# Full Stack Engineer, Growth

**Company:** [Stripe](https://hotfix.jobs/companies/stripe)
**Location:** Unspecified
**Role:** Fullstack Engineering
**Experience:** 2+ years
**Skills:** Ruby, React, JavaScript, CSS, Machine Learning, Recommender Systems, A/B Testing, Redshift, Presto, Trino, Observability, Incident Response
**Posted:** 2026-08-30

> Build full-stack growth experiences across Stripe.com and the Dashboard, including Ruby APIs, React interfaces, ML-powered recommendations, and experimentation systems. The role requires 2–5 years of software engineering experience and strong collaboration skills.

## Job Description

## 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 following team conventions and best practices.

## Requirements
- 2–5 years of industry software engineering experience with strong coding skills in any programming language.
- Experience delivering small projects independently and contributing to medium-sized projects with guidance.
- Strong collaboration skills and the ability to work across team workstreams.
- Ability to thrive with autonomy and responsibility, with an entrepreneurial mindset.
- Strong focus on users’ needs and high-quality user experiences.

## Nice-to-haves
- Experience with machine learning, recommender systems, product-led growth, or lifecycle marketing.
- Familiarity with analysis of large datasets, particularly using Redshift, Presto, or Trino.
- Experience incorporating observability into production systems and supporting on-call and incident response.

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