AI is changing how companies work, but most enterprises still lack a clear way to govern it. Employees are using AI apps directly. Developers are routing code through agents. Business teams are connecting models to SaaS tools through Model Context Protocol (MCP) servers. Companies are spending more on AI every month, often without a reliable view into who is using what, what data is leaving the company, or which agents have access to sensitive systems.
The AI Governance team is building Rippling’s answer to that problem.
This team sits at the intersection of identity, access control, model routing, MCP security, data protection, spend management, and auditability. The goal is to give companies one governed path for AI usage across employees, agents, models, and business tools.
As a Staff Software Engineer on AI Governance, you will help define and build a new product category. You will work on systems that make AI usage attributable, policy-aware, budget-aware, and auditable at runtime. This is a high-ambiguity, high-impact role for someone who wants to build foundational platform technology while staying close to a rapidly evolving customer problem.