Rocket Money
Jobs at Rocket Money
Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.
Success! We'll use this to further personalize your experience.
Recently posted jobs
Financial Services
Provides written customer support through inbound chat and email. Manages multiple queues, resolves member issues, explains financial topics clearly, de-escalates concerns, follows up on open requests, and improves workflows and service processes.
Financial Services
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.
Financial Services
Handle inbound member chat and email support, prioritize and manage multiple queues, develop and maintain processes, resolve unique member issues, de-escalate and follow up on open cases, and communicate complex financial topics clearly in writing.
Financial Services
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.
Financial Services
The Creative Project Manager at Rocket Money oversees project production, enhances workflows, supports cross-functional collaboration, and manages digital ad creative from concept to delivery.
Financial Services
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.
Financial Services
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.



