AI/ML Engineering Manager, Payment Intelligence

Stripe’s mission is to accelerate global economic and technological development. We offer financial infrastructure and a variety of services to serve the needs of a wide range of users, from startups to enterprises, with global scale and industry-leading reliability and product quality.  All financial services businesses face a trade-off between access, which we want to expand, and risk, which we want to minimize. We use machine learning to scalably and intelligently optimize across both.

Artificial Intelligence and Machine learning is an integral part of almost every service at Stripe. It is a key investment area with products and use cases that span merchant and transaction risk, payments optimization, identity, and merchant data analytics and insights. We are also using the latest generative AI technologies (such as LLMs and FMs) to re-imagine product experiences and developing AI Assistants and Agents both for our customers (e.g. Radar Assistant and Sigma Assistant), and also to make Stripes more productive across Support, Marketing, Sales, and Engineering roles within the company.

We are dedicated to accelerating business value delivery via AI/ML through the Payment Intelligence Suite of products (Radar, AuthBoost, Payments Analytics, Authentication, Disputes) and any other Stripe product that works with these solutions. Our mission is to make Stripe the leader in payments performance via AI/ML, and to allow any other Stripe team looking to balance performance across revenue, cost, and risk the same capabilities so that our shared users have a consistently great experience managing performance on Stripe. We work closely with our partners in the Information org, Risk, RFA, and Money-as-a-Service to build solutions that address our users needs and drive revenue for Stripe.

From a data perspective, Stripe handles over $1.4T in payments volume per year, which is roughly 1.3% of the world’s GDP. We process petabytes of financial data to drive analytics and AI/ML solutions. We use a combination of highly scalable and explainable models such as linear/logistic regression and random forests, along with the latest deep neural networks from transformers to LLMs. Our latest innovations have been around figuring out how best to bring transformers and LLMs to improve existing models and also enable entirely new product ideas that are only made possible by GenAI.

In this role, you will be a transformative leader with the responsibility of overseeing three critical teams within PayIntel. You will drive 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. 

• 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.

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.

• 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.

• 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.