Stripe · 채용 중 516건
Full Stack Engineer, Growth
Full Stack Engineer, Growth
풀스택 엔지니어정규직미드 · 2~5년Singapore
Stripe의 Growth 엔지니어링 팀에서 Full Stack Engineer를 채용합니다. Ruby와 React를 활용해 사용자 온보딩 및 성장 실험 시스템을 구축합니다. 2~5년의 경력이 필요하며, ML 기반 추천 시스템 및 A/B 테스트 경험자를 우대합니다. 자율적인 환경에서 제품 성장을 주도할 엔지니어를 찾습니다.
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 part of the Growth Engineering team, you will build the systems, products, internal tools, and customer-facing experiences that power intelligence behind our go-to-market and product-led growth. This includes building ML powered recommendations and growth experimentation engines, multi-channel notifications systems, and key growth-related customer experiences (e.g., onboarding flows, user dashboards, product recommendations).
As a Full Stack Engineer on the Growth team, you'll build and ship experiments and product improvements across stripe.com and the Dashboard to help businesses find and get started on Stripe. You'll work on critical parts of the funnel for self-serve users, ensuring their experience on Stripe is consistently high quality and useful. With other engineers and data scientists, you'll 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.