AI/ML Engineering Manager, Payment Intelligence

Job Title: AI/ML Engineering Manager, Payment Intelligence

Job Description:

Stripe's mission is to accelerate global economic and technological development. We handle over $1.4T in payments volume per year, which is roughly 1.3% of the world's GDP.

As an AI/ML Engineering Manager, you will oversee three critical teams within PayIntel, driving the strategic direction and execution for how Payments, and Stripe more generally, adopts AI, and how our suite of performance products leverage ML/AI to provide a consistent experience that generates revenue for Stripe.

Responsibilities:

• Lead the development of our decisioning platform, ensuring that ML/AI decisions are consistent across the lifecycle of a payment regardless of which product makes those decisions.
• Collaborate with the ML Foundations team to develop and deploy Stripe's Foundation Model to risk, conversion and growth opportunities in Payments.
• Extend our performance analytics, observability, and risk management capabilities across Stripe so that users have a consistently high quality performance experience for cost, revenue, and risk across Stripe.
• Expand our Payments Analytics solution to ensure that users are fully aware of performance opportunities and can take full advantage of our suite of products to automate improvements.

Requirements:

• 10+ years of experience building and shipping ML models that power AI/ML product features, with a strong emphasis on modern technologies such as DNNs, Transformers, and Foundation Models.
• 5+ years of experience managing and developing a team of managers, fostering their growth and ensuring alignment with strategic objectives.
• A strong builder mentality, with the ability to define a team's charter and lead the development of complex systems from scratch.
• Proven ability to shepherd large, complex projects and drive transformational change in an organization and with partners that depend on your team's platform services.
• Deep passion for solving really interesting problems, willingness to experiment, engage with customers directly to understand how well our solutions are working, and to build deep knowledge about performance that drives impact across the company.

Preferred Qualifications:

• Experience with a large-scale, data-rich product in a domain such as payments, commerce, search, or social media.
• Knowledge of the challenges and opportunities in applying ML to fraud prevention, consumer intelligence, or financial services.
• Experience building platforms that accelerate service adoption outside your organization with little maintainability overhead.