Currently tracking 19 active AI roles, down 69% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $154k–$297k (avg $222k).
SoFi currently has 33 active AI-related job listings. The majority of these roles, 55%, are focused on agents. Engineering is the most frequent function with 25 roles, and all hiring is concentrated in the United States. Key technologies mentioned include agent orchestration, evals, and RAG. In the last 30 days, SoFi posted 6 new AI roles, a 65% decrease from the previous 30-day period.
SoFi currently has 28 active AI-related roles in our index. The most common open titles are: Data Science Manager, Borrow, Director, AI Platforms, Fraud Model Analyst, Home Loans Loss Forecasting Analytics, Senior Data Scientist, Principal Engineer, Digital Identity. Most positions are in Engineering and Product.
SoFi's active AI hiring is concentrated in: agents (61%), serving infrastructure (11%), data (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
SoFi is hiring AI talent in: United States (28 roles).
Job postings at SoFi most frequently reference: agent orchestration, evals, rag, llm observability, model serving.
In the past 30 days, SoFi has posted 4 new AI-related roles. That is a -56% change versus the prior 30 days (9 → 4).
| Title | Stage | AI score |
|---|---|---|
| Senior Manager, Data Science Senior Manager of Data Science at SoFi, a fintech company, responsible for leading a team of Data Scientists to support various business units. The role involves identifying and prioritizing data science initiatives, setting high standards for quality and delivery, recruiting and mentoring talent, and collaborating with cross-functional teams to provide data-driven solutions and identify business opportunities. Requires experience in data pipelines, SQL, Python, ML algorithms, and deploying ML models at scale. | Ship | 7 |
| Data Science Manager, Borrow Manager for a Data Science team supporting Lending businesses, focusing on improving data execution, leading a team, and collaborating cross-functionally to deliver data-driven solutions and AI/ML models. | Ship | 5 |