Engineering Manager, Developer Productivity AI

About the role

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. We are a brand new team, working quickly to accelerate Stripes 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.

Responsibilities

• You will:
• 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.

Requirements

• 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
• 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.
• 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.

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