Empowering dreams, one home at a time. At Rocket Mortgage, homeownership isn’t just a goal – it’s a dream we help make real every day. You’ll work with our in-house AI tools that power prosperity by simplifying complex processes and unlocking opportunity. That means you can focus on what matters most: the human experience.
Rocket
Teams at Rocket
Sales & Banking
Technology, Data & Engineering
Don’t just build technology – build futures. As a leading fintech company, we know that tech doesn’t replace human insight. It amplifies it. We combine human creativity and AI to shape the future of homeownership and create tools that serve real needs, solve real problems, and unlock real potential.
Design & Product Management
Be the vision of the future by creating innovative digital products that simplify and solve complex problems. Our product management and design teams align strategy, design, and user needs to build solutions people love, trust, and use.
Recently posted jobs
Fintech • Real Estate • Sales • Financial Services
Supports office and retail leasing teams with transaction coordination, leasing documentation, approvals, pipeline and database maintenance, reporting, scheduling, travel logistics, and stakeholder communication. Coordinates tenant tours, conferences, meetings, marketing materials, and follow-up activities while helping improve leasing processes and workflows. Works with Legal, Asset Management, Construction, Marketing, Property Management, and Leasing Operations.
Fintech • Real Estate • Sales • Financial Services
Build and orchestrate agentic AI systems with AgentCore and LangGraph, productionize machine learning models, and develop scalable AWS cloud infrastructure. Partner with Data Scientists to move research code into production, implement MLOps, observability, monitoring, and alerting, and research emerging AI technologies. The role includes code reviews, technical specification development, Agile collaboration, and possible on-call support for production systems.
Fintech • Real Estate • Sales • Financial Services
Lead and mentor a team of data scientists to apply statistical analysis, NLP, and machine learning to solve business problems; partner with business and technology teams to align strategy, build and scale data products, monitor solution performance, run experiments and simulations, and communicate insights to technical and non-technical stakeholders.
