Model UX AI Product Designer, Gemini App

📍 Job Overview

Job Title: Model UX AI Product Designer, Gemini App Company: DeepMind Location: Mountain View, California, US; New York City, New York, US; San Francisco, California, US; Seattle, Washington, US Job Type: Full-time Category: Product Design / User Experience (UX) / Artificial Intelligence (AI) Date Posted: January 6, 2026 Experience Level: Senior (5-10 years) Remote Status: On-site

🚀 Role Summary

• Drive innovative user experience (UX) design for AI-powered products, specifically within the Gemini App's Information Verticals.
• Lead the conceptualization and execution of novel strategies to introduce and expand the Gemini App's global audience and user engagement.
• Collaborate cross-functionally with Product Managers, Engineers, UX Researchers, Data Scientists, and Marketers to define and implement growth strategies.
• Develop deep expertise in diverse user needs across geographies, platforms, and audience segments to inform user-centric design decisions.

📝 Enhancement Note: While the title is "Model UX AI Product Designer," the core responsibilities and required skills strongly indicate a Sr. Product Designer role with a specialization in AI/ML product development and growth strategies. The focus on "Information Verticals" within the Gemini App suggests a need for strategic thinking around content discovery and user onboarding within a complex AI product ecosystem.

📈 Primary Responsibilities

• Lead the design of innovative and intuitive user experiences that foster feature discovery and deepen user engagement specifically within the Gemini App.
• Partner closely with product management, engineering, research, data science, and marketing teams to define and execute product growth strategies.
• Conduct in-depth user research and analysis to understand diverse user behaviors, preferences, and pain points across various geographies, platforms (web, mobile, etc.), and audience segments.
• Translate complex user insights and data into actionable, user-centric design solutions that deliver measurable value and drive key growth metrics.
• Collaborate with other design teams across the organization to align roadmaps, identify integration opportunities, and ensure a cohesive user experience.
• Champion user-centered design principles and elevate the overall design craft and quality across the product development lifecycle.
• Develop and present compelling design concepts and strategies to senior leadership and cross-functional stakeholders.

📝 Enhancement Note: The responsibilities emphasize a senior-level individual contributor role focused on strategic product design and growth initiatives. The need to "lead multiple Information Verticals" suggests a significant scope of ownership and the expectation to drive independent design direction.

🎓 Skills & Qualifications

Education: While specific degree requirements are not listed, a Bachelor's or Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field is typically expected for senior design roles at this level. Experience: A minimum of 5-10 years of experience in product design, with a significant focus on user experience (UX) for digital products, preferably in areas involving AI, machine learning, or complex platforms.

Required Skills:

• Strategic Impact & Product Thinking: Proven ability to address highly complex design challenges for strategic, high-impact AI product initiatives, effectively prioritizing user goals and business strategy.
• Cross-Functional Leadership & Alignment: Demonstrated experience leading and influencing cross-functional teams (Product Management, Engineering, UX Research, Data Science, Marketing) to ensure design solutions prioritize user needs and product best interests.
• Mastery of Design Craft & Execution: Exceptional ability to deliver intuitive, system-aware, and polished design solutions through strong design craft and attention to detail.
• Adaptability & Growth Mindset: Thrives in complexity and ambiguity, continuously learning and adapting to evolving product requirements and market dynamics.
• Fluency in AI Product Design Process: Proficient in leveraging AI expertise, data, and user insights to craft impactful design solutions and drive product innovation.
• User-Centric Design Principles: Deep understanding and consistent application of user-centered design methodologies.
• Strong Communication & Presentation Skills: Ability to articulate design decisions, strategies, and user insights effectively to diverse audiences, including senior leadership.

Preferred Skills:

• Growth and Discovery Expertise: Proven experience in driving successful growth and discovery initiatives for digital products, with a track record of increasing user acquisition, engagement, and retention.
• AI Prototyping: Ability to build functioning prototypes to demonstrate complex ideas, test hypotheses, and drive cross-functional alignment.
• Experience with Large-Scale AI Products: Familiarity with designing for products that leverage large language models (LLMs) or other advanced AI technologies.
• Global Product Design Experience: Experience designing for diverse international markets and user segments.

