Surfaces Model UX Designer, GeminiApp, DeepMind
Summary
Designs conversational flows and multimodal interactions for Google’s Gemini mobile assistant, ensuring responses feel intuitive and reliable for on-the-go users.
We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
- Specify the ideal conversational structures, query categorization logic, and underlying interaction patterns that bring voice, text, and multimodal entry points to life.
- Implement advanced system instructions (SIs) that optimize dynamic responses based on user signals and device capabilities.
- Apply systems thinking to deliver flexible solutions that scale across a range of devices.
- Initiate qualitative assessments of model performance, establishing principle-based rubrics to drive continuous quality hillclimbing across core user journeys (CUJs).
- Partner with AI product designers to craft leading-edge multimodal solutions, ensuring model responses, device signals, and screen relevancy work in concert to deliver cohesive, glanceable experiences.
Minimum qualifications:
- Bachelor's degree in Cognitive Science, Human-Computer Interaction (HCI), Linguistics, a related field, or equivalent practical experience.
- 6 years of experience in conversation design, content design, with equivalent experience designing for conversational AI/LLMs.
- 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 in interaction design, particularly managing mixed tactile/voice entry points and mid-conversation modality switching.
- Experience in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable, user-centered model behavior.
- Experience in vibe-coding and developing AI-powered prototypes.
- Familiarity with behavioral data and strong capability to utilize user signals and life-cycle data 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 positions, and challenge cross-functional partners with rigorous model UX principles.