Principal Product Designer to lead the design and execution of SoFi Coach, an AI-native, agentic layer that will transform the platform into a proactive personal wealth manager. This role involves turning speculative AI capabilities into validated, agentic experiences, collaborating with leadership, and influencing cross-company strategy.

Principal Product Manager to define and scale SoFi's AI-powered SDLC platform, integrating AI into the product development process from discovery to continuous improvement. This role focuses on platform leadership at the intersection of AI, developer experience, CI/CD, testing, observability, and governance, defining how AI agents generate code, tests, and documentation, and integrating them into development workflows. Requires strong technical fluency, enterprise influence, and experience shipping LLM-powered or agent-driven products.

Product leader to define and scale Marketing Technology at SoFi, powered by AI. This role will own the vision for AI-driven marketing platforms, focusing on automating, personalizing, and scaling campaign creation and optimization to drive member acquisition, engagement, and retention. The goal is to build intelligent systems that autonomously create, optimize, and orchestrate campaigns at scale, improving growth efficiency.

This role focuses on defining the strategy, roadmap, and outcomes for securing the organization's product lifecycle and emerging AI/ML initiatives. It involves treating Product Security and AI Security capabilities as internal products, aligning with enterprise risk, and embedding security controls into the SDLC and AI/ML systems. Key responsibilities include developing strategy and roadmaps, managing security due diligence for M&A, defining product/capability management for security, portfolio management, and cross-functional collaboration with Product, Engineering, Data Science, Legal, and Compliance.

Senior Product Manager to own the fraud product strategy for all money movement rails at SoFi. This role involves owning real-time systems and detection logic, building high-precision detection logic that scales, and owning the risk profile for every inflow and outflow. The focus is on stopping bad actors while ensuring good members can transact smoothly, sitting at the intersection of Data Science, Engineering, and Payments.