Engineering Manager, Collaboration Engineering

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

The StripeOS engineering team builds the tools Stripe uses to plan and run its work: setting goals, making and recording decisions, and tracking projects from kickoff to launch.

These tools sit at the center of how Stripe operates. Every team relies on them to stay aligned, make sound decisions, and move quickly, so every improvement we make compounds across the company. Recent advances in AI give us an opportunity to rethink what these tools can do.

We’re an AI-native team reimagining how Stripe plans, decides, and executes. We build polished web and mobile experiences alongside AI agents and assistants that do real work on behalf of Stripe employees. We experiment quickly, put ideas in front of real users, and scale the ones that work. As we do, our scope keeps growing.

Our users are Stripe employees in every function and at every level, from engineers and product managers to company leadership. We partner closely with the teams that build Stripe’s internal AI platform and developer tooling, and with groups across the company, from engineering to marketing to senior leadership.

What you’ll do

We’re looking for a product-minded engineering leader who’s excited to transform how a company plans and executes its work. You’ll lead the StripeOS engineering team as it builds the next generation of Stripe’s planning and execution tools. You’ll set the team’s direction, grow and support its engineers, and stay close to the technical work: shaping architecture, prototyping new ideas alongside your team, putting them in the hands of real users, and turning the strongest experiments into products used across Stripe.

This leadership role combines technical depth with broad product scope. You’ll work hand in hand with product managers and designers to define what we build, turning ambitious ideas into the right technical solutions. You’ll combine full-stack engineering with emerging AI capabilities and guide your team through open-ended problems where the right product, interface, and architecture emerge together. The potential impact of this role is enormous, and it will keep growing across the entire company.

Responsibilities

Drive the team’s vision for AI-native workflows: rethink how Stripe employees plan, decide, and execute with AI at the core, and build agents and assistants that synthesize context, automate repetitive work, and help people make better decisions

Partner with product managers and designers to set the team’s direction and roadmap, turn ambitious ideas into well-scoped technical plans, and guide the delivery of full-stack products, including web and mobile experiences, AI-powered features, and integrations with internal tools and platforms

Stay deeply engaged in the technical work: review designs, weigh in on architecture, and prototype new approaches with your team

Lead, grow, and support your engineers through coaching, mentoring, and clear feedback, and partner with Stripe’s recruiting team to recruit top engineering talent and build a diverse, high-performing team

Shape how the team operates, from engineering practices and standards for experimentation to AI-native development that helps the team prototype faster and ship with confidence

Engage directly with users across Stripe to understand how they work, turn what you learn into products they love, and measure the impact of what the team ships to double down on what makes Stripe employees more productive

Set a high bar for quality, reliability, security, and privacy, especially when building on sensitive internal context

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

5+ years of engineering management experience, leading and growing teams that build and ship products at scale, with a track record of taking critical user-facing products from prototype to production and keeping them reliable as they scale

10+ years of software development experience, with a strong background in full-stack development, technical depth in modern web technologies, performance, and user experience, and the ability to guide engineers on architecture and the design of extensible systems that serve many kinds of users

Hands-on experience with modern AI tools and a clear point of view on how AI agents and AI-native workflows can transform the way people work

Comfort leading through ambiguity: framing the right problems, experimenting and iterating, making pragmatic technical decisions, and charting a clear path forward

Excellent cross-functional collaboration skills, with experience partnering closely with product managers and designers to define and build products, and a product-minded approach to building delightful experiences that solve real problems and deliver meaningful outcomes for users and the business

Preferred qualifications

A passion for enabling people to do their best work

Experience shipping AI agents or products powered by large language models to production

Experience building productivity, collaboration, or internal tools used across a large organization

Experience taking new products from initial concept through launch and iteration

Experience working in and with geographically distributed teams

Experience with modern web and backend technologies, such as Go, Ruby, TypeScript, and React

Ability to drive work forward autonomously while bringing your team and partners along toward shared goals

Rigorous thinking and comfort making hard decisions and tradeoffs