Engineering Manager, Developer Productivity AI

Stripe Stripe · Fintech · United States · 8126 Developer Infrastructure

Manager for a new team focused on accelerating Stripe's engineering productivity by deploying LLM agents and tools to automate engineering workflows. The role involves leading a senior, cross-continent team, setting product direction, and delivering user experiences for internal engineers.

What you'd actually do

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

Skills

Required

  • managing high performing engineering teams
  • software engineer
  • recruiting and building great teams
  • delivering great, innovative product experiences
  • Effective cross-functional collaboration
  • think rigorously
  • communicate clearly
  • 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

Nice to have

  • Tech leading, mentoring and managing a team that shipped products to engineers
  • building tools and products, ideally for technical audiences
  • 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

What the JD emphasized

  • move quickly
  • rapidly growing tech space
  • nearly endless possible solution space
  • move rapidly
  • incredibly fast paced technology environment
  • Thrives with high autonomy and responsibility in an ambiguous environment.

Other signals

  • LLM agents
  • automate engineering workflow
  • deploying AI developer tools