Senior UX Writer and Content Designer, Search Discover

📍 Job Overview

Job Title: Senior UX Writer and Content Designer, Search Discover

Company: Google

Location: San Francisco, CA; Mountain View, CA; New York, NY

Job Type: Full-time

Category: UX Writing / Content Design

Date Posted: 2026-08-04

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Drive the creation of compelling and user-centric content for Google's Search Discover product, focusing on enhancing user understanding and engagement with AI-powered features.

• Shape product narratives and user experiences through strategic UX writing and content design, ensuring a cohesive voice and intuitive interface for billions of users globally.

• Collaborate closely with cross-functional teams, including Design, Research, Product Management, and Engineering, to conceptualize, test, and iterate on AI features and content delivery mechanisms.

• Leverage expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Generative AI to inform content strategy, AI prompting, and the delivery of information from across the web.

• Develop and maintain content guidelines and principles that govern the use of AI and the presentation of information, ensuring consistency and quality across the Google app.

📝 Enhancement Note: This role is explicitly focused on the intersection of UX Writing, Content Design, and cutting-edge AI technologies within Google Search. The emphasis on "Discover" and the "home tab of the Google app" indicates a focus on proactive information delivery and user exploration, requiring a strong strategic content approach. The mention of "billions of people globally" underscores the scale and impact of this role.

📈 Primary Responsibilities

• AI Feature Development: Partner with design, research, product, and engineering teams to ideate, develop, and refine new AI-driven features within the Discover product.

• AI Prompt Engineering: Write, test, and iterate on AI prompts in close collaboration with engineering, optimizing for user understanding, relevance, and engagement.

• UI Text Crafting: Develop clear, concise, and empowering UI text that educates users on new features and guides them through complex interactions.

• Content Innovation: Identify and explore novel, compelling methods for delivering diverse web content to users within the Discover interface.

• Content Strategy & Guidelines: Create and maintain comprehensive content guidelines, principles, and best practices for the use of AI and the delivery of information, ensuring a unified voice and consistent user experience.

• User Advocacy: Act as a champion for the user, ensuring that content choices simplify and beautify the overall user experience, making complex information accessible.

• Cross-Functional Collaboration: Work effectively with researchers, product managers, engineers, marketing, and customer operations to align content strategy with product goals and user needs.

• Data-Informed Decisions: Utilize product analytics and user feedback to inform content choices, recommendations, and strategic direction.

• Storytelling & Narrative: Employ storytelling techniques to create engaging and meaningful product narratives across multiple platforms and touchpoints.

📝 Enhancement Note: The responsibilities highlight a blend of tactical content creation (UI text, AI prompts) and strategic leadership (content guidelines, new delivery methods, influencing project direction). The emphasis on AI and LLMs indicates a need for candidates who are not just writers but also understand the nuances of AI-generated content and how to guide it effectively.

🎓 Skills & Qualifications

Education:

• Bachelor's degree or equivalent practical experience in a relevant field. Experience:

• Minimum of 6 years of experience in UX writing, content design, technical writing, editorial, marketing, or related fields.

• Proven experience leading content strategy projects.

• Demonstrated experience in UX-focused product writing and shaping content for multi-disciplinary projects.

• Experience working with Large Language Models (LLMs), Natural Language Processing (NLP), or Generative AI. Required Skills:

• UX Writing & Content Design: Expertise in crafting clear, concise, and user-centered copy for digital products.

• Content Strategy: Ability to define and execute comprehensive content strategies that align with product goals and user needs.

• AI & LLMs: Familiarity with Large Language Models, NLP, and Generative AI concepts, including practical application in content creation.

• Cross-Functional Collaboration: Proven ability to work effectively with diverse teams (design, product, engineering, research, marketing).

• Portfolio Development: Ability to showcase work through a portfolio, website, or other relevant links, demonstrating skills and project impact.

• User Experience Principles: Understanding of UX principles and how to apply them to content creation.

