DeepMind

Mountain View

Staff AI Product Designer, Growth & Discovery, GeminiApp

FULL TIME ON-SITE SENIOR
Posted 15 days ago

Role Overview

Google DeepMind is seeking a Staff AI Product Designer to lead growth and discovery initiatives for Gemini across various platforms. You will collaborate with engineers and researchers to build intuitive solutions that help users leverage advanced AI models. This role involves shaping the future of human-AI interaction through end-to-end design processes in a fast-paced environment.

Key Responsibilities

  • Lead the design of user interfaces for Gemini across diverse platforms and modalities
  • Collaborate with product and engineering teams to define and influence product strategy
  • Translate user needs and technical requirements into groundbreaking design solutions
  • Apply systems thinking to optimize interfaces for AI's probabilistic and multimodal nature
  • Create high-fidelity visual designs including layouts, typography, and color palettes
  • Design engaging interactions and motion graphics using tools like Origami and Protopie

Requirements Snapshot

  • Bachelors degree in Design or Human-Computer Interaction or a related field
  • Seven or more years of experience designing interfaces for conversational AI and LLMs
  • Portfolio demonstrating mastery in visual and interaction design for leading consumer applications
  • Proficiency in design tools such as Figma and Adobe Creative Suite
  • Experience leading cross-functional teams through rapid iteration in fast-paced environments

Expected Impact

You will play a pivotal role in making state-of-the-art AI capabilities accessible and beneficial for billions of users worldwide. By bridging the gap between complex technology and intuitive design, your work will directly influence how humanity interacts with artificial intelligence to enrich their lives. Your contributions will drive the adoption of Gemini and establish new standards for responsible and impactful AI product design.

This summary was generated from the original job posting (AI-assisted, human-reviewed). For full details, visit the company's site.

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