AI Product Designer

About Zocket

adGPT – your ChatGPT for ads

intersection of AI, design, and global scale

Key Responsibilities

• Design next-gen AI experiences

  – Go beyond traditional UI/UX; craft 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 Zocket’s in-house radar for new AI/GenAI tools, UX breakthroughs, and design patterns shaping the next decade of software.

Qualifications

• 3+ years of product design experience

  in SaaS, MarTech, AdTech, or AI-first platforms.
• A

  portfolio of shipped digital products

  that highlights

  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 an 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.