
Creative AI Designer
4 days ago
About Zocket is not required. We're looking for an AI Product Designer who thrives at the intersection of AI, design, and global scale.
Key Responsibilities- Craft Next-Gen AI Experiences: Design intuitive agentic interfaces where users collaborate with AI in real time to build and launch ad campaigns.
- Lead End-to-End Product Design: From deep research and rapid ideation to wireframes, prototypes, and polished UIs for web and mobile platforms.
- Integrate AI-First Design Principles: Balance automation with user trust and control. Create transparent, explainable interactions that build confidence in AI-driven decisions.
- Collaborate Deeply with AI Teams: Work hand-in-hand with product, engineering, and AI/ML experts to transform LLMs, autonomous agents, and generative AI models into accessible workflows.
- Push the Boundaries of Prototyping: Use modern tools (Figma, Replit, Bolt, Lovable) and AI-driven builders to prototype at lightning speed and test ideas that can scale globally.
- Shape a Design System for AI-First Platform: Build and maintain reusable design frameworks that support rapid product evolution and global adoption.
- Champion User Research & Usability Testing: Understand how global users engage with AI platforms, and design flows that work across different cultures, languages, and ad markets.
- Stay Ahead of the Curve: Be in-house radar for new AI/GenAI tools, UX breakthroughs, and design patterns shaping the next decade of software.
- 3+ years of product design experience in SaaS, MarTech, AdTech, or AI-first platforms.
- A portfolio of shipped digital products highlighting creative problem-solving, global usability, and elegant design under complexity.
- Mastery in design tools (Figma, Sketch, Adobe XD) and exposure to AI-driven tools (Replit, Bolt, Lovable).
- Strong foundation in UI/UX principles, design systems, and interaction design.
- Demonstrated ability to conduct research and usability testing, and iterate designs based on evidence.
- Working knowledge of LLMs, agents, generative AI and ability to design for AI-driven workflows.
- Systems thinking – Ability to think beyond screens and flows; you can design agentic ecosystems where multiple AI agents, humans, and tools work together seamlessly.
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