Who we are
About Stripe
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.
About the team
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. In short we make it easy for people to act on their interest in Stripe.
What you’ll do
As part of the team, you will build and own the back-end systems, data and machine learning driven products, internal tools, and customer-facing experiences that power intelligence behind our go-to-market and product-led growth. This includes building our ML powered recommendations and growth experimentation engine(s), multi-channel notifications systems, and large scale data infrastructure and services powering the experience.
Responsibilities
- Lead scoping, design, and implementation of large scale data driven system, laying the groundwork for early-stage products to iteratively evolve and scale
- Own and operate services at multiple levels of the stack with an eye towards improving maintainability over the long term
- Improve engineering standards, tooling, and processes
- Interact with product and business leaders to help develop and execute on a data-first growth strategy that scales with Stripe
Who you are
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.
Minimum requirements
- 10+ years experience in full-stack or frontend engineering
- You are an expert in building and maintaining highly available and scalable systems
- You have excellent oral and written communication
- You have proven ability to thrive in a collaborative environment involving different stakeholders and subject matter experts
- You are looked at as an expert in your area and serve as a trusted advisor to your peers and leaders.
- You have proven experience in guiding and mentoring engineers of various seniority levels.
Preferred qualifications
- Experience with large scale data systems, machine learning, recommender systems, product-led growth.
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