Engineering Manager, ML for Credit Risk & Impact

Stripe; San Francisco (CA); Hybrid; USD 259,000 - 388,000; Full time

Benefits offered by this job

Equity

Company bonus or sales commissions/bon

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 the development and scaling of machine learning systems that assess credit risk and optimize profitability. You will set technical direction, translate ML advances into measurable business outcomes, and mentor engineers.

You will collaborate with Engineering, Product, Data Science, and Risk to drive priorities, build high-performing teams, and deliver reliable, low-loss credit decisions at scale.

Qualifications

• 3+ years of experience managing engineers who build and operate production machine learning systems.
• Experience applying machine learning to complex, real-world problems and leading the technical delivery of models and supporting systems.
• Experience setting strategy and working across engineering, product, data science, operations, and business teams to deliver measurable outcomes.
• Experience recruiting, managing, and developing engineers in a fast-moving environment with significant autonomy.

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 the team’s 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 machine learning engineers while building an inclusive and effective team
• Contribute to broader engineering and machine learning initiatives as a member of Stripe’s engineering management team

Skills

People management

Machine learning systems

Cross-functional collaboration

Recruiting engineers

Strategy setting

Distributed teams

Job description

Stripe is seeking an Engineering Manager for the Credit Risk team to lead the development and scaling of machine learning systems that assess credit risk and optimize profitability. You will set technical direction, translate ML advances into measurable business outcomes, and mentor engineers.

You will collaborate with Engineering, Product, Data Science, and Risk to drive priorities, build high-performing teams, and deliver reliable, low-loss credit decisions at scale.