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 Experimentation team provides infrastructure, tooling, and expertise for A/B testing at Stripe. We build the UIs and libraries for running and analyzing experiments, APIs for assignment, and manage tooling to create and maintain relevant metrics. We partner with teams like Payments, Fraud, ML, Website, and Documentation to develop experimentation programs that lift metrics or improve safety of code and model changes. The next few years are focused on bringing more teams onboard and scaling up our infrastructure to increase the reach of experiments across Stripe.

What you’ll do

You will work closely with software engineers, data scientists, PMs, and machine learning engineers to develop experimentation programs across Stripe that lift metrics or improve safety of code and model  changes. You will build and maintain the A/B testing, reducing friction, scaling up, and adding features to meet the needs of these programs.

Responsibilities

• Partnering with teams across Stripe to develop experimentation programs.
• Building powerful, flexible, and user-friendly infrastructure and tooling to power all experimentation at Stripe.
• Maintaining availability and latency requirements to power business critical applications.

Who you are

You have a strong background in running experiments or building experimentation platforms, and build quality software. You enjoy partnering with other teams, and are excited about solving complex business problems. You’re comfortable working on distributed teams with teammates, users, and dependencies in different locations.

It’s not expected that any candidate would have expertise across every area. For instance, we have wonderful team members that have a lot of data science experience, but didn’t come in with as much systems knowledge.

Minimum requirements

• 3-5 years of experience building software applications in large scale distributed systems.
• Experience running operations for high availability, low latency systems.
• Experience working through the full life cycle of software development, from talking to users, to design and implementation, to testing and deployment, to operations.
• Enjoy partnering with other teams to drive business outcomes.

Preferred qualifications

• At least two years of experience running A/B tests or building experimentation platforms.
• Familiarity with the data science of advanced experimentation, including multi-armed bandit testing.