Rippling is revolutionizing HR, IT, and Finance management with a unified platform. Our innovative system consolidates scattered workforce tools, streamlining the entire employee lifecycle. From payroll and benefits to IT and finance, Rippling offers a single source of truth for businesses.

Recently, Rippling launched Data Cloud, creating a unique opportunity to empower customers with actionable insights from their business data. By integrating diverse data sources, Rippling addresses complex business questions that traditional analytics tools often miss.

We are seeking a Product Lead for Analytics to transform this robust technical foundation into intuitive, high-impact products for enterprise and mid-market clients. This role will oversee customer-facing analytics and shared capabilities, catering to both business users and advanced analysts.

As Product Lead for Analytics, you will spearhead the vision, strategy, roadmap, and execution for analytics within Rippling’s Data Cloud. You will define and develop innovative AI-driven analytics experiences that move beyond conventional dashboards and reports.

The role involves making sophisticated analysis accessible to all users, while providing advanced users with the depth and flexibility they require. You will build agentic features that enable customers to explore questions, understand trends, and proactively identify critical events in their data.

Collaborate closely with engineering, design, AI, and product stakeholders across India and the USA to deliver robust analytics solutions. Engage directly with customers to grasp their needs, drive adoption, and measure product value. Leverage AI extensively to accelerate discovery, prototyping, delivery, and product iteration.

We are looking for an experienced Product Manager with a minimum of 8 years of experience in shipping complex B2B products. Prior experience in building analytics, BI, or data platforms, particularly with shared platform capabilities, is highly valued.

The ideal candidate possesses strong customer and UX judgment, with a proven ability to simplify complex analysis without compromising power. Technical fluency in data modeling, querying, metrics, and permissions is essential, along with the capacity to collaborate effectively with engineering on product trade-offs.

AI fluency is crucial, encompassing an understanding of building reliable AI and agentic experiences, evaluating their quality, and effectively applying AI in your own work. Strong systems thinking, clear communication, and the ability to drive execution across diverse teams and geographies with a high degree of ownership are also key. Alignment with Rippling’s leadership principles is expected. We encourage applications from candidates who may not meet every listed requirement but possess transferable skills and valuable life experiences.