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Engineering Manager, Developer Productivity AI

Location
US-Remote
Compensation
Not disclosed
Level
lead
Type
full time · Remote OK

Skills & Technologies

Requirements

Experience
5+ years

Joblaze summary

The Engineering Manager for Developer Productivity AI at Stripe leads a senior team focused on enhancing engineering workflows through AI tools. This role requires a blend of technical expertise and leadership skills, with an emphasis on delivering innovative product experiences for internal users. Ideal candidates have a strong background in software engineering and team management, thriving in dynamic environments where they can drive significant change. The team operates across continents, fostering a collaborative culture aimed at redefining how engineers work.

Joblaze insights

Quick facts

Is the Engineering Manager, Developer Productivity AI role remote?
It's hybrid — Stripe expects some on-site time in US-Remote.
How much experience is required?
At least 5 years of relevant experience for this Engineering Manager, Developer Productivity AI role.
Where is the role based?
Stripe is hiring for this position in US-Remote.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML.
What seniority level is this role?
Stripe targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Engineering Manager, Developer Productivity AI role at Stripe.

From the original posting

Who we are

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.

About the team

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.

What you’ll do

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. Prior experience with deploying AI developer tools isn’t necessary, but is interesting.

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.

Who you are

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.

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.

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