UX Conversation Designer, Geo UX

📍 Job Overview

Job Title: UX Conversation Designer, Geo UX

Company: Google

Location: New York, NY, United States

Job Type: Full-time

Category: UX Design / Conversation Design / Generative AI

Date Posted: April 07, 2026

Experience Level: Mid-Senior Level (2-5 years)

Remote Status: On-site

🚀 Role Summary

• Design and implement cutting-edge conversational AI experiences for a leading technology company, focusing on Generative AI (GenAI) and multi-modal interactions.

• Drive user-centered product strategies and create seamless, natural interactions across various platforms, including smart speakers, smart displays, and automotive applications.

• Collaborate with cross-functional teams of UX Designers, Researchers, Writers, and Engineers to deliver innovative solutions for the Geo UX team, impacting billions of users globally.

• Leverage AI tools to enhance writing productivity, improve routine work quality, and shape the future of AI-driven user experiences within Google's product ecosystem.

• Contribute to the evolution of user interfaces by translating complex AI models and agentic AI experiences into actionable product direction and tangible improvements.

📝 Enhancement Note: This role is positioned within the Geo UX team, indicating a focus on location-based services and mapping products like Google Maps. The emphasis on GenAI, conversational AI, and multi-modal interaction suggests a forward-thinking role at the intersection of AI and user experience design. The "UX Conversation Designer" title implies a strong emphasis on crafting natural language interfaces and user journeys within AI-powered applications.

📈 Primary Responsibilities

• Develop and execute high-quality UX outcomes and content deliverables for specific product areas within the Geo UX team, applying foundational design principles and scalable strategies.

• Design conversational flows, prompts, and multi-modal interaction patterns that enhance user engagement and product usability across various surfaces.

• Utilize AI tools and prompt engineering techniques to improve writing productivity, elevate routine work quality, and actively shape AI-driven user experiences.

• Collaborate closely with cross-functional stakeholders, including product managers, engineers, researchers, and other designers, to advance projects and navigate complex challenges.

• Provide critical feedback and direction on design work, ensuring alignment with user needs, product requirements, and business objectives.

• Champion user-centered product strategies, advocating for solutions that address defined user problems and mitigate future issues through strategic design.

• Ensure adherence to essential global processes, including localization requirements, privacy standards, and accessibility guidelines, for all designed user experiences.

• Translate complex AI model outputs and agentic AI concepts into clear product direction and actionable improvements for user-facing features.

• Contribute to the development and scaling of frameworks and standards for content and conversation design, ensuring quality across multi-modal user experiences.

📝 Enhancement Note: The responsibilities highlight a blend of direct design execution, strategic thinking, and cross-functional leadership. The emphasis on "scalable strategies" and "global processes" indicates a need for a designer who can think systemically and consider the broad impact of their work. The explicit mention of "GenAI content and conversational design work" alongside "model UX, and video production" suggests a diverse and evolving scope within the role.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience.

Experience:

• A minimum of 4 years of professional experience in UX design, product design, conversation design, or UX writing/content design.

• Demonstrated experience in designing conversational AI prompts, including AI prompt engineering, for diverse user contexts and applications.

Required Skills:

• Conversation Design: Proven ability to design natural, intuitive, and effective conversational interfaces and user journeys.

• UX Design Principles: Strong understanding and application of core UX design principles, user research methodologies, and interaction design.

• AI Prompt Engineering: Expertise in crafting and optimizing prompts for Generative AI models to achieve desired user experiences and content outputs.

• Content Design & UX Writing: Proficiency in creating clear, concise, and user-centered content for digital products, with an understanding of tone, voice, and style guides.

• Cross-functional Collaboration: Demonstrated ability to work effectively with engineers, product managers, researchers, and other stakeholders.

Preferred Skills:

• Content Strategy: Experience in defining and executing content strategies that align with product goals and user needs.

• Model UX & Agentic AI: Familiarity with defining and designing user experiences for AI models and agentic AI systems.

• Multi-modal Interaction Design: Experience designing for interfaces that combine multiple modes of interaction (e.g., voice, text, visual).

