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# Product Design Lead

- **Company:** Rippling People Center Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cursor, Software Prototyping, Large Language Models, Claude Code, Production Code, Claude, GPT
- **Published:** October 7, 2026
- **Apply:** https://startup.jobs/product-design-lead-ai-growth-current-16-10315831

## About the Role

* 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. Show us the experiments that lost, too, and what you did next.
 * Experience setting growth direction for a whole product area and getting teams you don't manage to follow it.
 * Hands-on growth design across onboarding, activation, and monetization. B2B or AI products are a plus, especially where the buyer and the daily user are different people.
 * Comfort with funnels, cohorts, and experiment design, and the judgment to spot a result that's misleading.
 * Daily use of LLMs and AI prototyping tools (Claude, ChatGPT, Cursor, Claude Code, or similar), whether or not you write production code.
 * Strong interaction and visual craft. Growth surfaces are often the first thing a customer sees.
 * Clear communication, including explaining a test result to people who were hoping for a different one.

## Description

As the design lead for Growth, you'll shape how customers adopt AI across Rippling and come to depend on it. Thousands of companies already run HR, IT, and Finance on Rippling. The job is getting the admins and employees inside them to trust AI with real work., * Drive design for AI adoption across Rippling, from an admin's first setup to an employee's daily use.

 * Work with PM and data science to define what an activated AI user looks like, and the guardrail metrics that tell you when a win is hurting retention.
 * Build shared growth patterns (entry points, prompt suggestions, setup flows, upgrade moments) so product teams stop building their own.
 * Run experiments with your PM and data partners. Read results with judgment, and flag the ones that win on the metric and lose with the user.
 * Design upgrade and usage-limit moments that feel fair and never come as a surprise.
 * Spend time with customers to see where AI helps them and where they give up on it. Turn that into priorities for the domain.
 * Use LLMs to sharpen problems and requirements, and prototype in code with AI tools so you're testing real interactions.
 * Raise the bar for growth design across the org. Share what you learn, including from failed tests, and coach designers who are newer to growth.