Growth Product Manager — Consumer AI

Confidential Search | Bay Area

About the Opportunity

We’re partnering with a fast-growing consumer AI company building the next generation of

AI-native creative tools used by millions of users globally.

The company is looking for a Growth Product Manager to own the end-to-end user growth

journey — from how new users discover the product and reach their first meaningful experience, through activation, monetization, and long-term retention.

This is a highly visible role working directly with the founders and closely with engineering,

marketing, and lifecycle teams. The ideal candidate combines strong product instincts with

rigorous experimentation and a highly quantitative approach to growth.

What You’ll Do

• Own onboarding and activation. Diagnose where different acquisition cohorts drop off and design onboarding experiences that improve time-to-value and activation.
• Drive channel-level conversion. Partner with marketing across paid acquisition, organic traffic, SEO, partnerships, and viral loops to improve conversion efficiency.
• Own free-to-paid conversion. Optimize paywalls, pricing, packaging, upsell flows, and other monetization levers.
• Build a rigorous experimentation engine. Establish a consistent cadence of well-designed experiments with clear hypotheses, appropriate sample sizing, and reliable readouts.
• Drive retention and lifecycle growth. Improve engagement and resurrection through email, push, in-product messaging, and other lifecycle programs.
• Support new product and market launches. Own growth instrumentation, funnel design, experimentation, and reporting for major launches and international expansion.
• Work with a high degree of autonomy and move quickly from insight to execution.

What We’re Looking For

• 3+ years of Growth Product Management experience in a consumer or prosumer product-led growth environment.
• Demonstrated impact on metrics such as activation, conversion, free-to-paid conversion, retention, and monetization.
• Deep experience optimizing onboarding and user funnels, ideally across different acquisition sources.
• Strong experimentation background, including A/B testing, sample sizing, holdouts, and interpreting noisy results.