skills include deep expertise in AML, sanctions screening, and KYC/KYB, alongside technical fluency in APIs, SQL, and event-driven architectures like SNS/SQS. You will solve the business problem of maintaining trust and safety while enabling global money movement.

What does a Product Manager earn in California?

Median $222500 from 327 postings across 57 companies.

See salary data

What you'll do

  • Define the strategy and roadmap for a risk and fraud platform supporting crypto and traditional financial rails.
  • Build fraud prediction and detection systems from the ground up by defining risk vectors and executing mitigating controls.
  • Develop a user-friendly rules engine and intuitive tooling for risk operators to manage customer lifecycle events.
  • Implement observability strategies to monitor platform performance, validate critical flows, and surface key risk indicators.
  • Leverage AI/ML to automate risk decisioning, lead feature engineering, and manage model development frameworks.
  • Translate regulatory requirements and business needs into clear product requirements and user stories for engineering execution.
  • Maintain comprehensive documentation of platform design and functionality to ensure internal transparency and audit readiness.
  • Represent the risk platform in senior leadership and regulatory forums to align cross-functional strategy.

What we're looking for

  • 10+ years of product management experience building risk, compliance, or trust & safety platforms in fintech, crypto, or financial services.
  • Deep expertise in fraud typologies for consumer/SMB segments and hands-on experience crafting risk rules.
  • Deep expertise in AML, sanctions screening, and onboarding compliance such as KYC/KYB.
  • Track record of translating regulatory requirements into scalable platform capabilities for real-time and asynchronous risk decisioning across crypto and fiat rails.
  • Experience leading modular platform design and refactoring monolithic services into scalable, service-oriented architectures.
  • Ability to collaborate with engineering and data science teams to ship complex infrastructure products and influence senior stakeholders.
  • Analytical skills to apply ML, risk signals, and scoring models to improve detection and operational efficiency.
  • Technical fluency in APIs, SDKs, event-driven architectures (e.g., SNS/SQS), SQL, and GitHub (preferred).

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