This is a high-impact leadership role for a seasoned AI/ML expert who has moved beyond individual contribution into managing other managers ("managing managers"
Work type: onsite
Location: US-SF, US-NYC, US-SEA
Salary: $331,200 – $496,800/yr
Type: Full-time
This is a high-impact leadership role for a seasoned AI/ML expert who has moved beyond individual contribution into managing other managers ("managing managers"). You’ll need at least 10 years of experience building ML models and 5+ years in leadership. The ideal candidate has deep technical roots in modern architectures—specifically Transformers and Foundation Models—and the architectural vision to build platforms that scale across a global financial ecosystem processing $1.4T in volume. The standout aspect of this role is the sheer scale and strategic importance. You aren't just managing a single feature; you are overseeing three critical teams within the Payment Intelligence suite. You will have the opportunity to deploy Stripe’s Foundation Model to solve complex problems in risk, conversion, and growth. While specific salary data isn't provided, this is a "senior-level" management role at a Tier-1 tech company, requiring on-site presence in major hubs like NYC, SF, or Seattle. **You might be a good fit if you...** * Have successfully managed a "team of teams" and mentored other engineering managers. * Want to apply LLMs and Generative AI to real-world financial problems rather than just research. * Possess a "builder mentality" and can define a department's charter from the ground up. * Thrive in data-rich environments where your decisions impact over 1% of the world's GDP.
## Who we are
### About Stripe
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.
### About the team
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](https://stripe.com/newsroom/news/stripe-2024-update) per year, which is roughly [1.3% of the world’s GDP](https://en.wikipedia.org/wiki/Gross_world_product). 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.
## What you’ll do
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.
### Responsibilities
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.
### Minimum requirements