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 Demand Generation Systems team is on a mission to build the most measurable, cross-channel messaging capability possible, to engage customers. We aspire to build the most efficient systems that power human assisted workflow accelerating our customers' Stripe journey. We are a cross functional team of engineers, analysts, marketers, and product managers that deliver the insights, internal systems and tools that fuel Stripe’s growth.
As part of the Demand Generation Systems team, you will own systems that power go-to-market motions productizing gathered insights and intelligence. This includes building tools that 1/ identify when a human assisted customer experience is needed 2/ codify and operationalize human assisted workflow through systems 3/ use AI/ML to accelerate the workflow and 4/ build observability to drive insight and optimizations.
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 US base salary range for this role is $203,900 - $305,900. 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 locations
Remote in United States
Team
Data & Data Science
Job type
Full time