Senior Full Stack Engineer, AI & Data Products

ABOUT ROCKET MONEY Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey. ABOUT THE TEAM On Team Intel, our mission is to take complex financial data and provide magical, data- and AI driven experiences to our millions of users. We’re a small but high-impact team where engineers are empowered to be co-owners of every step of the ideation → deployment lifecycle. Because of this structure, engineers on Team Intel must care deeply about our users and combine technical + creative energy to build brilliant products that make their financial lives easier and better. If you are an AI/ML-passionate software engineer, this is an incredible opportunity to be positioned to grow your capabilities in this skill set. IN THIS ROLE, YOU'LL: Work on a cross-functional team of software engineers, ML engineers, and product managers to implement full-stack, user-facing features at the core of Rocket Money Implement AI/LLM/ML tools our ML engineers are building (and if you’re willing, contribute to the building of them yourself!) Develop with TypeScript across the Node.js, GraphQL, and PostgreSQL stack - mostly shipping backend features, but also at times building user interfaces using React in order to own the full-stack and experiment quickly Own complex features end-to-end, from initial product & technical design stages through to production, ensuring the appropriate engineering rigor has been applied for scalability, reliability, and observability Help to maintain our high technical bar, participating in code reviews and design discussions to ensure that we're applying appropriate rigor to our software development process Support a collaborative and innovative culture by sharing your ideas via RFCs, participating in solution ideation, and giving your peers thoughtful feedback on their code and their proposals ABOUT YOU You have 5+ years of professional experience working with some combination of Node.js/TypeScript, React (or similar framework), and Postgres (or similar relational database). Experience with GraphQL is a plus: it’s what we use. Experience with Python is a plus: it’s what the ML engineers we work with use. Experience with training/tuning ML/AI models is a plus: software engineers on this team can certainly contribute in this arena. Experience with ops/infra is a plus: we have a great infra team, but the more we contribute to shipping, the better it is for us. You are curious/interested in machine learning and the rapidly-evolving world of AI, and are excited about the opportunity to work side-by-side with ML engineers and help ship ML products to users. You're not just interested in what you're building, but also why you're building it. You have a drive to ship product that deeply matters to users. You get energized by complex problem spaces with many edge cases. You love distilling ambiguity into tractable todos. Personal finance has a LOT of data-variability - building elegant features that work for everyone is not for the faint of heart! You love continual evaluation & improvement and enjoy ideating on how to launch a v1 with a feedback loop as the means of training a brilliant v2. You have the same mentality about yourself and love giving & receiving feedback. WE OFFER Health, Dental & Vision Plans Life Insurance Long/Short Term Disability Competitive Pay 401k Matching Team Member Stock Purchasing Program (TMSPP) Learning & Development Opportunities Tuition Reimbursement Unlimited PTO Daily Lunch, Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional Information: Salary range of $ 150,000 - $185,000/ year + bonus + benefits. B ase pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.