Product Design Lead, Data Cloud

Overview

Ripping gives businesses one place to manage HR, IT, and Finance. It consolidates various workforce systems into a single platform, enabling comprehensive management and automation of the employee lifecycle.

Responsibilities

• Own the end-to-end Data Cloud experience from custom reports and dashboards through semantic models, query interfaces, and warehouse integrations.
• Design how customers move from plain-language questions to validated answers grounded in Rippling's data graph.
• Build primitives that make complex data accessible: visualizations, filtering, drill-downs, schema explorers, and permissions for sensitive workforce and financial data.
• Design for two audiences: business users seeking fast, trustworthy answers and data teams requiring pipelines, models, and parity with their warehouse.
• Use LLMs to accelerate the design process. Utilize them for research, requirements generation, and validating designs before deployment.
• Prototype using AI-assisted tools to explore data flows and validate solutions through real interactions rather than static mocks.
• Share patterns, tooling discoveries, and AI workflows across the design organization to enhance the quality of work for everyone.

Requirements

• A portfolio of high-impact products delivered from concept through launch, ideally including analytics, BI, query builders, or other data-heavy surfaces.
• Some comfort with the language of data: schemas, joins, aggregations, semantic layers, warehouses.
• Active use of LLMs (Claude, ChatGPT, or similar) in your design workflow, whether for research, requirements, copy, or exploration.
• Comfort with AI-assisted prototyping tools (Cursor, Claude Code, or similar), even if you're not writing production code.
• A strong eye for craft, both interaction and visual, with the ability to make dense information feel calm and legible.
• Exceptional communication skills, making abstract concepts understandable and guiding cross-functional partners through tough decisions.

Qualifications

• Portfolio of high-impact products delivered from concept through launch, ideally including analytics, BI, query builders, or other data-heavy surfaces.
• Some comfort with the language of data: schemas, joins, aggregations, semantic layers, warehouses.
• Active use of LLMs (Claude, ChatGPT, or similar) in your design workflow, whether for research, requirements, copy, or exploration.
• Comfort with AI-assisted prototyping tools (Cursor, Claude Code, or similar), even if you're not writing production code.
• A strong eye for craft, both interaction and visual, with the ability to make dense information feel calm and legible.
• Exceptional communication skills, making abstract concepts understandable and guiding cross-functional partners through tough decisions.

Skills

• Highly skilled in designing data-driven experiences that bridge operational data with decision-making processes.
• Experience with LLMs and AI-assisted prototyping tools to accelerate the design process and validate solutions.
• Strong understanding of data structures, querying, and visualization techniques to ensure clarity and accessibility of complex data.
• Excellent communication and collaboration abilities to work effectively with cross-functional teams and stakeholders.

Benefits

• Competitive salary + benefits + equity.
• Flexible work arrangements, including the option to work from an office at least three days a week for office-based employees.
• Equal opportunity employer committed to diversity and inclusion.

Pay

• Salary range for US-based employees: 174,000 - 290,000 USD per year (US Tier 1)
• Salary range for US-based employees: 156,600 - 261,000 USD per year (US Tier 2)
• Salary range for US-based employees: 147,900 - 246,500 USD per year (US Tier 3)

About the Role

This role is located in San Francisco, CA, New York, NY, and Seattle, WA.

Contact

To apply, please visit our careers page or email us at accommodations@rippling.com for reasonable accommodations during the hiring process.