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# Software Engineering Manager, AI Platform Engineering

- **Company:** SoFi Technologies, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Information Technology
- **Published:** November 7, 2026
- **Apply:** https://startup.jobs/software-engineering-manager-ai-platform-engineering-sofi-10700413

## About the Role

* 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.

## Description

* 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.