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
The Data Science team builds data and intelligence into our product,
sales, and operations. This spans across building data foundations and
applying statistical techniques and machine learning to measure and
optimize our product, build data-driven products, and conduct in-depth
analysis to inform strategic decisions.
As a Senior 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: from enabling metric accessibility and consistency to
revamping our data warehouse with a goal to drastically improve data
quality at scale. You will make a step-function difference in our
Product, Engineering, and Science teams’ ability to understand Stripe’s
business and make high-quality decisions that best serve our users.
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
The annual US base salary range for this role is $157,100 - $212,500. 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.
Remote in United States, or Canada
Data & Data Science