Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Drive the design and development of AI and ML solutions for member growth, leading technical architecture and mentoring engineers while focusing on advanced personalization and collaboration across teams.

As a Senior Staff Data Scientist, you'll leverage data analysis and ML models to support SoFi's Home Loans growth. This includes high-level technical leadership, mentoring, stakeholder communication, and building data pipelines.

Responsible for defining the design strategy for Home Purchases, collaborating with key partners, driving innovation in home loans, and mentoring a design team.

As Director, AI Platforms, you will lead the development of AI-enabling platform services, ensuring compliance, reliability, and adoption across teams. You will manage multi-tenant services and drive AI integration into the SDLC, shaping strategies and overseeing platform governance.

Lead Product Marketing for Student Loan Refinance and At Work B2B2C marketing channel, driving growth and strategy execution.

Lead the Modeling and AI Enablement function within Marketing Data Science, guiding AI strategies, model development, and governance while managing a team of data scientists.

The Senior Staff Software Engineer will develop crypto products, architect systems, write scalable backend code, mentor engineers, and oversee technical strategies. Responsibilities include building high-quality systems and collaborating across teams, while leveraging expertise in blockchain and crypto protocols.

The Senior Product Marketing Manager will develop and execute the marketing strategy for SoFiUSD, focusing on consumer adoption and institutional distribution, working closely with various internal teams and stakeholders.

The Credit Analyst will analyze credit risk for commercial borrowers, especially in multifamily real estate, support loan originations, manage portfolios, and ensure compliance with banking standards.

Lead subscription analytics for SoFi Plus: define engagement/retention metrics, run deep-dive analyses and experiments, build scalable data pipelines and ML models, create executive dashboards, and influence product strategy to grow subscription value.