Jobs at Rocket Money

Rocket Money’s Talent Network allows candidates to express interest in future opportunities and connect with the company’s recruiting team. The posting does not specify a particular role, responsibilities, qualifications, compensation, travel, or clearance requirements.

Build and maintain accessible, reusable React Native and web components for Rocket Money’s design system. Collaborate with designers and engineers on UI primitives, tokens, patterns, documentation, tooling, motion, and interaction quality. Improve accessibility, testing, adoption, migration support, and developer experience through reliable shared infrastructure, Storybook examples, technical documentation, and code reviews.

Coordinates cross-functional business processes, maintains KPI and company performance reporting, and keeps stakeholders aligned on deadlines, risks, and deliverables. Partners with Data and business teams to develop insights, improve recurring workflows, resolve operational blockers, and automate manual work using AI and other tools. Supports vendor renewal tracking, requisition communications, recurring meeting preparation, action-item follow-up, and operating rhythm management.

Build and maintain Rocket Money’s Autopilot banking and investment systems. Responsibilities include developing React interfaces and Node.js/GraphQL backends, making architecture decisions, collaborating with stakeholders, managing vendor integrations, improving observability and performance, and owning the technology lifecycle from planning through production maintenance.

Build and operate end-to-end premium purchasing and subscription systems (Stripe, Apple/Google IAP, payments). Own projects from design through rollout and reliability, instrument observability, debug production, define metrics, mentor engineers, and drive technical direction and standards.

Build and maintain high-scale account linking integrations across mobile and backend. Own end-to-end features, ensure reliable data ingestion and accuracy, use observability and async workflows, collaborate with product and design, and steward data security and privacy.

The Staff ML Engineer will lead the architecture and development of AI/ML features, oversee complex systems, mentor teams, and enhance product experiences through ML solutions.