Engineering Manager, Developer Productivity (AI)

About the Team

We are a brand new team at Stripe, working quickly to accelerate Stripe's engineering productivity by effectively deploying LLM agents and tools to automate large swaths of the engineering workflow. We’re a cross-continent team, spanning North America and Europe, filled with high agency engineers with strong product perspectives.

About the Role

We are looking for a hands-on Manager who can effectively lead and guide a team of high agency engineers to move quickly in a rapidly growing tech space. This role will help set the product direction in a field with a nearly endless possible solution space. Folks passionate about great products, user experience, and with a strong opinion about how engineers do good work will excel in this role. Prior experience with deploying AI developer tools isn’t necessary, but is interesting.

What you’ll do

• Lead a senior, cross-continent team of engineers to move rapidly to deploy and exploit the latest in AI devtools.
• Deliver compelling user and product experiences for internal users.
• Work across the company to redefine how software engineers at Stripe work.
• Keep up with an incredibly fast paced technology environment.
• Dig deep into the data on how engineers use AI tools to seek out every bit of benefit, and help Stripe accelerate.

Minimum Requirements

• 2+ years managing high performing engineering teams, and at least 5+ years of experience as a software engineer.
• Proven success in recruiting and building great teams.
• A repeated history of delivering great, innovative product experiences - either for internal or external users.
• Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs.
• Thrives with high autonomy and responsibility in an ambiguous environment.
• Ability to foster a healthy, inclusive, challenging, and supportive work environment.

Preferred Qualifications

• Experience Tech leading, mentoring, and managing a team that shipped products to engineers.
• Experience building tools and products, ideally for technical audiences - either as internal or external customers.
• Deep curiosity and opinionation about the use of AI in software engineering.
• Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide.