Product Design Lead, Workforce Management

Responsibilities

• Design exceptional mobile-first product experiences for modern workforce management — including clock-in/out flows, schedule views, shift swaps, break tracking, timecard approvals, and the Timeclock kiosk app.
• Define what great mobile looks like at Rippling by establishing patterns, interaction standards, and quality benchmarks that extend beyond Time into the broader platform.
• Get close to customers to understand how managers and admins actually run hourly teams: where workflows break, where complexity hides, and where better design can drive real business impact.
• Design scalable capabilities and platform patterns that work for multiple products, customer segments, and use cases, creating coherent experiences across Rippling’s broader platform.
• Use AI as a core part of your design process to clarify problem spaces, generate and refine requirements, explore edge cases, and pressure-test solutions before they reach production.
• Develop a hands-on understanding of evolving AI capabilities by building with it, and bringing the knowledge into your product and design decision.
• Prototype with AI-assisted tools to make ideas tangible quickly, explore realistic interactions, and validate solutions through working flows rather than static mocks alone.

Requirements

• 6+ years of end-to-end product design experience, with a portfolio demonstrating strong mobile craft and complex product delivery.
• 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 set a high bar and drive quality across teams.
• Exceptional communication skills, making abstract concepts understandable and guiding cross-functional partners through decisions.
• A relentless customer focus and desire to dig deep to understand real user needs and translate them into design decisions that solve real problems.

Nice-to-Haves

• Hands-on experience building with AI tools and integrating that knowledge into product and design decisions.