Machine Learning Engineering Manager

Who we are

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 goal of our team is to turn the universe of businesses into the best source of information available. We’re leveraging public data from Stripe’s current businesses, utilizing their website information to conduct insightful analyses—like determining what industry a business operates in or generating tailored product descriptions. By being part of this team, you’ll play a vital role in shaping tools that make a real difference in the lives of our users, allowing them to streamline their processes and drive their success.

What you’ll do

Responsibilities

• Driving an ambitious vision for AI/ML that benefits our users
• Setting the technical & process direction for the team based on business goals
• Brainstorm and coordinate product integrations with partner teams
• Proposing new ideas and building 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 Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy 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

• Have at least 4 years of experience managing ML teams
• Lead by example in high-growth, high-impact, ambiguous environments
• Have 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