Senior Team Leader, Data Science & Machine Learning

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 🤝

The Rocket Money Data Science and Machine Learning team builds AI-powered experiences that help our members achieve their financial goals. Our team consists of data scientists, machine learning engineers, and software engineers who work within an embedded organizational structure to deliver user-facing ML products, drive experimentation, and build scalable AI systems. Team members collaborate closely with product and engineering teams to transform innovative ideas into production features.

We're growing our team and are looking for a Senior Team Leader who can build and nurture a high-performing data science and machine learning team while fostering an environment of technical excellence, continuous learning, and impactful product delivery.

IN THIS ROLE, YOU'LL:

• Lead and manage a team of 7-10 data scientists and ML engineers, creating processes that enable autonomous operation within cross-functional teams while maintaining high quality standards and accountability for ML product delivery.
• Drive architectural strategy for AI/ML systems, with particular focus on implementing LLM-powered features and GenAI applications that enhance our product experience and customer engagement.
• Guide the development and implementation of our next-generation chat experiences and AI-augmented analytics initiatives, ensuring successful delivery of conversational interfaces for both customer-facing and internal tools.
• Direct the development of AI and ML-driven personalization systems across our product suite. Engender great developer experiences for AI and ML systems across our technology teams.
• Foster strong working relationships across engineering, product, and design teams to ensure successful integration of AI and ML systems into our technology stack.
• Create ambitious yet achievable quarterly roadmaps that advance our ML/AI infrastructure while delivering tangible value to users through enhanced product experiences.
• Be accountable for making, measuring, and delivering on team commitments, particularly in experimentation and the systematic deployment of ML/AI features.
• Invest in your team by building and supporting individualized growth and development plans aligned with our company’s organizational strategy, focusing on technical abilities and product shipping mindset.
• Create impactful mentorship relationships that drive higher quality ML system design and implementation across teams.

ABOUT YOU 🦄

• You have deep expertise in machine learning and a strong understanding of modern ML systems architecture, especially in deploying LLMs and generative AI in production environments.
• You have 3+ years of experience managing data scientists and ML engineers. You've successfully led teams in delivering user-facing AI and ML products and know how to cultivate a culture of technical excellence alongside strong product delivery.
• You're experienced in implementing and scaling ML systems, with particular focus on real-time inference, model monitoring, and maintaining high-quality production ML services.
• You have hands-on experience building and deploying LLM-powered features in production, including prompt engineering, context management, and responsible AI practices.
• You can tailor your management style to suit your employees, identifying where some people might succeed with a more hands-off approach than others.
• You excel at stakeholder management and can build effective relationships across the organization. You self-organize a peer group to gain feedback.
• You have a build-first mentality. You lead teams to create scalable ML systems that accelerate product delivery cycles across the company.
• Expert experience in experimentation is a must - you'll guide systematic approaches to ML feature testing, implementation, and assessment across the company.
• You care about products, not publications. You guide your team to focus on shipping valuable features rather than pursuing perfect solutions.
• You want to continue to grow and learn. You are excited by hard problems and big challenges.
• Experience in fintech, banking, or finance is a plus.

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 $220,000 - $250,000 /year + bonus + benefits. Base 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.