Software Engineering Manager, AI Platform Engineering
SoFi is hiring a Software Engineering Manager, AI Platform Engineering in San Francisco and Seattle, United States. Level rates it ; you can apply on SoFi.
Level's read on this job
- Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
- Tools and skills the posting cites include RAG, LLM integration and AI evaluation.
- Level classifies it as a mid-level role.
- Level lists 45 other open roles at SoFi.
- The role was posted within the past two weeks.
AI in this role
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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.
How we rate this
Software Engineering Manager, AI Platform Engineering at SoFi rates 43 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How have you integrated a large language model into a production application?
- How do you decide that one model's output is better than another's for a given task?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: RAG, LLM Integration, and AI Evaluation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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