As a Senior Software Engineer on the Rocket Ready team, you will drive the full lifecycle of software development, focusing on turning ideas into reality with technologies such as Python and React, while also collaborating with various teams to enhance client readiness for home ownership.

In this role, you will work with a team to implement product features that enhance financial insights for users. Responsibilities include developing user interfaces with TypeScript, React Native, and backend services with Node and GraphQL, while ensuring good user experience and code quality.

The Product Marketing Manager will enhance the Rocket Visa Signature® Card experience through lifecycle marketing strategies, developing campaigns, creating marketing copy, collaborating with product and research teams, and performing competitive analysis, ensuring effective messaging and engagement throughout the customer journey.

The Senior ML Engineer will develop and maintain ML systems, collaborate on technical direction, optimize models, set up deployment infrastructure, and mentor junior team members. Key responsibilities include building anomaly detection systems and creating systems for evaluating ML products, ensuring they meet the needs of customers in the fintech space.

As a Senior Full Stack Engineer, you will work with cross-functional teams to implement scalable data ingestion systems and develop user interfaces. You will ensure data security and privacy while maintaining high technical standards, participate in code reviews, and lead complex features from design to production.

The Growth Marketing Associate at Rocket Money will manage marketing technology systems, support data-driven decision-making for the growth marketing team, and optimize marketing processes through tool development. They will work cross-functionally to achieve growth goals and improve data literacy within the team.

As a Senior Data Scientist, you will build machine learning-powered user features, optimize product feedback loops, conduct experiments for new product impacts, and mentor junior team members. You will collaborate closely with engineering and product teams to deliver data-driven solutions that enhance customer engagement and improve financial products.

The Recruiter for G&A will manage the full recruitment life cycle for various teams, maintain communication with hiring leaders, utilize data for recruiting strategy effectiveness, and enhance the candidate experience. This role emphasizes relationship building and innovative recruiting methods.

As a Talent Sourcer at Rocket Money, you will collaborate with the Recruiting team to develop sourcing strategies for attracting high-caliber candidates. Your responsibilities include creating a diverse talent pipeline, utilizing advanced sourcing techniques, tracking sourcing metrics, and supporting various recruiting activities.

As the Director of People Experience, you will shape the organization’s people strategy, enhance employee experience, drive talent acquisition and development initiatives, and promote a positive workplace culture. You will collaborate with leadership, manage projects for career planning and talent analytics, and implement effective performance management processes. Your goal is to foster engagement, satisfaction, and retention within the organization.

As a Senior Data Analyst, you will analyze user experiences within the app to enhance engagement and optimize product offerings. Collaborating with cross-functional teams, you'll provide insights, build analytics, and support data-driven decision making. You'll also guide the design of experiments, communicate findings effectively, and ensure data accuracy in collaboration with the Analytics Engineering and Data Science teams.

The Analytics Engineer at Rocket Money will work with cross-functional teams to deliver product features, model customer data, and improve data processes. Responsibilities include building and maintaining data models, collaborating with engineering teams, managing multiple projects, and communicating with stakeholders to ensure effective data utilization for analytics purposes.