• Accessibility Standards & Localization: Knowledge of global accessibility guidelines and localization best practices for digital products.

• Product Direction: Ability to translate user insights and technical capabilities into strategic product direction and improvements.

• Video Production Collaboration: Experience working with or contributing to video production for user experience demonstrations or tutorials.

📝 Enhancement Note: The distinction between minimum and preferred qualifications suggests that candidates with a strong foundation in core UX and conversation design, coupled with AI prompt engineering experience, will be competitive. Preferred qualifications point towards a candidate who can operate at a strategic level, lead initiatives, and has experience with advanced AI concepts and multi-modal design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Diverse Case Studies: Showcase a minimum of 2-3 comprehensive case studies demonstrating your end-to-end process in conversation design, UX design, or content design for AI-driven products.

• AI Prompt Engineering Examples: Include specific examples of prompts you have designed, explaining the rationale behind their structure, the AI models they targeted, and the resulting user experience or content output.

• User-Centric Design Process: Clearly articulate your approach to understanding user needs, conducting research, and translating insights into design solutions.

• Impact & Metrics: Quantify the impact of your design work using relevant metrics where possible (e.g., user satisfaction, task completion rates, efficiency gains, engagement levels).

• Collaboration & Iteration: Illustrate how you collaborated with cross-functional teams and iterated on designs based on feedback and testing.

Process Documentation:

• Workflow Design: Demonstrate experience in designing and documenting complex user workflows, particularly for conversational interfaces and AI interactions.

• System Integration Understanding: Show an understanding of how conversational experiences integrate with broader product systems and data pipelines.

• Scalable Frameworks: Highlight any experience in developing or contributing to scalable design frameworks, content guidelines, or style guides that ensure consistency and quality.

📝 Enhancement Note: For a role like this, the portfolio is paramount. It needs to go beyond static UI designs and showcase dynamic, interactive experiences. Emphasis should be placed on demonstrating the candidate's thought process, problem-solving skills, and ability to articulate the "why" behind their design decisions, especially concerning AI interactions and prompt engineering.

💵 Compensation & Benefits

Salary Range:

• The US base salary range for this full-time position is $132,000 - $189,000 per year.

• This range is determined by factors including role, level, work location, job-related skills, experience, and education.

Benefits:

• Bonus: Performance-based annual bonus.

• Equity: Stock options or grants as part of the overall compensation package.

• Health Insurance: Comprehensive health, dental, and vision insurance plans.

• Retirement Savings: 401(k) plan with company match.

• Paid Time Off: Generous vacation, sick leave, and paid holidays.

• Parental Leave: Extended paid parental leave for new parents.

• Wellness Programs: Access to fitness programs, mental health resources, and employee assistance programs.

• Professional Development: Opportunities for learning, training, conferences, and tuition reimbursement.

• Perks: Employee discounts, commuter benefits, and on-site amenities (depending on office location).

Working Hours:

• This is a full-time position, typically requiring approximately 40 hours per week.

• While on-site, Google often offers flexibility in daily schedules, allowing employees to manage their time effectively to meet project deadlines and personal needs.

📝 Enhancement Note: The salary range provided is competitive for a UX Conversation Designer role at a major tech company in a high-cost-of-living area like New York. The inclusion of bonus and equity indicates a total compensation package that can significantly exceed the base salary. The listed benefits are standard for Google and are quite comprehensive, covering health, financial well-being, work-life balance, and professional growth.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Internet Services and Software)

Company Size: Google is a large enterprise with over 10,000 employees, indicating a vast network of resources, opportunities, and a structured work environment.

Founded: 1998, signifying a well-established company with a long history of innovation and market leadership.

Team Structure:

• Geo UX Team: This is a specialized group within Google's broader UX organization, focused on enhancing the user experience of mapping and location-based products.

• Multi-disciplinary Collaboration: The team comprises UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers, fostering a collaborative and integrated approach to product development.

• Reporting Structure: While not explicitly stated, roles at this level typically report to a UX Manager or Lead within the Geo UX division, with significant interaction with Product Management and Engineering leads.

