Engineering Manager, Machine Learning Infrastructure San Francisco

Build the platform to drive automated insights and decisions for Stripe and our users

Stripe makes it easy for businesses around the world to get started and optimize their operations; supporting this efficiently requires high-quality, automated insights and decisions. The machine learning infrastructure team provides the platform for building and running highly predictive models at scale to support Stripe’s products (like Radar) and run Stripe efficiently (from risk and compliance to sales and support). The team supports the end-to-end development and deployment of machine learning models at Stripe including the infrastructure for defining features and training and evaluating models, as well as the tools to understand the results.

We’re looking for a manager to lead this team building a powerful and easy-to-use platform that drives systematic improvements in model quality and enables engineers and data scientists to easily experiment with new applications of machine learning at Stripe.

You will:

  • Work with engineers, data scientists, and other leaders at Stripe to understand business problems that machine learning can help with and ensure the team’s roadmap supports them
  • Support the engineering team in achieving a high level of technical quality, reliability, and ease-of-use
  • Manage processes to help the team do its best work and work effectively with the rest of Stripe
  • Recruit great engineers, in collaboration with Stripe’s recruiting team
  • Develop engineers on the team, helping them advance in their careers
  • Contribute to engineering-wide initiatives as a member of Stripe’s engineering management team
  • Be attuned to the broader technological ecosystem beyond Stripe to understand how we can use (e.g. training models on Kubernetes) or contribute to it (e.g. supporting Hypothesis)

You may be a good fit if:

  • You’ve managed teams that shipped and operated critical infrastructure
  • You have a strong quantitative and analytical background
  • You’re worked with geographically distributed teams
  • You’ve successfully recruited great teammates
  • You thrive on a high level of autonomy and responsibility
  • You’re clear and persuasive in writing and in person
  • You are excited about collaborating with teammates across engineering and data science

Some of the people you’ll work with:


We look forward to hearing from you.

Apply now