📝 Enhancement Note: The "About You" section provides a strong framework for required skills, emphasizing leadership, strategic thinking, and mastery of design craft within the AI product space. The distinction between required and advantageous skills is clear.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 significant product design projects demonstrating your ability to tackle complex, ambiguous design challenges.
• For each project, clearly articulate the problem statement, your role and contributions, the design process followed, key decisions made, and the measurable impact or outcomes achieved.
• Highlight projects that specifically involve AI, machine learning, or data-driven product development.
• Include examples of user research, ideation, wireframing, prototyping, and high-fidelity design work.
• Demonstrate your ability to collaborate effectively with cross-functional teams.

Process Documentation:

• Provide evidence of your systematic approach to design, including user research methodologies, ideation techniques, and iterative design processes.
• Showcase how you translate user insights and data into design solutions.
• Include examples of how you have driven feature discovery and user engagement through design.
• Demonstrate your ability to adapt processes based on project needs and learnings.

📝 Enhancement Note: Given the senior nature of the role and its focus on AI product development and growth, a robust portfolio demonstrating strategic thinking, problem-solving, and measurable impact is critical. The emphasis on "strategic impact" and "cross-functional leadership" means the portfolio should highlight collaborative efforts and influence.

💵 Compensation & Benefits

Salary Range: $178,000 - $265,000 USD per year. Benefits:

• Bonus
• Equity
• Comprehensive benefits package (specifics not detailed, but typically includes health, dental, vision, retirement plans, paid time off, etc., standard for major tech companies).

Working Hours: 40 hours per week (standard full-time).

📝 Enhancement Note: The provided salary range is explicitly stated for the US. For other potential locations (Mountain View, San Francisco, Seattle, New York), the range is likely to fall within or near this bracket, with potential adjustments based on local market rates and cost of living. San Francisco and New York typically command higher salaries due to cost of living. The "On-site" work arrangement implies standard office hours, but flexibility may be offered.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence Research & Development, Technology. DeepMind is at the forefront of AI innovation, pushing the boundaries of what AI can achieve for scientific discovery and public benefit. Company Size: Large (part of Google/Alphabet). This implies access to vast resources, cutting-edge technology, and a highly collaborative, research-driven environment. Founded: 2010 (as DeepMind, acquired by Google in 2014). This history suggests a mature organization with established research practices and a strong foundation in AI development.

Team Structure:

• The role operates within the Gemini App team, likely a focused product development unit within DeepMind.
• You will be a Sr. AI Product Designer, reporting into a Design Lead or Head of Design for the Gemini App product.
• Close collaboration with Product Managers, Engineers, UX Researchers, Data Scientists, and Marketing professionals is integral to the role.
• Interaction with other design teams across DeepMind and potentially broader Google AI divisions is expected.

Methodology:

• Data-Driven Design: Decisions are heavily informed by user data, A/B testing results, and AI model performance metrics.
• User-Centric Approach: A deep understanding of user needs and behaviors is paramount, driving all design decisions.
• Iterative Development: Agile methodologies are likely employed, with continuous cycles of design, prototyping, testing, and refinement.
• Research-Intensive: Strong emphasis on UX research and AI research to inform product strategy and design.
• Collaborative Innovation: Encourages cross-functional brainstorming and idea sharing to drive novel solutions.

Company Website: https://deepmind.google/

📝 Enhancement Note: DeepMind's culture is characterized by scientific rigor, a passion for AI, and a commitment to ethical development. The Gemini App team will likely reflect this, with a strong emphasis on innovation, collaboration, and impact.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor (IC) in Product Design. This role is positioned for experienced designers who can operate independently, lead complex initiatives, and influence product strategy. Reporting Structure: Reports to a Design Lead or Manager within the Gemini App product team. Work involves significant collaboration with Product Management and Engineering leads. Operations Impact: The designer's work directly influences user adoption, engagement, and perceived value of the Gemini App, a flagship AI product. Success in this role contributes to the broader strategic goals of DeepMind and Google in the AI space.

Growth Opportunities:

• Specialization: Deepen expertise in AI product design, growth strategies, and specific information verticals.
• Leadership: Transition into a Design Lead or Managerial role, mentoring junior designers and leading larger initiatives.
• Cross-Functional Mobility: Potentially move into Product Management or UX Research roles with further development.
• Industry Recognition: Contribute to groundbreaking AI products that gain industry-wide recognition.
• Continuous Learning: Access to internal and external training, conferences, and research to stay at the forefront of AI and design.

📝 Enhancement Note: This role offers significant growth potential within a leading AI research organization. The focus on strategic impact and cross-functional leadership provides a clear path for career advancement into more senior design or leadership positions.

