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Rippling is a unified platform for HR, IT, and Finance, consolidating workforce systems like payroll, expenses, benefits, and device management into a single interface. The company has raised $1.85B from top-tier investors and is headquartered in San Francisco.
The AI Governance team is building Rippling's solution to enterprise AI governance—a critical gap as employees use AI apps directly, developers route code through agents, and business teams connect models to SaaS tools via Model Context Protocol (MCP) servers. Most enterprises lack visibility into AI usage, data flows, agent access to sensitive systems, and spending.
As a Software Engineer II 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. The role sits at the intersection of identity, access control, model routing, MCP security, data protection, spend management, and auditability. The goal is to provide companies with one governed path for AI usage across employees, agents, models, and business tools.
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. You will contribute to core infrastructure that enables enterprises to govern AI safely and effectively.
