Product Design Lead, AI Growth

Urban Ridge Supplies•New York, NY

8h•$174,000 - $290,000

About The Position

As the design lead for Growth, you will shape how customers adopt AI across Rippling and come to depend on it. The role focuses on helping company administrators and employees trust AI with real work, moving from small initial use cases to broader operational tasks. Rippling's workforce data gives its AI context about employees, payroll, devices, applications, and approvals, and this role will design growth experiences that help customers understand and use that capability. Designers at Rippling are product builders who work with product managers, engineers, and data scientists to define problems and ship experiences that change customer behavior. The work involves using LLMs to clarify thinking, AI coding tools such as Cursor and Claude Code to refine and prototype interactions, and staying engaged through testing and launch while owning outcomes with partners.

Requirements

At least 8 years of end-to-end product design experience shipping complex, high-impact products from concept to launch.
A portfolio of shipped work that measurably changed behavior, such as activation, adoption, retention, or conversion, including experiments that failed and what was done afterward.
Experience setting growth direction for a whole product area and gaining adoption from teams the candidate does not manage.
Hands-on growth design experience across onboarding, activation, and monetization.
Comfort with funnels, cohorts, and experiment design, with the judgment to identify misleading results.
Daily use of LLMs and AI prototyping tools such as Claude, ChatGPT, Cursor, or Claude Code, whether or not the candidate writes production code.
Strong interaction and visual design craft.
Clear communication, including explaining test results to people who hoped for a different outcome.

Nice To Haves

Experience with B2B or AI products, especially products where the buyer and daily user are different people.

Responsibilities

Drive design for AI adoption across Rippling, from an administrator's first setup to an employee's daily use.
Work with product management and data science to define an activated AI user and guardrail metrics that reveal when a growth win harms retention.
Build shared growth patterns, including entry points, prompt suggestions, setup flows, and upgrade moments, for use across product teams.
Run experiments with product and data partners, interpret results with judgment, and flag results that improve metrics but harm the user experience.
Design fair, transparent upgrade and usage-limit experiences.
Spend time with customers to understand where AI helps and where they abandon it, and translate findings into domain priorities.
Use LLMs to refine problems and requirements, and prototype in code with AI tools to test realistic interactions.
Raise the bar for growth design across the organization, share learnings including failed tests, and coach designers who are newer to growth.