Staff AI Product Designer, Gemini Universal Assistant, GeminiApp

Google Deepmind
Mountain View, California, US; New York City, New York, US; San Francisco, California, US; Seattle, Washington, US$265k+Posted 18 March 2026

Job Description

Snapshot The Gemini App Design team is instrumental in building the Gemini Universal Assistant, the conversational AI that people around the world use to collaborate with generative AI to fuel their imagination, expand their curiosity, and enhance their productivity. We’re hiring an experienced Staff AI Product Designer to play a critical role in driving the technical and product vision for priority users of Gemini, with a specific focus on small businesses. You’ll be responsible for defining the product, model, and overall experiences from the ground up. You will architect intuitive interfaces, create robust design systems, and develop business strategies and communication frameworks to ensure high-quality app behavior and model responses tailored to the needs of small business owners. About Us At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users. We're a world-leading AI research company, pushing the boundaries of what's possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We're committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world's most challenging problems. Join us and be part of a team that's shaping the future of AI. The Role We are seeking a highly experienced, self-starting, and innovative Staff AI Product Designer to join the Gemini App Team. As a key technical and design leader, you will work hand-in-hand with engineers, research scientists, and product managers to build transformative 0-to-1 solutions. You will play a crucial role in shaping how Small Businesses communicate, operate, and scale using generative AI. You’ll nimbly move from focusing on the visual and interaction design of the UI to the underlying quality of the model’s responses, leveraging complex cross-functional partnerships to articulate and guide the overarching product strategy. Key Responsibilities: Drive big product vision build from the ground up: Lead the technical and design vision for Gemini’s Small Business experiences, designing and building foundational, 0-to-1 features and capabilities entirely from scratch. Define business response strategy: Develop business strategies, communication frameworks, system instructions, and rubrics specifically designed to improve model response quality and relevance for use cases. Architect intuitive AI experiences: Lead the design of user interfaces and consumer experiences for Gemini across diverse platforms, ensuring natural, efficient, and deeply helpful multimodal interactions. Shape LLM behavior: Partner closely with Product, Engineering, and other teams to define user-centered quality standards, establish evaluation methods, and directly shape the behavior and responses of underlying LLM models. Design with a systems-thinking approach: Apply a macro-level systems-thinking approach to design, understanding the impact of individual components on the overall AI-powered experience, optimized for AI's probabilistic nature. Craft visually compelling fluid interfaces: Create high-fidelity visual designs, layouts, and engaging motion/interaction designs that make complex, AI-driven information highly accessible and aesthetically pleasing. Bridge design and technology: Leverage deep technical understanding to write system instructions and utilize diverse prototyping methods, simulating model responses to inform design requirements and engineering approaches. Champion innovation ethical design: Stay at the forefront of generative AI advancements, considering the intricate interplay of AI models, UI, user safety, and societal impact to develop responsible, u ... (truncated, view full listing at source)
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