🌐 Work Environment

Office Type: Primarily on-site, with options in major tech hubs (Mountain View, San Francisco, Seattle, New York). This suggests state-of-the-art office facilities designed for collaboration and innovation. Office Location(s):

• Mountain View, California, US
• San Francisco, California, US
• Seattle, Washington, US
• New York City, New York, US

Workspace Context:

• Collaborative Spaces: Offices are designed with a mix of open-plan areas, meeting rooms, and private spaces to support diverse work styles and team interactions.
• Access to Resources: Expect access to cutting-edge AI hardware, software, and internal tools essential for design and prototyping.
• Team Integration: Regular opportunities for informal and formal interactions with design, engineering, and product teams to foster a cohesive working environment.
• Innovation Hubs: Environments that encourage experimentation, knowledge sharing, and creative problem-solving.

Work Schedule: Standard 40-hour work week, with potential for flexibility. The on-site nature suggests a structured work environment, but DeepMind, like other Google entities, typically offers good work-life balance.

📝 Enhancement Note: The on-site requirement indicates a preference for in-person collaboration, which is crucial for complex AI product development and fostering a strong team culture. The availability of multiple US locations offers candidates flexibility in choosing their preferred work environment.

📄 Application & Portfolio Review Process

Interview Process:

1. Application Screening: Initial review of resume and portfolio against the core requirements.
2. Recruiter Screen: A call with a recruiter to discuss your background, interest in the role, and basic qualifications.
3. Hiring Manager Interview: A deeper dive into your experience, design philosophy, and strategic thinking, often including case studies from your portfolio.
4. Design Portfolio Review: A dedicated session where you present your most relevant projects, focusing on process, impact, and collaboration. Expect detailed questions about your decision-making.
5. Cross-Functional Interviews: Interviews with Product Managers, Engineers, and UX Researchers to assess collaboration skills and domain understanding.
6. Whiteboarding/Design Challenge: You may be given a hypothetical design problem to solve or critique, demonstrating your problem-solving and design process in real-time.
7. Final Round/Executive Interview: Potentially an interview with senior leadership to assess strategic fit and overall impact.

Portfolio Review Tips:

• Curate Strategically: Select projects that best showcase your experience with AI products, growth strategies, and complex design challenges. Tailor your portfolio to the "Information Verticals" aspect if possible.
• Tell a Story: For each project, clearly articulate the problem, your process, your specific contributions, the trade-offs you made, and the quantifiable results.
• Highlight Collaboration: Emphasize how you worked with cross-functional teams, managed stakeholders, and incorporated feedback.
• Showcase AI Fluency: Explain how you incorporated AI/ML insights or designed for AI-driven features.
• Be Ready for Deep Dives: Anticipate detailed questions about your design rationale, decision-making process, and the impact of your work.

Challenge Preparation:

• Understand the Product: Familiarize yourself deeply with the Gemini App, its current features, target audience, and potential areas for growth or improvement.
• Think Strategically: Consider how to approach problems related to AI product adoption, user engagement, and discovery of complex features.
• Focus on User Value: Always tie your solutions back to user needs and how they deliver tangible value.
• Practice Articulation: Be prepared to clearly explain your thought process, design decisions, and rationale under time pressure.

📝 Enhancement Note: The interview process at DeepMind is rigorous and designed to evaluate not just design skills but also strategic thinking, leadership potential, and cultural fit within a research-intensive environment. A strong portfolio presentation is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), InVision, Framer.
• AI Prototyping Tools: Depending on the specific needs, tools for building interactive AI demos or simulating AI interactions might be used.
• Collaboration: Google Workspace (Docs, Sheets, Slides), Jira, Confluence.

Analytics & Reporting:

• Data Analysis Platforms: Google Analytics, internal data dashboards, potentially SQL or Python for data exploration.
• User Research Tools: UserTesting.com, Qualtrics, Dovetail, or internal research platforms.

CRM & Automation:

• While not a direct CRM role, understanding how user data flows from product interaction to CRM or marketing automation systems could be beneficial for growth strategies.

📝 Enhancement Note: Proficiency with industry-standard design and prototyping tools is expected. Familiarity with data analysis tools and user research platforms is crucial for informing design decisions in an AI-centric product environment. The ability to prototype AI interactions is a distinct advantage.

👥 Team Culture & Values

Operations Values:

• Scientific Rigor & Excellence: A commitment to the highest standards of research, development, and design.
• Impact & Purpose: Driving innovation that benefits humanity and advances the field of AI.
• Collaboration & Openness: Fostering an environment where diverse perspectives are valued and knowledge is shared freely.
• Ethical AI: Prioritizing safety, fairness, and responsibility in the development and deployment of AI technologies.
• Continuous Learning: Encouraging curiosity, experimentation, and personal growth.

