Software Engineering Manager, AI Platform Engineering

About the job

From SoFi's job posting, shown as published.

Who we are

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The role

Lead the Prism team as a people manager. Prism is SoFi’s internal AI platform for knowledge work. Prism connects employees with the AI models, business context, and tools they need to solve important problems more effectively. It also creates a continuous learning loop by capturing what works—and what doesn’t—so our workflows improve over time and employees can deliver better results faster.

As the Engineering Manager (M3) for Prism, you will build and scale this critical internal tool, managing a team of software engineers while collaborating cross-functionally to define and execute the AI-platform roadmap. You will solve complex, function-specific problems and guide your team through rapid iteration in a highly ambiguous, greenfield environment.

What you’ll do

• Build and scale Prism: Lead the engineering team responsible for developing SoFi's internal AI productivity platform.
• Manage and develop talent: Manage incoming IC3 engineers, providing coaching, performance management, and career development. Collaborate with talent acquisition to help hire and onboard advanced engineers (IC4/IC5) to the team.
• Execute the technical roadmap: Help define and deliver on the internal AI-platform roadmap, adapting to shifting priorities while ensuring short-term operational targets are met.
• Build foundational AI infrastructure: Oversee the development of tools that enable SoFi engineers to work more productively, including custom harness wrappers, auto-routing capabilities, and programmatic evaluations.
• Partner with stakeholders: Work directly with internal developer customers and cross-functional engineering teams to distill complex requirements, obtain buy-in, and drive platform adoption.

What you’ll need

• Education & Minimum Experience Requirements: Bachelor’s Degree + 4+ Years of Experience OR Master’s Degree + 3+ Years of Experience in software engineering, computer science, or a related field.
• Proven experience with AI-powered developer-tooling and related technical architectures.
• Solid people-management experience in a fast-moving, high-velocity engineering environment.
• Exceptional experience building platforms for, or managing, internal developer customers
• Demonstrated ability to navigate ambiguity, drive rapid iteration, and successfully execute greenfield engineering projects.

Nice to have

• Experience in fintech or within another highly regulated industry environment.
• Deep understanding of LLM integration, context retrieval architectures (RAG), and AI evaluation frameworks.

Compensation and Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.

To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!

Internal Employees

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.