• Technical Writing Acumen: Ability to translate complex technical information into user-friendly language.

Preferred Skills:

• 3 years of experience in a complex, cross-functional technology organization.

• Experience leveraging UX principles to guide or challenge project direction and strategy.

• Experience with editorial writing for digital publications or blogs.

• Experience with AI prompting and evaluations.

• Knowledge of product analytics and ability to make data-informed writing decisions.

• Strong storytelling skills.

• UI text design proficiency.

📝 Enhancement Note: The distinction between minimum and preferred qualifications is crucial. While a strong foundation in UX writing is essential, the preferred qualifications highlight a desire for candidates who can influence strategy, have a deeper understanding of AI evaluation, and can leverage data to refine content. The requirement for a portfolio is a critical part of the evaluation process.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated UX Writing & Content Design: Showcase examples of UI text, microcopy, and user flows that clearly articulate product functionality and enhance user experience.

• Content Strategy Examples: Include case studies or project summaries that illustrate your ability to define content goals, target audiences, and strategic approaches.

• AI/LLM Application: Provide examples of how you've worked with or considered AI-generated content, including any experience with AI prompting or evaluating AI outputs.

• Cross-Functional Collaboration: Highlight projects where you successfully collaborated with designers, product managers, and engineers, demonstrating your ability to integrate content into the broader product development lifecycle.

• Problem/Solution Focus: Clearly articulate the user problem or business challenge addressed by your content solutions, and the impact of your work.

• Process & Iteration: Show evidence of your process, including research, ideation, iteration, and the use of data or user feedback to refine content.

Process Documentation:

• Workflow Design: Evidence of designing and optimizing content workflows, from initial concept to final implementation.

• System Integration: Examples of how content considerations were integrated into product development systems and processes.

• Performance Measurement: Documentation of how content performance was measured and analyzed, with a focus on user engagement, task completion, and overall impact.

📝 Enhancement Note: For a role at Google, particularly in a product area like Search Discover, the portfolio is paramount. It needs to go beyond just showcasing writing samples; it must demonstrate strategic thinking, a deep understanding of user experience, and the ability to navigate complex technical environments, especially concerning AI. Candidates should be prepared to discuss their process and the metrics used to evaluate their work.

💵 Compensation & Benefits

Salary Range: $159,000 - $230,000 (USD) per year

Bonus Target: 15%

Additional Compensation: Equity

Benefits: Health insurance, Retirement benefits, and other benefits detailed on Google's careers page.

Working Hours:

• Standard full-time hours (typically 40 hours per week), with flexibility expected for project demands and cross-functional collaboration.

📝 Enhancement Note: The provided salary range is specific to the US market and reflects a senior-level position at a major tech company. The inclusion of bonus targets and equity signifies a comprehensive total compensation package. Candidates should research comparable roles in their specific location if applying from outside the listed US cities, though the primary focus appears to be on-site in these locations.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Internet Services & Software)

Company Size: Large (100,000+ employees)

Founded: 1998

Company Description: Google is a global technology leader focused on organizing the world's information and making it universally accessible and useful. They develop innovative products and services across search, advertising, cloud computing, hardware, and more, aiming to solve complex problems and improve people's lives through technology.

Team Structure:

• Product Area: Search Discover, part of the broader Google Search organization.

• Cross-Functional: The team comprises UX Designers, UX Writers, Researchers, Product Managers, Software Engineers, and potentially Marketing and Operations specialists.

• Reporting: Senior UX Writers typically report to a UX Design Lead, Content Design Manager, or a Product Lead within the Search Discover team.

• Collaboration: Emphasis on highly collaborative, iterative development cycles with frequent feedback loops.

Methodology:

• User-Centered Design: A core tenet, with heavy reliance on user research, testing, and data analysis to inform product decisions.

• Agile Development: Iterative product development cycles, allowing for rapid prototyping, testing, and refinement.