Collaboration Style:

• Cross-Functional Partnership: Expect deep collaboration with product, engineering, and research teams, where design is an integrated part of the product development process.
• Data-Informed Dialogue: Discussions are grounded in data, user insights, and research findings.
• Constructive Feedback: An environment that encourages open and honest feedback to improve designs and processes.
• Proactive Communication: A culture of keeping stakeholders informed and proactively addressing potential issues.

📝 Enhancement Note: DeepMind's culture is a blend of academic research and cutting-edge product development. The values emphasize intellectual curiosity, a drive for impact, and a strong ethical compass, which are critical for working on advanced AI technologies.

⚡ Challenges & Growth Opportunities

Challenges:

• Ambiguity in AI Product Design: Navigating the evolving landscape of AI capabilities and translating them into clear, intuitive user experiences.
• Defining User Value in AI: Clearly articulating and demonstrating the tangible benefits of AI features to diverse user segments.
• Balancing Innovation with Usability: Pushing the boundaries of AI while ensuring the product remains accessible and easy to use.
• Cross-Functional Alignment: Effectively managing priorities and perspectives across multiple disciplines (product, engineering, research, marketing) to drive cohesive strategies.
• Scaling Design: Ensuring design solutions can scale effectively across different platforms, geographies, and user bases.

Learning & Development Opportunities:

• Access to World-Class AI Research: Direct exposure to the latest advancements in AI and ML.
• Specialized AI Design Training: Opportunities to develop deep expertise in designing for AI-powered products.
• Industry Conferences & Workshops: Participation in leading design and AI events.
• Mentorship Programs: Guidance from experienced designers and AI researchers.
• Internal Knowledge Sharing: Regular talks, workshops, and forums within DeepMind and Google.

📝 Enhancement Note: This role presents exciting challenges at the forefront of AI product development. The growth opportunities are substantial, offering a chance to shape the future of AI interaction and advance one's career in a highly innovative field.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing for feature discovery in a rapidly evolving AI product like Gemini, especially for new global audiences?"
• "Describe a time you had to influence cross-functional stakeholders to adopt a novel design solution for a complex product. What was your strategy?"
• "Imagine Gemini's 'Information Verticals' need to be more engaging. What are some design strategies you'd explore, and how would you validate them?"
• "How do you balance pushing the boundaries of AI innovation with ensuring a user-friendly and accessible experience?"

Company & Culture Questions:

• "What interests you most about DeepMind and the Gemini App specifically?"
• "How do you approach ethical considerations when designing AI products?"
• "Describe your experience working in a highly collaborative, research-driven environment."
• "How do you stay updated on the latest trends in AI and UX design?"

Portfolio Presentation Strategy:

• Structure for Impact: Begin with a high-level overview of the project and its goals, then dive into your process.
• Focus on 'Why': Clearly articulate the strategic thinking and user insights that drove your design decisions.
• Demonstrate Collaboration: Explain how you worked with PMs, engineers, and researchers, and how you incorporated their feedback.
• Quantify Results: Use metrics to show the impact of your design solutions on user engagement, growth, or other key objectives.
• Be Prepared for Live Critique: Anticipate questions that challenge your decisions or ask you to iterate on a design concept on the spot.

📝 Enhancement Note: Preparation should focus on showcasing strategic thinking, deep user empathy, strong collaborative skills, and a clear understanding of AI product development challenges. Highlighting quantifiable outcomes in your portfolio is crucial.

📌 Application Steps

To apply for this product design position:

• Submit your application through the Greenhouse job portal linked.
• Portfolio Customization: Ensure your portfolio is tailored to highlight relevant AI product design, growth strategy, and cross-functional collaboration experience. Prioritize projects demonstrating impact and strategic thinking.
• Resume Optimization: Update your resume to clearly articulate your senior-level experience, specific contributions to AI products, and quantifiable achievements in driving user engagement and growth. Use keywords from the job description.
• Interview Preparation: Practice presenting your portfolio projects, focusing on your design process, decision-making rationale, and the measurable impact of your work. Prepare for potential design challenges and strategy-based questions.
• Company Research: Deeply understand DeepMind's mission, values, and the Gemini App's current positioning. Be ready to articulate why you are a good fit for their innovative and research-driven culture.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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