Engineering Manager (Developer Productivity AI)

Auto Import

Requirements

  • Prior experience with deploying AI developer tools isn’t necessary, but is interesting
  • ,
  • 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
  • ,
  • (Desirable) Experience Tech leading, mentoring and managing a team that shipped products to engineers
  • ,
  • (Desirable) Experience building tools and products, ideally for technical audiences - either as internal or external customers
  • ,
  • (Desirable) Deep curiosity and opinionation about the use of AI in software engineering
  • ,
  • (Desirable) Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide

What the job involves

  • We are looking for a hands-on Manager who can effectively lead and guide a team high agency engineers to move quickly on a rapidly growing tech space
  • ,
  • They 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
  • ,
  • 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
Back to blog