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Rippling is a unified HR, IT, and Finance platform that consolidates workforce systems—payroll, expenses, benefits, computers, and third-party integrations—into a single system. The company has raised $1.85B+ from top-tier investors and is headquartered in San Francisco.
The Data Catalog team serves as the semantic intelligence layer of Rippling's platform. The mission is to make Rippling's data schema—spanning millions of fields across every product—discoverable, trustworthy, and actionable for both humans and AI. The team is the authoritative source of truth for metadata within Rippling.
The team sits at the intersection of platform infrastructure and AI, powering core product surfaces including Workflow Automator, Reports, Supergroups, and Data Manager, while increasingly serving as the data backbone for Rippling's AI products such as the AI Assistant and AI Field Selection features.
The team delivers across four strategic pillars: (1) Data Discoverability—catalog browse, search, and field-selection experiences used throughout Rippling, enabling users to find relevant data across a vast and growing schema; (2) Data Enrichment—AI-generated semantic descriptions, glossary tagging, sampled values, and usage signals; (3) Data Quality & Governance—ensuring data trustworthiness and compliance; (4) AI-Powered Experiences—leveraging the catalog to power intelligent product features.
As a Staff Software Engineer on this team, you will architect and build systems that handle massive scale, drive technical strategy, mentor engineers, and shape the future of how Rippling's data is discovered and leveraged across the platform and AI products.
