ML Engineering Manager, LLM Foundation

About Stripe

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.

About The Team

The newly formed Stripe Assistant team aims to build an assistant for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production.

What You’ll Do

Responsibilities

Drive an ambitious vision for AI/ML that benefits our users.
Set the technical & process direction for the team based on business goals.
Brainstorm and coordinate product integrations with partner teams.
Propose new ideas and build prototypes.
Be an integral part of a larger ML community internally & externally.
Hire & develop a world-class team to deliver high-quality ML systems.
Coach engineers to help them grow in their careers and maintain a high bar.

Who You Are

We are looking for ML Engineers who are passionate about using ML to improve products and delight customers. You have experience developing streaming feature pipelines, building ML models, and deploying them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action.

Minimum Requirements

At least 5 years of experience managing ML teams.
Lead by example in high-growth, high-impact, ambiguous environments.
Experience building & shipping ML systems.
Enjoy measuring & improving user experience.
Hold yourself and others to a high bar when working with production systems.
Thrive in a collaborative cross-functional environment.

Preferred Qualifications

Experience in shipping LLM & RAG systems.

Hybrid Work at Stripe

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

Pay and Benefits

The annual US base salary range for this role is $253,900 - $380,900. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.