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.
With all this data, the Data Science team builds data and intelligence into our product, sales, and operations. This spans from building data foundations, to applying statistical techniques and machine learning to measure and optimize our data-driven products, to rapid in-depth analysis that inform Stripe’s strategic decisions.
We’re looking for a hands-on person with a strong background and demonstrated leadership in building data applications. As a Staff Engineer you’ll be empowered to make decisions with a significant impact on Stripe, and help guide our investments and strategy while making our data reliable, secure, and a delight to use.
You will be a key contributor to the next-generation of our metrics platform, with a core charter to make it easier for Stripe to build and operate high-quality metrics. We are in the midst of a multi-year journey to revamp our data warehouse by placing high-quality data at the core, by design. Metrics platform is the part of this core vision, and you will make a step-function difference in our ability to empower Product, Engineering, and Science teams and have an impact on the decision Stripe makes every day.
Staff Engineers at Stripe are empowered to operate autonomously and are counted on to help drive Stripe forward.
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 $190,700 - $286,200. 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
Remote locations
Remote in United States
Team
Data & Data Science
Job type
Full time