Stripe
Engineering Manager, Machine Learning - Credit Risk
N/A +1 · Manager · Full-time · Posted Sep 15, 2026
- Location
- N/A
US - Experience
- 3+ years managing engineers who build and operate production machine-learning systems; other experience requirements are stated without years.
About the job
Leads Stripe’s Credit Risk team in setting strategy and delivering machine-learning systems that detect and mitigate credit risk while balancing losses, profitability, and user experience.
What you'll do
- Set strategy and own outcomes for credit-risk detection, mitigation, and related business measures.
- Lead the design and delivery of reliable machine-learning models, services, and decision systems.
- Partner across functions, and recruit, hire, and develop machine-learning engineers.
What they ask for
- 3+ years managing engineers who build and operate production machine-learning systems.
- Experience applying machine learning to complex real-world problems and leading 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.
Nice to have
- Experience in credit risk, fraud detection, financial risk, trust and safety, or another domain involving decisions under uncertainty.
- Experience balancing risk reduction with customer or user experience; building high-stakes, time-sensitive ML systems at scale; setting multi-year technical direction; or managing geographically distributed teams.
AI focus
Leads machine-learning work to detect and mitigate credit risk, including developing models, services, and decision systems and applying ML advances to business goals.
Model-written summary · the original posting is authoritative