# Engineering Manager, Developer Productivity AI

**Company**: Stripe
**Location**: US-Remote
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/stripe/jobs/7736943
**Canonical**: https://yubhub.co/jobs/job_adaeee82-278

## Description

## Job Title

Engineering Manager, Developer Productivity AI

## About the Role

We are seeking a hands-on Engineering Manager to lead a team of high-agency engineers in accelerating Stripe's engineering productivity by effectively deploying LLM agents and tools to automate large swaths of the engineering workflow.

## Responsibilities

- 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

- 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.

## Skills

### Required
- AI development tools
- LLM agents
- engineering productivity
- software engineering
- cross-functional collaboration
- team management
- product development

### Nice to have
- tech leading
- mentoring
- team building
- product innovation
- communication skills