Full Stack Engineer, Growth

at Stripe

📍 Singapore, Singapore

SGD 122,400-183,600 per year

MIDDLE

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

API @ 3 CSS @ 3 Experimentation @ 3 JavaScript @ 3 Machine Learning @ 3 Marketing @ 3 Observability @ 3 Presto @ 2 React @ 3 React, JavaScript Ruby @ 3 Trino @ 2

Details

Stripe is a financial infrastructure platform for businesses. The Growth Engineering team builds systems, products, internal tools, and customer-facing experiences that support product-led growth, including ML-powered recommendations, experimentation engines, multi-channel notification systems, onboarding flows, dashboards, and product recommendations.

Responsibilities

Build and maintain scalable systems and customer experiences that help businesses discover, onboard, and grow with Stripe products.
Develop robust backend APIs in Ruby that power responsive frontend experiences using React, JavaScript, and CSS.
Implement and iterate on ML-driven recommendations, experimentation frameworks, and growth optimization features.
Work with data scientists and product managers to translate growth hypotheses into technical implementations and A/B tests.
Contribute to shared platforms and tools that enable rapid experimentation across growth initiatives.
Debug production issues across the full stack and participate in on-call rotations.
Write maintainable, well-tested code that follows team conventions and best practices.

Requirements

Minimum Requirements

2+ years of industry software engineering experience with strong coding skills in any programming language. The interview process is language agnostic.
Experience delivering small projects independently and contributing to medium-sized projects with guidance.
Strong collaboration skills, including the ability to work across work streams and contribute to peers' success.
Ability to thrive with a high level of autonomy and responsibility, along with an entrepreneurial mindset.
Deep care for users' needs and the ability to steward great user experiences.

Preferred Qualifications

Experience with machine learning, recommender systems, product-led growth, or lifecycle marketing.
Familiarity with basic analysis of large datasets, particularly using Redshift, Presto, or Trino.
Experience incorporating observability into production systems and supporting their operation through on-call participation and incident response.