Product Lead, Analytics

Rippling; Bengaluru; On-site; INR 450,000 - 900,000; Full time

Job summary

Rippling seeks a Product Lead for Analytics to own customer-facing analytics experiences within Rippling’s Data Cloud. You will turn deep data capabilities into intuitive analytics for admins and business users, expanding beyond traditional dashboards.

You will work with India-based engineering teams and stakeholders across India and the USA to shape product direction and leverage AI to accelerate discovery, prototyping, and delivery.

Qualifications

• 8+ years of product management experience shipping complex B2B products.
• Experience building analytics, BI, data platforms, or equivalent.
• Strong customer and UX judgment to make analysis intuitive.

Responsibilities

• Own vision, strategy, roadmap, and execution for Analytics within Rippling’s Data Cloud.
• Define and build new analytics experiences beyond dashboards.
• Make advanced analysis intuitive for admins and business users, while preserving depth for power users.
• Build agentic experiences to help investigate questions, explain trends, and discover meaningful events.

Skills

Product management

Analytics

BI

Data platforms

AI

UX judgment

Engineering collaboration

Strategic thinking

Tools

SQL

Data modeling

Job description

About the role

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.

What you’ll do

• 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.

What you’ll need

• 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.