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
83 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 the Engineering Manager, Machine Learning - Fraud Detection, you will lead and grow a high-performing team of engineers within the Risk Detection department. Your primary focus involves building relationships with internal and external customers while championing a vision to make risk management a key product differentiator. You will be responsible for recruiting, hiring, and developing your team while ensuring they deliver high technical quality across APIs, services, and user-facing systems. The role requires collaborating cross-functionally with leadership, product teams, infrastructure teams, and risk strategists to influence strategic platform decisions. 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 solve critical problems in the financial ecosystem by minimizing friction for merchants while ensuring safety through advanced fraud detection systems.

What you'll do

  • Lead and grow a high-performing team of engineers through recruiting, hiring, and professional development.
  • Deliver high-quality technical solutions across APIs, user-facing experiences, services, and internal systems.
  • Partner cross-functionally with leadership, product teams, infrastructure teams, and risk strategists to achieve goals.
  • Influence strategic direction and platform decisions that impact Stripe's global customer base.
  • Develop features that improve the merchant experience and differentiate Stripe’s risk management products.
  • Build technical capabilities that are both strategically foundational and responsive to immediate customer needs.
  • Design, measure, and improve user experiences for merchants within the financial ecosystem.

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 and build 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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