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Rippling is a unified workforce platform that consolidates HR, IT, and Finance operations into a single system. The company has raised $1.4B+ from top-tier investors including Kleiner Perkins, Founders Fund, and Sequoia.
Data Cloud is Rippling's unified data platform that makes operational data across HR, IT, and Finance queryable, governable, and actionable for analytics, reporting, and intelligent product workflows.
We are hiring a Staff Software Engineer to build the AI platforms within Data Cloud. This is a high-impact platform role focused on architecting the intelligence layer for the unified workforce system. You will own state-of-the-art systems for schema retrieval, query planning, and execution.
Key responsibilities:
- Develop a state-of-the-art schema retrieval system that operates over Rippling native and customer-defined schema
- Implement and scale Data Cloud's AI training pipelines for data retrieval, from designing data generation to managing training clusters
- Partner closely with Rippling's AI Platform team to define shared primitives for model tuning, inference, evaluation, and development of task-specific agent harnesses
- Own Data Cloud-specific capabilities that improve quality, reliability, and scale
- Build systems that enable intelligent product workflows across the workforce platform
This role requires deep expertise in machine learning systems, data infrastructure, and large-scale AI applications. You will work at the intersection of applied ML and platform engineering, architecting solutions that power intelligence across Rippling's entire product suite.