• Data-Driven Insights: Extensive use of product analytics, A/B testing, and user feedback to measure impact and guide strategy.

• AI Integration: A significant focus on leveraging AI (LLMs, NLP, Generative AI) to enhance user experiences and product capabilities.

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

📝 Enhancement Note: Google's culture is characterized by its data-driven approach, emphasis on innovation, and a highly collaborative, fast-paced environment. For a UX Writer/Content Designer, this means being comfortable with ambiguity, embracing iterative processes, and being able to articulate the value of content through data and user insights. The "Discover" team specifically focuses on proactive information surfacing, which requires a unique approach to content strategy and user engagement.

📈 Career & Growth Analysis

Operations Career Level: Senior UX Writer and Content Designer. This level indicates significant experience and the ability to operate independently, influence strategy, and mentor junior team members.

Reporting Structure: Expected to report to a manager or lead within the Search Discover product area, with direct collaboration across engineering, product management, and design.

Operations Impact: The role has a direct impact on how billions of users interact with and understand AI-driven features within Google Search. Content decisions directly influence user engagement, task completion, and overall product perception. This role is critical in translating complex AI capabilities into accessible and valuable user experiences.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI, LLMs, and Generative AI applications for UX content.

• Product Leadership: Advance to lead content strategy for larger product areas or new initiatives within Google Search.

• Mentorship: Guide and mentor junior UX writers and content designers.

• Cross-Product Mobility: Potential to move into similar senior roles within other Google product areas.

• Strategic Influence: Grow influence over product strategy and roadmaps through impactful content contributions.

📝 Enhancement Note: This is a senior individual contributor role with significant scope. Growth typically involves taking on more strategic responsibilities, leading larger projects, or moving into management. The emphasis on AI presents a unique opportunity for specialization in a rapidly evolving field.

🌐 Work Environment

Office Type: On-site. Google offices are known for their collaborative design, abundant amenities, and focus on employee well-being.

Office Location(s): San Francisco, CA; Mountain View, CA; New York, NY. These are major tech hubs offering vibrant work environments and extensive networking opportunities.

Workspace Context:

• Collaborative Spaces: Access to open work areas, meeting rooms, and informal collaboration zones designed to foster teamwork and idea exchange.

• Tools & Technology: State-of-the-art hardware and software, including specialized tools for design, prototyping, content management, and analytics.

• Team Interaction: Frequent opportunities for in-person interaction with colleagues, fostering strong working relationships and efficient problem-solving.

• Amenities: Access to on-site amenities such as cafes, fitness centers, and recreational areas, contributing to a positive and productive work environment.

Work Schedule:

• While the role is full-time (typically 40 hours/week), Google often offers flexibility in daily scheduling, provided project deadlines and team collaboration needs are met. Availability for critical meetings and deadlines is paramount.

📝 Enhancement Note: The on-site requirement emphasizes Google's commitment to in-person collaboration and the benefits of a shared physical workspace for innovation and team cohesion. The environment is designed to support productivity and creativity.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio by a recruiter or hiring manager to assess qualifications and fit.

• Portfolio Review & Discussion: In-depth presentation and discussion of your portfolio, focusing on specific projects, your process, and impact. This is often a key part of the early stages.

• Technical/Skills Interviews: Interviews focused on UX writing principles, content strategy, AI prompting, and problem-solving abilities. May include a practical exercise or case study.

• Cross-Functional Interviews: Conversations with potential team members (Designers, PMs, Engineers) to assess collaboration style and technical understanding.

• Hiring Committee Review: Final candidates' profiles and interview feedback are typically reviewed by a hiring committee for a standardized assessment.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your strongest, most relevant projects that showcase your UX writing, content design, content strategy, and AI experience.

• Tell a Story: For each project, clearly articulate the problem, your role, your process (research, ideation, iteration), the solution, and the quantifiable impact.

