Engineering Manager, Machine Learning, Fraud Detection

Stripe

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Toronto, CanadaAtlantaChicagoNew York, NYSeattleSouth San 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 responsibility involves managing the engineering lifecycle to deliver high-quality technical impact through APIs, services, systems, and user-facing experiences. You will be responsible for recruiting, hiring, and developing your team while collaborating cross-functionally with leadership, product teams, infrastructure teams, and risk strategists to shape strategic platform decisions. The role requires at least three years of engineering management experience and prior experience as a Machine Learning Engineer or equivalent. You will work specifically on the fraud detection domain, focusing on minimizing friction for merchants while ensuring safety within the financial ecosystem by building tools that make risk management a core product differentiator for users.

What you'll do

  • Lead and grow a team of engineers to deliver high-quality technical solutions.
  • Build and maintain relationships with internal and external customers.
  • Champion the vision of making Stripe’s risk management a product differentiator.
  • Execute cross-functionally with leadership, product teams, infra teams & risk strategists.
  • Be actively involved in strategic direction and platform decisions impacting all of Stripe.

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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