Remote ML Engineering Manager - Credit Risk

Stripe; Atlanta (GA); Hybrid; USD 259,000 - 388,000; Full time

Benefits offered by this job

Equity

401(k) plan

Medical, dental, and vision benefits

Wellness stipends

Job summary

Stripe is seeking an Engineering Manager for the Credit Risk team to lead ML efforts at scale. You’ll set technical direction, connect ML advances to business outcomes, and deliver reliable models and services that balance loss prevention with user experience.

You’ll collaborate with Product, Data Science, Credit Strategy, Operations, and other engineers, hire and mentor engineers, and advocate strong engineering practices as part of Stripe’s leadership team.

Qualifications

• 3+ years of experience managing engineers who build and operate production ML systems.
• Experience applying ML to complex real-world problems and leading model delivery.
• Experience setting strategy across engineering, product, data science, operations, and business teams to deliver measurable outcomes.
• Experience recruiting and developing engineers in a fast-moving environment.

Responsibilities

• Set and execute the strategy for detecting and mitigating credit risk through machine learning
• Own outcomes related to credit losses, profitability, detection quality, and the user experience
• Lead the design and delivery of reliable machine learning 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 define priorities and deliver cross-functional programs
• Recruit, hire, and develop ML engineers while building an inclusive and effective team
• Contribute to broader engineering and ML initiatives as a member of Stripe’s engineering management team

Skills

Managing ML engineers

ML engineering leadership

Cross-functional collaboration

Recruiting engineers

Job description

Stripe is seeking an Engineering Manager for the Credit Risk team to lead ML efforts at scale. You’ll set technical direction, connect ML advances to business outcomes, and deliver reliable models and services that balance loss prevention with user experience.

You’ll collaborate with Product, Data Science, Credit Strategy, Operations, and other engineers, hire and mentor engineers, and advocate strong engineering practices as part of Stripe’s leadership team.