Product Lead, Analytics

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 $1.85B+ 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.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

Rippling recently launched Data Cloud, opening up a new opportunity to help customers understand and act on data across their business. By bringing together first-party, third-party, and customer-created data across HR, IT, finance, and external systems, Rippling can answer business questions that traditional analytics tools struggle to connect.

As Product Lead for Analytics, you will turn this extraordinary technical depth into simple, powerful products for enterprise and mid-market customers. You will own customer-facing analytics experiences and the shared capabilities that power analytics across Rippling—from intuitive reporting for business users to sophisticated analysis for advanced users.

This is a rare opportunity to define new AI-centric experiences beyond classic dashboards. You will build agentic experiences that help customers investigate questions, uncover insights, and proactively learn when meaningful events in their data need attention. AI will be the backbone of the features you ship—and a core part of how you build them.

Your core engineering team is based in India. You will work closely with engineering, design, AI, Data Catalog, and stakeholder teams across India and the USA to shape the product direction for a foundational part of Rippling’s Data Cloud and AI strategy.

• →Own the vision, strategy, roadmap, and execution for Analytics within Rippling’s Data Cloud.
• →Define and build new experiences for how customers analyze data in the AI era, extending beyond classic reports and dashboards.
• →Make sophisticated analysis intuitive for admins and business users while giving advanced users the depth and flexibility they need.
• →Build agentic experiences that help customers investigate questions, explain trends, and proactively discover meaningful events in their data.
• →Partner with your India-based engineering team and engineering, design, AI, Data Catalog, and product stakeholders across India and the USA to deliver trusted analytics across Rippling and external data.
• →Work directly with enterprise and mid-market customers to understand their needs, win adoption, and measure customer value.
• →Use AI extensively to accelerate discovery, prototyping, delivery, and product iteration.

• 8+ years of product management experience, with a track record of shipping complex B2B products.
• Experience building analytics, BI, data platforms, or adjacent products; experience with shared platform capabilities is valuable.
• Strong customer and UX judgment, with the ability to make sophisticated analysis intuitive without sacrificing power.
• Technical fluency in data modeling, querying, metrics, and permissions, and the ability to work closely with engineering on product trade-offs.
• AI fluency: an understanding of how to build reliable AI and agentic experiences, evaluate their quality, and use AI effectively in your own work.
• Strong systems thinking, clear communication, and the ability to drive execution across teams and geographies with high ownership.
• Alignment with Rippling’s leadership principles: We push the limits of possible, We challenge each other directly, and We go and see.

If you don’t necessarily meet all of the requirements listed here, we still encourage you to apply because skills can be used in lots of different ways, your life experience is equally important sometimes.