Engineering Manager, Machine Learning - Fraud Detection

at Stripe

📍 Canada
📍 United States
📍 Toronto, Canada
📍 Atlanta, United States
📍 Chicago, United States
📍 New York City, United States
📍 South San Francisco, United States
📍 Seattle, United States

USD 258,600-387,800 per year

SENIOR

✅ Remote ✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

API @ 4 Engineering Management @ 6 Machine Learning @ 4

Details

Stripe is a financial infrastructure platform for businesses. The Risk Detection team focuses on providing a delightful experience for merchants, minimizing friction, and ensuring the safety of users in the financial ecosystem. The team works on merchant notifications, guided workflows, risk processes, and experiences that help good merchants resolve issues smoothly.

Responsibilities

Support the team in delivering a high level of technical quality and impact through APIs, user-facing experiences, services, and systems.
Recruit, hire, scale, and develop a strong team of engineers.
Execute cross-functionally with leadership, product teams, infrastructure teams, and risk strategists.
Be actively involved in strategic direction and platform decisions that impact Stripe and its customers.
Build relationships with internal and external customers.
Champion the vision of making Stripe's risk management a feature that attracts and retains merchants and becomes a product differentiator.

Requirements

Minimum Requirements

At least 3 years of engineering management experience.
Prior experience as a Machine Learning Engineer or equivalent.

Preferred Qualifications

Experience managing teams that collaborate with product teams, respond rapidly to customer needs, and build strategic and foundational technology and capabilities.
Enjoy designing, measuring, and improving user experience.
Empathy for customer needs combined with the ability to develop a long-term vision.
Comfortable planning in quarters and setting a vision for several years.
Comfortable working with geographically distributed teams and remote workers.