Methodology:

• User-Centric Design: Google's core philosophy, "Focus on the user and all else will follow," permeates all design processes, emphasizing deep user understanding and empathy.

• Data-Driven Decisions: Insights from user research, analytics, and A/B testing are critical inputs for design iterations and strategic planning.

• Agile Development: Projects likely follow agile or similar iterative methodologies, allowing for rapid prototyping, testing, and adaptation.

• Scalable Strategies: The team focuses on developing design frameworks and processes that can be applied consistently across multiple products and regions.

Company Website: https://www.google.com

📝 Enhancement Note: Google's culture is known for its emphasis on innovation, data-driven decision-making, and a strong focus on the user. The Geo UX team specifically operates within a domain critical to Google's business, meaning this role has the potential for significant impact and visibility. The large company size offers extensive resources and career development opportunities, but also requires strong individual initiative and the ability to navigate complex organizational structures.

📈 Career & Growth Analysis

Operations Career Level:

Reporting Structure:

Operations Impact:

Growth Opportunities:

• Specialization: Deepen expertise in Conversation Design, AI Prompt Engineering, and specific AI model UX, becoming a go-to expert in these areas.

• Leadership: Progress to a Senior UX Conversation Designer or Lead role, taking on more complex projects, mentoring junior designers, and shaping team strategy.

• Cross-functional Mobility: Transition into related roles such as Senior UX Designer, Content Strategist, Product Manager, or UX Researcher within Geo or other Google product areas.

• Technical Acumen: Develop a stronger understanding of AI/ML technologies, enabling more informed and innovative design solutions.

• Industry Influence: Contribute to shaping best practices and standards in conversational AI design through internal initiatives and potentially external thought leadership.

📝 Enhancement Note: The growth trajectory for this role is strong, leveraging Google's scale and focus on AI. Candidates can expect opportunities to specialize, lead, and potentially move into broader product management or design leadership roles as they gain experience and demonstrate impact.

🌐 Work Environment

Office Type:

Office Location(s):

Workspace Context:

• Collaborative Spaces: The workspace will likely feature open-plan areas, meeting rooms, and dedicated project spaces designed to facilitate teamwork and spontaneous interactions.

• Tools and Technology: Access to state-of-the-art hardware, software, and internal Google tools for design, prototyping, communication, and AI development.

• Team Interaction: Frequent opportunities for informal and formal interactions with team members, fostering a culture of knowledge sharing and mutual support. The on-site nature promotes spontaneous brainstorming and quicker problem-solving.

• Amenities: Google offices typically offer extensive amenities, including food services, fitness centers, recreational areas, and quiet zones, supporting employee well-being and productivity.

Work Schedule:

• The standard work schedule is approximately 40 hours per week. While on-site, Google generally supports flexible working hours, allowing employees to structure their days to optimize productivity and work-life balance, provided project deadlines and team collaboration needs are met.

📝 Enhancement Note: The on-site requirement in New York City points to a highly collaborative and resource-intensive work environment. Candidates should be prepared for a fast-paced office setting conducive to team-based innovation and rapid iteration, with strong support systems in place.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will review your application and portfolio. Be sure your resume clearly highlights relevant experience and your portfolio link is prominent and accessible.

• Phone/Video Interview: Expect an initial conversation with a UX professional (potentially a hiring manager or senior designer) to discuss your background, motivations, and high-level fit for the role.

• Portfolio Review & Design Challenge: This is a critical stage. You will likely present your portfolio to a panel of designers and potentially product managers. This may be followed by a design challenge or a take-home assignment focused on conversation design, AI prompt engineering, or UX writing for a specific scenario.

• On-site/Virtual On-site Interviews: Multiple interviews with various team members, including designers, researchers, product managers, and potentially engineers. These interviews will delve into your design process, problem-solving skills, collaboration style, and understanding of AI and user experience. Expect behavioral questions and scenario-based questions.

• Final Round: Potentially an interview with a senior leader or director to assess overall fit and strategic alignment.

Portfolio Review Tips:

• Curate Selectively: Choose 3-5 of your strongest projects that best showcase your skills in conversation design, AI prompt engineering, and UX writing for AI products.

