Engineering Manager, Machine Learning - Credit Risk

Engineering Manager, Machine Learning Credit RiskStripe is a financial infrastructure platform for businesses. Millions of companies from the world's largest enterprises to the most ambitious startups use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.The Credit Risk team develops intelligent systems that help Stripe identify high-risk accounts, minimize credit losses, and improve profitability. Credit risk is a complex machine learning problem that requires us to distinguish emerging risk from healthy business activity while giving legitimate users a clear and reliable experience.Our team consists of machine learning engineers who build models and systems used across Stripe's credit-risk products. We work closely with partners in Product, Data Science, Credit Strategy, Operations, and other engineering teams. Together, we help stakeholders make informed decisions and support sustainable growth wherever credit risk affects Stripe's products.We're looking for an engineering manager to lead the Credit Risk team and shape how Stripe uses machine learning to manage credit risk at scale. You'll set the team's technical and product direction, connect advances in machine learning to measurable business outcomes, and help engineers deliver reliable systems that balance loss prevention with the user experience.You'll work across engineering, product, data science, and risk to identify the highest-impact opportunities and turn them into a focused roadmap. You'll also hire and develop engineers, strengthen the team's technical practices, and contribute to machine learning and engineering leadership across Stripe.Set and execute the strategy for detecting and mitigating credit risk through machine learningOwn outcomes related to credit losses, profitability, detection quality, and the user experienceLead the design and delivery of reliable machine learning models, services, and decision systemsTranslate advances in machine learning into practical capabilities that support the team's business goalsPartner with Product, Data Science, Credit Strategy, Operations, and engineering teams to define priorities and deliver cross-functional programsRecruit, hire, and develop machine learning engineers while building an inclusive and effective teamContribute to broader engineering and machine learning initiatives as a member of Stripe's engineering management teamWe're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.3+ years of experience managing engineers who build and operate production machine learning systemsExperience applying machine learning to complex, real-world problems and leading the technical delivery of models and supporting systemsExperience setting strategy and working across engineering, product, data science, operations, and business teams to deliver measurable outcomesExperience recruiting, managing, and developing engineers in a fast-moving environment with significant autonomyExperience with credit risk, fraud detection, financial risk, trust and safety, or another domain involving decisions under uncertaintyExperience balancing risk reduction with customer or user experienceExperience building machine learning systems that support high-stakes, time-sensitive decisions at scaleExperience setting a multi-year technical direction while delivering progress through quarterly plansExperience managing geographically distributed teams