About 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
SoFi is seeking a Principal Engineer to lead the technical and architectural evolution of our Member Growth platforms — the systems that power member acquisition and engagement for every product across the company.
Key contributions of this role include:
• Architect agentic and AI-driven systems ; define evaluation strategy and drive quality, safety, and compliance of AI workflows in a regulated environment.
• Define and drive long-term architectural direction across Member Growth platforms: campaign automations, communications, marketing data, and web/mobile acquisition.
• Lead cross-organizational platform convergence — building shared primitives that multiple product lines consume while preserving each team’s flexibility.
• Identify and resolve systemic technical problems across teams; drive alignment to deliver on business and strategic goals.
• Raise engineering maturity: design review rigor, operational standards, and mentorship loops that develop senior ICs into technical leaders.
• Collaborate with Product, Marketing, Data Science, Business, Legal, and Compliance to align technology strategy with short and long-term goals.
What You’ll Do
• Architect the next generation of Campaign Automations platform — AI-driven targeting, personalization, and customer journey orchestration at scale.
• Design the unified communications architecture for member engagement at scale with compliance-grade correctness.
• Define the evaluation strategy and drive quality, reliability, safety, and observability of AI-driven workflows in a regulated financial environment.
• Lead cross-organizational platform convergence — shared architectural primitives across organizations with different stacks and competing priorities.
• Establish operational integrity standards: automated verification, reconciliation mechanisms, and self-healing infrastructure that prove these platforms are correct.
• Prototype and ship using AI tools; push the team toward AI-native engineering practices.
• Build engineering culture: rigorous design reviews, clear standards, incident-to-prevention feedback loops, and mentoring senior engineers into technical leaders.
What You’ll Need
• Bachelor’s or Master’s in Computer Science, Software Engineering, or equivalent.
• 10+ yea