• Tell a Story: For each project, clearly articulate the problem, your role, your process, the challenges you faced, the solutions you implemented, and the impact of your work. Use visuals and prototypes where possible.

• Highlight AI Specifics: Explicitly demonstrate your experience with conversational AI, prompt engineering, and designing for AI models. Explain your rationale for prompt creation and how you iterated based on AI output.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs.

• Be Prepared to Discuss: Be ready to answer in-depth questions about your design decisions, methodologies, and how you handle trade-offs and feedback.

Challenge Preparation:

• Understand the Constraints: If given a take-home challenge, carefully read and understand all requirements, constraints, and evaluation criteria.

• Focus on Process: Document your thought process clearly, even if you don't reach a "perfect" solution. Show how you approach problems systematically.

• AI & User Focus: Ensure your solutions demonstrate a strong understanding of both AI capabilities and user needs.

• Presentation Skills: Practice presenting your work concisely and effectively, anticipating potential questions.

📝 Enhancement Note: The interview process at Google is rigorous. Candidates must be prepared to demonstrate not only their design skills but also their strategic thinking, problem-solving abilities, and cultural fit. A strong, well-documented portfolio is non-negotiable.

🛠 Tools & Technology Stack

Primary Tools:

• Design Software: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop) for wireframing, prototyping, and visual design.

• Prototyping Tools: Protopie, Framer, or in-built Figma/Sketch prototyping for interactive mockups.

• AI/ML Platforms: Familiarity with platforms or frameworks used for developing and deploying AI models (e.g., TensorFlow, PyTorch, Google AI Platform).

• Prompt Engineering Tools: Experience with interfaces or SDKs for interacting with and tuning large language models (LLMs).

Analytics & Reporting:

• Data Analysis Tools: Google Analytics, Tableau, Looker, or similar tools for analyzing user behavior and product performance metrics.

• User Research Platforms: Tools for conducting user interviews, surveys, and usability testing (e.g., UserTesting.com, Qualtrics).

CRM & Automation:

• While not a core CRM role, understanding how conversational AI integrates with CRM systems (e.g., Salesforce, HubSpot) for lead generation or customer support automation may be beneficial.

• Internal Google Tools: Proficiency with Google's internal suite of collaboration, project management, and design tools is expected.

📝 Enhancement Note: While specific tool requirements aren't listed, candidates should be proficient in industry-standard design and prototyping tools. Crucially, familiarity with AI/ML development environments and prompt engineering interfaces is essential given the role's focus. Understanding how these conversational components integrate into larger product ecosystems is also key.

👥 Team Culture & Values

Operations Values:

• User Focus: A deep commitment to understanding and serving user needs is paramount, driving all design decisions and product development efforts.

• Innovation: A culture that encourages experimentation, pushing boundaries, and exploring novel solutions, especially in the rapidly evolving field of AI.

• Data-Driven: Reliance on data, metrics, and user research to inform strategy, validate designs, and measure impact.

• Collaboration: Strong emphasis on teamwork, open communication, and cross-functional partnerships to achieve shared goals.

• Excellence: A drive for high-quality outcomes, attention to detail, and continuous improvement in all aspects of work.

Collaboration Style:

• Cross-functional Integration: Seamless collaboration between design, product management, engineering, and research teams is the norm. Designers are expected to be active participants in all stages of the product lifecycle.

• Open Feedback Culture: A willingness to give and receive constructive feedback is essential for iteration and growth. Design reviews are common and valued.

• Knowledge Sharing: Encouragement of sharing insights, best practices, and learnings across teams through internal presentations, documentation, and informal discussions.

• Agile and Iterative: Work is typically approached in an agile manner, involving iterative design cycles, regular check-ins, and adaptability to changing requirements.

📝 Enhancement Note: Google's culture values individuals who are not only technically skilled but also collaborative, adaptable, and possess a strong sense of ownership. The emphasis on user focus and data-driven decision-making means that designers must be able to justify their choices with evidence and a clear understanding of user needs.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the swift advancements in Generative AI, LLMs, and conversational AI technologies requires continuous learning and adaptation.

