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.
Stripe’s Experimentation Platform sits at the heart of how we build products. The platform provides random assignment, metrics computation, rigorous statistical analysis, versatile reports that let every Stripe team ship confidently, learn quickly, and keep users safe. We serve experiments at scale, powering decisions for launches that move trillions of dollars of payments volume. The team is a tight-knit group of engineers who partner closely with data scientists and product thinkers, united by a commitment to correctness, low latency, and developer ergonomics.
We’re looking for a Staff Software Engineer who will set the technical direction for the next generation of Stripe’s Experimentation Platform—one that is as intuitive for internal users to adopt as it is powerful under the hood. You will architect and build systems that provide easy setup, low-latency results, and statistically sound analysis, all while being simple to integrate, flexible to extend, and ready to scale an order of magnitude beyond today’s traffic. You will partner closely with product teams and data scientists to ensure they have a seamless end-to-end experimentation experience—from defining a hypothesis to making a launch decision. Your work will directly influence how quickly and safely Stripe ships every new feature.
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.
This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.
The annual US base salary range for this role is $203,600 - $305,400. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
Office locations
Seattle, or South San Francisco HQ
Remote locations
Remote in United States
Team
Machine Learning
Job type
Full time