About the role
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 Collaboration team helps Stripe employees work smarter and more efficiently, get to know each other, and request and receive help from one another. The team is nimble and creative. We work across a wide stack; on any given day, we discuss user interface design, data models, API design, infrastructure maintenance, agentic integrations, or all of the above. We’re excited to innovate in a space that traditionally isn’t thought of as in the forefront of innovation.
Being a small team, we carefully choose what we work on to have the highest leverage. This is not always easy—we work very cross-functionally, partnering with groups from engineering to Communications to senior leadership. But one of our greatest rewards is getting to sit next to and see the impact our work has on our users: our fellow Stripe employees.
What you’ll do
As an engineer on Stripe’s Collaboration team, you will be a key member of a team that acts as a force multiplier on the internal tools that Stripe uses. You will focus on building innovative AI-native experiences that help Stripe employees be more productive across various tasks and activities. You’ll collaborate with other teams across Stripe, combine traditional hands-on engineering with emerging AI capabilities, and experiment with different ideas and approaches to empower and delight your users.
Responsibilities
- Work with a team of smart, motivated engineers who put their users first.
- Own solutions from end to end, managing complexity and engaging directly with stakeholders to think through everything from success metrics to MCP tooling to the nitty-gritty implementation details of the products you build.
- Leverage the latest AI tooling to refine and optimize both your users’ workflows and your own.
- Use both qualitative and quantitative metrics to determine priorities and measure effectiveness.
- Uphold Stripe’s high standards for engineering and product quality and mentor newer team members to do the same.