• Balancing Innovation with Scalability: Designing cutting-edge AI experiences that are also scalable, maintainable, and globally consistent presents a significant challenge.

• Complex Multi-Stakeholder Environments: Navigating the needs and priorities of diverse cross-functional teams (Product, Eng, Research, Legal, Policy) requires strong communication and negotiation skills.

• Defining Novel Interaction Patterns: Creating intuitive and effective user interactions for emerging AI capabilities where established best practices may not yet exist.

• Ensuring Ethical AI and User Trust: Designing AI experiences that are responsible, unbiased, transparent, and build user trust.

Learning & Development Opportunities:

• Internal Training & Workshops: Access to Google's extensive internal learning resources, workshops, and expert-led sessions on AI, UX, and product development.

• Industry Conferences & Events: Opportunities to attend leading UX, AI, and conversation design conferences to stay abreast of industry trends and network with peers.

• Mentorship Programs: Participation in formal or informal mentorship programs to gain guidance from senior leaders and experienced professionals.

• Specialized Skill Development: Focused training and project opportunities to deepen expertise in areas like prompt engineering, natural language understanding (NLU), and specific AI model architectures.

• Cross-functional Exposure: Opportunities to collaborate on projects with different teams, broadening understanding of the product development lifecycle and various business functions.

📝 Enhancement Note: The challenges presented are inherent to working at the forefront of AI and UX within a large tech organization. These challenges also represent significant growth opportunities for individuals who are adaptable, intellectually curious, and eager to learn.

💡 Interview Preparation

Strategy Questions:

• Expect questions about how you would approach designing a conversational interface for a new feature in Google Maps (e.g., "Help me find the fastest route avoiding tolls and heavy traffic"). Be prepared to outline your process, including research, ideation, prompt design, and iteration.

• How would you ensure that AI-generated content is accurate, helpful, and aligned with Google's brand voice and user expectations? Discuss your approach to content quality assurance and moderation for AI outputs.

Company & Culture Questions:

• "Why Google?" and "Why this role?" Prepare specific answers that connect your skills and career aspirations to Google's mission, its products (especially Geo), and the specifics of the UX Conversation Designer role.

• How do you stay updated on the latest trends in AI, Generative AI, and conversational design?

Portfolio Presentation Strategy:

• Structure: For each project, use a clear narrative: Problem -> Your Role -> Process -> Solution -> Impact.

• Highlight AI & Conversation: Dedicate specific sections or talking points to your AI prompt engineering efforts, conversational flow design, and how you handled multi-modal aspects.

• Show, Don't Just Tell: Use visuals, mockups, and even short video clips of interactive prototypes or AI outputs to bring your work to life.

• Quantify Success: Be ready to discuss metrics and user feedback that demonstrate the effectiveness of your designs. If direct metrics aren't available, discuss how you would measure success.

• Be Ready for Deep Dives: Anticipate detailed questions about your rationale, trade-offs made, and how you would iterate further.

📝 Enhancement Note: Preparation should focus on demonstrating a blend of creative design thinking, technical understanding of AI, and strong collaborative skills. Quantifiable results and a clear, structured presentation of the portfolio are crucial.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Google Careers portal link provided.

• Portfolio Customization: Tailor your portfolio to highlight your most relevant projects, emphasizing your experience with conversational AI, prompt engineering, and UX writing for AI-driven products. Ensure your work directly addresses the responsibilities and qualifications listed in the job description.

• Resume Optimization: Ensure your resume clearly articulates your years of experience in UX/conversation design and specifically mentions AI prompt engineering, content strategy, and cross-functional collaboration. Use keywords from the job description naturally throughout your resume.

• Interview Preparation: Practice presenting your portfolio projects, focusing on a clear narrative, your design process, and the impact of your work. Prepare answers to common behavioral and situational questions, particularly those related to AI design and collaboration.

• Company Research: Thoroughly research Google's Geo products (e.g., Google Maps) and their current AI initiatives. Understand Google's core values and how they relate to user experience and AI development.

⚠️ 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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