Lead Product Manager - Data Catalog

About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

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About the role

At Rippling, Product is responsible for turning extraordinary technical depth into simple, powerful products for our customers. As the Lead Product Manager for Data Catalog, you will own the semantic, ontology and governance layer that makes Rippling’s first-party, third-party, and customer-created data understandable and usable by both humans and AI.This is a foundational product leadership role for Rippling’s Data Cloud and AI strategy.

You will define how data is represented, governed, discovered, and used across payroll, HR, IT, finance, external systems, customer datasets, and developer-built applications. Your work will help Rippling AI answer customer questions correctly, take the right actions, and give internal and external developers a reliable interface into Rippling’s data graph.

You will be the product lead for a new, high-leverage area that touches nearly every Rippling product and depends on deep collaboration across engineering, AI, platform, product, and customer-facing teams. This is a rare opportunity to own the company context layer for AI t you will doOwn the product vision, strategy, roadmap, and execution for Rippling’s Data Catalog.

Define how first-party, third-party, and customer-generated data is represented semantically across the Rippling platform.

Build the catalog capabilities that allow Rippling AI to interpret natural-language questions, resolve ambiguity, map requests to the right data, and return accurate answers or actions.

Establish governance models for sensitive data, including access controls, permissions, and policy-driven usage across payroll, HR, IT, finance, and external-source data.

Create the product interface between Rippling AI, Data Cloud, internal product teams, external developers, and the underlying data graph.

Work across approximately ten dependent engineering teams and product areas to identify shared data-modeling patterns, remove adoption friction, and drive catalog usage ld feedback loops with customers, customer-facing teams, data analysts, engineers, AI teams, and developers to understand hidden pain points and continuously improve the product.

Influence executive and cross-functional stakeholders on investment priorities, trade-offs, sequencing, and long-term platform direction.

Define and track the success metrics that show whether the catalog improves AI accuracy, developer velocity, governance quality, and customer outcomes.

What you will need Experience as a senior product leader owning complex data, platform, infrastructure, analytics, AI, or developer-facing products at meaningful scale.

Deep familiarity with data platforms, data warehouses, databases, analytics products, semantic layers, metadata systems, data governance, or adjacent B2B data products.

Strong product judgment in ambiguous technical domains, with the ability…