Engineering Manager, Collaboration Engineering

Details

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. Stripe’s mission is to increase the GDP of the internet.

About the Team

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

The team is an AI-native group reimagining how Stripe plans, decides, and executes. It builds polished web and mobile experiences alongside AI agents and assistants that perform work on behalf of Stripe employees. The team experiments quickly, puts ideas in front of real users, and scales successful solutions.

The team’s users include Stripe employees in every function and at every level, from engineers and product managers to company leadership. The team partners closely with Stripe’s internal AI platform and developer tooling teams, as well as groups across engineering, marketing, and senior leadership.

Responsibilities

• Drive the team’s vision for AI-native workflows by rethinking how Stripe employees plan, decide, and execute with AI at the core.
• 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 technical plans, and guide delivery of full-stack products.
• Lead development of web and mobile experiences, AI-powered features, and integrations with internal tools and platforms.
• Stay deeply engaged in technical work by reviewing designs, evaluating architecture, and prototyping new approaches with the team.
• Lead, grow, and support engineers through coaching, mentoring, and clear feedback.
• Partner with Stripe’s recruiting team to recruit engineering talent and build a diverse, high-performing team.
• Shape engineering practices, experimentation standards, and AI-native development processes.
• Engage directly with users across Stripe to understand how they work, turn insights into products, and measure the impact of shipped solutions.
• Maintain high standards for quality, reliability, security, and privacy, particularly when working with sensitive internal context.

Requirements

Minimum Requirements

• 5+ years of engineering management experience leading and growing teams that build and ship products at scale.
• 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.
• Strong full-stack development experience and technical depth in modern web technologies, performance, and user experience.
• Ability to guide engineers on architecture and the design of extensible systems serving many types of users.
• Hands-on experience with modern AI tools and a clear perspective on how AI agents and AI-native workflows can transform the way people work.
• Comfort leading through ambiguity, framing problems, experimenting and iterating, making pragmatic technical decisions, and charting a clear path forward.
• Excellent cross-functional collaboration skills, including experience partnering with product managers and designers to define and build products.
• A product-minded approach to building user-friendly experiences that solve real problems and deliver meaningful outcomes.

Preferred Qualifications

• 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 teams and partners toward shared goals.
• Rigorous thinking and comfort making difficult decisions and tradeoffs.