Product Design Lead, AI Growth

Urban Ridge Supplies•New York, NY

About The Position

As the design lead for Growth, you will shape how customers adopt AI across Rippling and come to depend on it. You will design growth patterns that help administrators and employees build trust in AI through successful experiences with their own company data and progressively use it for more operational work. You will work with product managers, engineers, and data scientists to define problems and ship experiences that change customer behavior. The role spans the design process from using LLMs to clarify thinking and AI tools to refine and prototype interactions through customer testing, launch, and outcome ownership. You will help establish shared growth patterns across product teams, use experimentation and customer research to guide priorities, and raise the bar for growth design across the organization. This role receives a competitive salary, benefits, and equity. The position is office-based for employees who live within a defined radius of a Rippling office, with at least three days a week in the office under current policy.

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; be prepared to discuss experiments that failed and subsequent actions.
Experience setting growth direction for a whole product area and gaining adoption from teams you do not manage.
Hands-on growth design experience across onboarding, activation, and monetization.
Comfort with funnels, cohorts, and experiment design, and judgment to recognize misleading results.
Daily use of LLMs and AI prototyping tools such as Claude, ChatGPT, Cursor, or Claude Code, whether or not you write production code.
Strong interaction and visual design craft.
Clear communication skills, including the ability to explain test results to people who hoped for a different outcome.

Nice To Haves

B2B or AI product experience, especially in contexts 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 activated AI users and guardrail metrics that identify when a growth win may harm 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, and flag outcomes that improve a metric but hurt the user experience.
Design upgrade and usage-limit moments that feel fair and are not surprising to customers.
Spend time with customers to learn where AI helps them and where they abandon it, and turn those findings into domain priorities.
Use LLMs to sharpen problems and requirements, and prototype interactions in code with AI tools.
Raise the bar for growth design across the organization, share learnings including from failed tests, and coach designers newer to growth.