Senior Manager, AI Products & Copilot Solutions
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Lead the Credit Risk machine learning team at Stripe, setting technical strategy for detecting and mitigating credit risk across the platform. You'll manage engineers building production ML systems, partner with product and data science teams to translate advances into business outcomes, and hire and develop your team. Requires 3+ years managing engineers on production ML systems, experience delivering ML solutions to complex real-world problems, and demonstrated ability to set strategy across engineering, product, and operations. Based in San Francisco with remote flexibility.
Written from this posting by Neural Jobs AI. The full description is below.
Stripe 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.
We’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.
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Stripe builds programmable financial infrastructure for internet businesses. Its APIs and products support payments, subscriptions, billing, marketplaces, payouts, tax calculation, fraud prevention, card issuing, financial accounts, and revenue operations. Startups and large enterprises use Stripe to launch and scale commerce across countries and payment methods without assembling separate financial systems for every market. The company invests heavily in developer tools, reliability, and infrastructure intended to make online economic activity easier to start and operate.
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