• Highlight AI Interaction: If possible, showcase projects where you've worked with AI, even if it was in an evaluative or prompting capacity. Explain your approach to guiding or refining AI-generated content.

• Demonstrate Process: Show your thought process – wireframes, content outlines, style guides, A/B test results, user feedback analysis.

• Be Concise & Clear: Ensure your presentation is well-organized, easy to follow, and directly addresses the requirements of the role.

• Prepare for Q&A: Be ready to discuss your decisions, challenges, and learnings in detail.

Challenge Preparation:

• Case Study/Exercise: Be prepared for a take-home assignment or an in-interview exercise that simulates a real-world problem. This might involve writing UI text for a new feature, developing a content strategy for a specific user flow, or evaluating AI output.

• Focus on AI: Given the role's focus, expect challenges that involve AI integration, prompt engineering, or content generation strategy for AI-powered products.

• Think Big: Demonstrate strategic thinking that aligns with Google's scale and impact. Consider how your solutions would scale globally and impact millions of users.

• Data & Metrics: Be ready to discuss how you would measure the success of your content solutions, using quantitative and qualitative data.

📝 Enhancement Note: The interview process at Google is rigorous and often multi-stage. The portfolio review is critical, and candidates should prepare thoroughly to articulate their contributions and strategic thinking, especially concerning AI. The emphasis on problem-solving and data-driven decision-making is key.

🛠 Tools & Technology Stack

Primary Tools:

• Prototyping & Design Tools: Figma, Sketch, Adobe Creative Suite (for design collaboration and asset review).

• Content Management Systems (CMS): While not explicitly stated, experience with CMS platforms is often beneficial for managing and deploying content.

• Collaboration Platforms: Google Workspace (Docs, Sheets, Slides, Meet), Slack, JIRA, Confluence.

• AI/ML Platforms: Familiarity with platforms or interfaces for interacting with LLMs and Generative AI models is a significant plus.

Analytics & Reporting:

• Product Analytics Tools: Google Analytics, internal Google analytics platforms (e.g., GA4), Amplitude, Mixpanel.

• Data Visualization Tools: Tableau, Looker (Google's BI platform), or similar for interpreting data and creating reports.

• A/B Testing Tools: Google Optimize, Optimizely, or internal experimentation platforms.

CRM & Automation:

• Not directly applicable to this UX Writing/Content Design role, but an understanding of how content integrates with user journeys managed by CRM systems can be helpful.

📝 Enhancement Note: While this role is not a "tools" role in the traditional operations sense, familiarity with the broader tech stack used in product development and data analysis is essential. The ability to understand and work with AI tools and platforms is a core requirement.

👥 Team Culture & Values

Operations Values (Google's Core Values):

• Focus on the user and all else will follow: User-centricity is paramount; all content decisions should prioritize user needs and experience.

• It's best to do one thing really, really well: Strive for excellence and deep expertise in UX writing, content design, and AI applications for products.

• Fast is better than slow: Embrace agility and iterative development to deliver value quickly while maintaining quality.

• Democracy on the web works: Commitment to accessibility, inclusivity, and making information universally available.

• You don't need to be at your desk to need an answer: Emphasis on accessibility of information and collaboration tools.

• You can make money without doing evil: Ethical considerations in product development and content.

• There's always more information out there: Continuous learning and exploration of new ideas and technologies, especially in AI.

• The need to know outweighs the need to hide: Transparency in processes and information sharing.

• Great just isn't good enough: A culture of continuous improvement and pushing boundaries.

Collaboration Style:

• Empathetic & Inclusive: Valuing diverse perspectives and fostering an environment where all team members feel heard.

• Data-Informed & Iterative: Collaborating through data analysis, user feedback, and iterative design/content cycles.

• Direct & Constructive: Open communication, providing and receiving feedback constructively to drive product improvement.

• Goal-Oriented: Focused on achieving shared product objectives through effective teamwork.

