Staff Product Designer, Monetization Growth
Adobe · San Jose, CA · Design
About this role
Adobe is hiring a staff-level Product Designer based in San Jose, CA. The posting calls out experience with Performance Optimization, Accessibility, Express, LLMs. Compensation is listed at $146,300–$274,300 per year.
- Role
- Product Designer
- Function
- design
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- San Jose, CA
- Department
- Design
- Posted
- Apr 9, 2026
More roles at Adobe
Job description
from Adobe careersThe opportunity
We’re looking for a Staff Product Designer to shape monetization growth experiences throughout Adobe. This role focuses on how millions of users discover and access powerful creative and generative AI capabilities across Adobe surfaces.
You’ll work on high-impact initiatives across in-app commerce, account and admin experiences, subscription management, and monetizing AI capabilities, helping translate product innovation into scalable business models while maintaining
Adobe’s high bar for build quality, craft, and accessibility — all while enabling teams to iterate, learn, and grow.
If you're excited about designing experiences that connect product value, customer adoption, and business growth, this role sits at the center of that work.
What you'll do
You’ll help define interaction patterns for monetizing generative AI, shaping how capabilities such as generation, credits, and premium AI features are introduced and experienced — all while upholding Adobe’s standards for usability, quality, and accessibility.
You’ll design the experiences that power growth, adoption, and monetization across Adobe’s ecosystem. This includes crafting intuitive in-product commerce flows, subscription and credit models, and feature monetization frameworks that scale to millions of users worldwide across desktop, web, and mobile products.
You’ll collaborate closely with cross-functional partners—including growth engineering, product management, and data teams—to design experiments, test hypotheses, and evolve the systems that drive product adoption and revenue.