Software Engineering Manager, AI Platform Engineering

SoFi • San Francisco, CA

2d

About The Position

Lead the Prism team as a people manager. Prism is SoFi’s internal AI platform for knowledge work, connecting employees with AI models, business context, and tools to help them solve problems more effectively. The platform captures what works and what does not to create a continuous learning loop that improves workflows and helps employees deliver better results faster.

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

Requirements

• Bachelor’s degree and 4+ years of experience, or a master’s degree and 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 execute greenfield engineering projects.

Nice To Haves

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

Responsibilities

• Lead the engineering team responsible for developing and scaling SoFi’s internal AI productivity platform, Prism.
• Manage incoming IC3 engineers through coaching, performance management, and career development.
• Collaborate with talent acquisition to help hire and onboard advanced engineers (IC4/IC5).
• Help define and deliver the internal AI-platform roadmap, adapting to shifting priorities while meeting short-term operational targets.
• Oversee development of foundational AI infrastructure and tools, including custom harness wrappers, auto-routing capabilities, and programmatic evaluations.
• Work with internal developer customers and cross-functional engineering teams to clarify complex requirements, obtain buy-in, and drive platform adoption.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager