Machine Learning Engineering Manager - Fraud Detection

at Stripe

📍 United States
📍 New York City, United States
📍 South San Francisco, 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 Payments

Details

Stripe is a financial infrastructure platform for businesses. Millions of companies use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.

Risk Detection focuses on providing a delightful experience for merchants and minimizing friction while ensuring the safety of users in the financial ecosystem. The team works to notify merchants when action is taken on an account, provide clear status updates, enable guided workflows for resolving issues, and improve risk processes for good merchants.

Responsibilities

Lead and grow a strong team of engineers.
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 an exceptional team of engineers.
Execute cross-functionally with leadership, product teams, infrastructure teams, and risk strategists.
Build relationships with internal and external customers.
Champion Stripe's vision of making risk management a feature that attracts and retains merchants and becomes a product differentiator.
Participate actively in strategic direction and platform decisions that impact Stripe and its customers.
Partner with teams across Stripe to build the best merchant experience and contribute directly to Stripe's growth.

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 vision to deliver innovative solutions.
Comfortable planning in quarters and setting a vision for several years.
Comfortable working with geographically distributed teams and remote workers.