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.
Our Growth team is on a mission to acquire, convert and grow millions of merchants globally across Stripe’s full suite of financial products. We are a cross functional team of engineers, scientists, marketers, designers and product managers that deliver the insights, algorithms, internal systems and tools, and user-facing experiences that fuel Stripe’s growth. We make it easy for businesses around the world to find Stripe, get started, and grow.
As a leader in the Growth Engineering team, you build teams that run experiments and ship improvements across stripe.com and the Dashboard to help businesses find and get started on Stripe. You own critical parts of the funnel for self-serve users, ensuring that their experience on Stripe is consistently of high quality and utility. You work with platform teams to turn ML-powered recommendations, messaging, and experimentation into impact that moves company metrics.
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.
The annual salary range for this role in the primary location is C$213,600 - C$320,400. This range may change if you are hired in another location. 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 specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.
Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.
Office locations
Toronto
Team
Data & Data Science
Job type
Full time