ML Engineering Manager: Credit Risk Leader

Stripe, Inc.; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Stripe, Inc. is seeking an Engineering Manager to lead a machine learning team focused on credit risk for a financial products platform.

The role combines technical direction, people management, and cross-functional program delivery at scale to surface risky accounts, reduce credit losses, and ensure a reliable experience for legitimate users. The successful candidate will set strategy for ML-driven risk detection, own outcomes related to losses and profitability, and recruit top ML engineers

Qualifications

• 3+ years leading engineers on production ML systems.

Responsibilities

• Set and execute the strategy for detecting and mitigating credit risk through machine learning.
• Own outcomes tied to credit losses, profitability, model quality, and user experience.
• Lead the design and delivery of reliable ML models, services, and decision systems.
• Translate advances in machine learning into practical capabilities that support business goals.
• Partner with Product, Data Science, Credit Strategy, Operations, and engineering teams to prioritize work and ship cross-functional programs.
• Recruit, hire, and develop ML engineers while building an inclusive, high-performing team.
• Contribute to broader engineering and machine learning initiatives as a member of the engineering management team.

Job description

Stripe, Inc. is seeking an Engineering Manager to lead a machine learning team focused on credit risk for a financial products platform.

The role combines technical direction, people management, and cross-functional program delivery at scale to surface risky accounts, reduce credit losses, and ensure a reliable experience for legitimate users. The successful candidate will set strategy for ML-driven risk detection, own outcomes related to losses and profitability, and recruit top ML engineers