Staff AI Product Designer, GeminiApp Devices, DeepMind

Minimum qualifications

• Bachelor's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience designing user interfaces for software applications.
• Experience in designing for conversational products.
• Include a portfolio, website, or any other relevant link to your work in your resume, providing a viewable link or access instructions.

Preferred qualifications

• Experience collaborating with large cross-functional teams through ideation, validation, and iteration processes, helping transform abstract ideas into shippable products.
• Proficiency in designing user-centric experiences for unconventional hardware devices, with a strong understanding of physical interactions, multi-device complexities, and contextual awareness.
• Familiarity with behavioral data and capability to create data-driven designs, while being equally capable of moving forward in the absence of data.
• Excellent communication and collaboration skills with the ability to articulate design rationale and build alignment with partners.
• Demonstrated expertise in designing intuitive interactions for AI-driven products.

About the job

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits

Responsibilities

• Design user experiences for Gemini, ensuring natural and efficient interaction within your specific product area.
• Collaborate with cross-functional teams and cross-organizations to align design efforts with product strategy and user goals, influencing decisions that drive positive user outcomes.
• Translate user needs, technical understanding, and business requirements into polished design solutions by deeply understanding human factors (physical, social, and cultural) and situational contexts.
• Apply a systems-thinking approach to your design work, understanding the impact of individual components on the overall AI-powered experience, optimized for AI's probabilistic nature.