# Software Engineering Manager, AI Platform Engineering

**Company**: SoFi
**Location**: San Francisco, CA
**Experience**: senior
**Job type**: full-time
**Salary**: 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.
**Category**: Engineering
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/sofi/jobs/8089614003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_aa34f902-549

## Description

Shape a brighter financial future with SoFi, a next-generation financial services company and national bank. 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.

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.

Responsibilities:

- 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.

- 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.

- Partner with stakeholders: Work directly with internal developer customers and cross-functional engineering teams to distill complex requirements and drive platform adoption.

Requirements:

- 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.

## Skills

### Required
- AI-powered developer-tooling
- software engineering
- computer science
- people management
- platform development

### Nice to have
- fintech
- LLM integration
- context retrieval architectures (RAG)
- AI evaluation frameworks

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/sofi/jobs/8089614003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)