Engineering Manager, Machine Learning, Fraud Detection

Stripe

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Toronto, CanadaAtlantaChicagoNew York, NYSeattleSan Francisco, CA
Salary
$258,600–$387,800 / yr
Posted
84 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $233k
This role $323k
$160k most similar roles pay here $412k

This role pays more than 93% of similar roles. Most pay $204,200–$260,899 — the shaded band above. At the midpoint, this role pays about $323k versus about $233k for comparable roles.

Based on 240 similar postings.

Employer

About Stripe

Stripe is a financial infrastructure platform for internet businesses, providing payment processing, billing, fraud prevention, and banking-as-a-service APIs to businesses of all sizes globally. Industry: Payments Infrastructure & Financial Technology

Stripe currently has 145 open roles on FindRole.

Listed pay typically runs $203,600–$286,800 across 142 roles with salary data.

Most-posted roles

View all roles at Stripe

At a glance

TL;DR · Engineering Manager, Machine Learning, Fraud Detection

As an Engineering Manager, Machine Learning - Fraud Detection, you will lead and grow a team of engineers within the Risk Detection group. Your primary responsibilities involve recruiting, hiring, and developing engineering talent while ensuring high technical quality across APIs, services, and user-facing systems. You will collaborate cross-functionally with leadership, product teams, infrastructure teams, and risk strategists to shape strategic platform decisions. The role focuses on building a merchant experience that minimizes friction while maintaining safety within the financial ecosystem. To succeed, you must possess at least three years of engineering management experience and prior experience as a Machine Learning Engineer or equivalent. You will work to transform risk management into a product differentiator by building robust systems that address complex fraud detection challenges and improve the overall user experience for merchants.

What you'll do

  • Lead and grow an engineering team responsible for Stripe’s risk management features.
  • Ensure high technical quality through APIs, user interfaces, services, and systems development.
  • Recruit, hire, and develop engineers to enhance the Risk Detection team's capabilities.
  • Collaborate with product teams, infrastructure teams, and risk strategists on projects.
  • Influence strategic direction and platform decisions impacting Stripe’s overall operations.

What we're looking for

  • At least 3 years of engineering management experience.
  • Prior experience as a Machine Learning Engineer or equivalent.
  • Experience managing teams that collaborate with product teams to meet customer needs while building strategic technology (preferred).
  • Experience designing, measuring, and improving user experience (preferred).
  • Ability to plan in quarters and set a vision for several years (preferred).
  • Comfort working with geographically distributed teams and remote workers (preferred).

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