📝 Enhancement Note: Google's values strongly influence its work culture. For a Senior UX Writer, embodying these values means being user-obsessed, detail-oriented, collaborative, and forward-thinking, especially regarding AI advancements.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling Content for Billions: Ensuring content is clear, effective, and culturally appropriate for a global audience of billions.

• Navigating AI Complexity: Translating complex, evolving AI capabilities into simple, user-friendly experiences.

• Balancing Innovation with Consistency: Introducing new AI features while maintaining a consistent brand voice and user experience across Google Search.

• Influencing Product Direction: Effectively advocating for content strategy and user needs within a fast-paced, engineering-driven environment.

• Measuring Content Impact: Quantifying the value and ROI of UX writing and content design, especially for nuanced AI interactions.

Learning & Development Opportunities:

• AI & Machine Learning Immersion: Access to internal Google resources, courses, and expert networks to deepen understanding of AI technologies.

• Advanced Content Strategy: Opportunities to develop and lead content strategies for large-scale, complex products.

• Leadership Development: Training and mentorship programs for advancing into leadership roles within UX and content design.

• Industry Conferences & Workshops: Participation in leading UX and content design events to stay abreast of industry trends.

• Cross-Functional Skill Building: Learning from experts in product management, engineering, and research to broaden technical and strategic understanding.

📝 Enhancement Note: The challenges in this role stem from its scale, the cutting-edge nature of AI, and the need to influence product strategy. Growth opportunities are abundant, particularly for those interested in specializing in AI content or moving into leadership positions.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex product feature you worked on that involved AI. What was your role, what were the content challenges, and how did you address them?" (Focus on your process, AI interaction, and problem-solving.)

• "How would you approach creating content guidelines for AI-generated responses in a product like Google Discover?" (Demonstrate strategic thinking, user focus, and awareness of AI limitations/potential.)

• "Imagine we're launching a new AI feature that summarizes web content. What are the key content considerations for educating users and ensuring trust?" (Showcase your ability to anticipate user needs and potential issues.) Company & Culture Questions:

• "How do Google's core values align with your approach to UX writing and content design?" (Connect your work to user-centricity, speed, and continuous improvement.)

• "Describe a time you had to influence stakeholders (e.g., engineers, product managers) to adopt your content recommendations. How did you approach it?" (Highlight collaboration, data advocacy, and persuasive communication.)

• "How do you stay updated on advancements in AI and Generative AI, and how might that inform your work at Google?" (Showcase curiosity and proactive learning.) Portfolio Presentation Strategy:

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

• AI Focus: If possible, highlight projects where you've engaged with AI. Be ready to explain your specific contributions (e.g., prompt design, output evaluation, content refinement).

• Data & Metrics: Quantify your impact whenever possible. Discuss how you used data to inform decisions or measure success.

• Conciseness: Keep your presentation focused and within any allotted time limits. Be prepared for deep dives into specific aspects.

• Authenticity: Be genuine about your experiences, challenges, and learnings.

📝 Enhancement Note: Preparation should focus on demonstrating strategic thinking, a deep understanding of UX principles applied to AI, and the ability to collaborate effectively. Candidates must be ready to articulate their process and impact with concrete examples, especially those related to AI and large-scale products.

📌 Application Steps

To apply for this Senior UX Writer and Content Designer position:

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

• Portfolio Customization: Ensure your portfolio is up-to-date, showcases your best work relevant to UX writing, content design, content strategy, and AI interaction, and is easily accessible.

• Resume Optimization: Tailor your resume to highlight experience with UX writing, content strategy, AI/LLMs, cross-functional collaboration, and product development within tech environments. Use keywords from the job description.

• Interview Preparation: Practice articulating your portfolio projects, prepare answers to common UX writing and AI-related interview questions, and research Google's product suite and design philosophy.

• Company Research: Familiarize yourself with Google's mission, values, and recent developments in AI and Search, particularly the Discover product. Understand how your role contributes to Google's broader goals.

⚠️ 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.