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: Content Design / UX Writing

Date Posted: June 12, 2026

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: On-site

🚀 Role Summary

• Drive the content strategy and design for AI-powered features within Google Search Discover.

• Craft clear, concise, and meaningful user-facing text that enhances task completion and user experience.

• Collaborate closely with cross-functional teams including Product Management, UX Research, Engineering, and Marketing to define product narratives.

• Leverage expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Generative AI to inform content creation and product innovation.

• Develop and maintain content guidelines and principles for AI-generated content and information delivery.

📝 Enhancement Note: This role is specifically focused on the "Search Discover" product area within Google, implying a need for content that helps users explore and stay informed without explicit searching. The emphasis on AI, LLMs, and Generative AI suggests a forward-looking role at the cutting edge of content technology. The "Senior" title and experience requirements indicate a need for leadership in content strategy and execution.

📈 Primary Responsibilities

• Partner with design, research, product, and engineering teams to conceptualize, develop, and iterate on new AI features for the Google Discover platform.

• Write, test, and refine AI prompts in close collaboration with engineering to enhance the quality and effectiveness of Generative AI outputs.

• Experiment with various prompting strategies and model training techniques to continuously improve the quality and relevance of AI-generated content.

• Identify and propose innovative methods for surfacing and delivering diverse content from across the web to users.

• Establish comprehensive guidelines, principles, and best practices for the ethical and effective use of AI in content creation and user information delivery.

• Contribute to a unified voice and cohesive language across multiple platforms and user touchpoints within the Google ecosystem.

• Utilize user empathy, logical reasoning, and product analytics data to inform content decisions and recommendations.

📝 Enhancement Note: The responsibilities highlight a hands-on approach to AI content development, moving beyond traditional UX writing to active involvement in prompt engineering and model evaluation. The focus on "new AI features" and "reimagining what it means to search" suggests a highly innovative and experimental aspect to the role.

🎓 Skills & Qualifications

Education: Bachelor's degree or equivalent practical experience.

Experience:

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

• Demonstrated experience leading content strategy projects.

• Proven experience in UX-focused product writing and shaping content for complex, multi-disciplinary projects. Required Skills:

• Expertise in UX writing and content design principles.

• Strong understanding and practical experience with Large Language Models (LLMs), Natural Language Processing (NLP), and Generative AI.

• Proficiency in crafting and iterating on AI prompts.

• Ability to develop and implement effective content strategies for user-facing products.

• Experience shaping content for user experiences, particularly within a product development lifecycle.

• A portfolio showcasing exceptional UX writing and content design work, demonstrating the ability to simplify and enhance user experiences. Preferred Skills:

• 5 years of experience interacting with executive leadership and presenting strategic content recommendations.

• 3 years of experience working within a complex, cross-functional technology organization, navigating diverse stakeholder needs.

• Experience developing information architecture for intricate documentation sets or product suites, with a strong understanding of localization and accessibility best practices.

• Experience with editorial writing for digital publications or blogs, demonstrating strong narrative and engaging content creation skills.

• Familiarity with AI prompting techniques and model evaluation methodologies.

• Knowledge of product analytics tools and the ability to translate data insights into actionable content decisions.

📝 Enhancement Note: The distinction between minimum and preferred qualifications is crucial. The preferred skills suggest a need for strategic influence, experience in large tech environments, and a deeper understanding of information architecture and data-driven decision-making, aligning with a senior-level role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio demonstrating a track record of impactful UX writing and content design projects.

• Case studies that clearly articulate the problem, your role, the content solutions implemented, and the measurable impact on user experience and business objectives.

• Examples of how you have simplified complex information and created intuitive user interfaces through content.

• Demonstrations of your ability to adapt content for different platforms, user segments, and product goals.

• Evidence of experience with AI-generated content, including examples of prompts used and how they influenced the output. Process Documentation:

• Showcase your ability to define and document content guidelines, style guides, and voice and tone principles, especially for AI-driven content.

• Provide examples of how you have collaborated with engineering and research to integrate content into product development workflows and decision-making processes.

• Illustrate your approach to user research and data analysis that informs content strategy and iteration.

• Demonstrate experience in creating information architecture that supports discoverability and usability for complex product suites.

📝 Enhancement Note: For a Senior UX Writer role, the portfolio is paramount. It needs to go beyond just examples of text to demonstrate strategic thinking, process ownership, and the ability to influence product direction through content. The emphasis on AI content and information architecture is key.

💵 Compensation & Benefits

Salary Range: $159,000 - $231,000 USD per year.

Benefits:

• Target annual bonus of 15%.

• Additional bonus potential.

• Equity (stock options/grants).

• Comprehensive health insurance plans.

• Access to Google's extensive employee benefits package, which may include retirement savings plans, paid time off, parental leave, wellness programs, and professional development opportunities.

Working Hours: Standard full-time hours (typically 40 hours per week), with flexibility expected based on project needs and deadlines.

📝 Enhancement Note: The salary range provided is competitive for a Senior UX Writer role in major tech hubs like San Francisco, Mountain View, and New York. The inclusion of bonus targets, equity, and comprehensive benefits is standard for senior positions at large technology companies like Google. The "40 hours per week" is a baseline, but senior roles often require adaptability.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Software, Internet Services, Artificial Intelligence.

Company Size: Google is a global technology giant with hundreds of thousands of employees worldwide, operating as a subsidiary of Alphabet Inc. This scale offers immense resources, complex organizational structures, and opportunities for broad impact.

Founded: 1998. Google's long history is marked by innovation, a data-driven culture, and a focus on organizing the world's information. This legacy influences its approach to product development, user experience, and content.

Team Structure:

• The "Search Discover" team likely comprises UX Designers, UX Writers, Content Designers, Product Managers, UX Researchers, and Software Engineers specializing in AI and Search technologies.

• Reporting structure will likely involve a direct manager within the UX/Content Design discipline, with close collaboration across product and engineering leadership.

• Cross-functional collaboration is a cornerstone of Google's culture, requiring seamless integration with diverse teams to achieve product goals. Methodology:

• Data-driven decision-making is central to Google's operations, with a strong emphasis on A/B testing, user research, and product analytics to inform content choices.

• Agile methodologies are likely employed for product development, requiring iterative design, frequent feedback loops, and adaptability.

• A focus on user-centric design ensures that all content and product decisions are made with the end-user's needs and experience at the forefront.

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

📝 Enhancement Note: Google's culture is characterized by innovation, a fast-paced environment, and a strong emphasis on data and user feedback. The "Search Discover" team, in particular, is at the forefront of how Google presents information, making it a high-impact area. The scale of Google means navigating complex organizational structures but also provides unparalleled resources.

📈 Career & Growth Analysis

Operations Career Level: Senior UX Writer and Content Designer. This level signifies a professional with substantial experience, capable of leading complex projects, mentoring junior team members, and influencing strategic decisions. The role demands a deep understanding of content strategy, UX principles, and emerging technologies like Generative AI.

Reporting Structure: You will likely report to a UX Design Manager, Content Design Lead, or a similar senior role within the Search organization. You will work in close partnership with Product Managers and Engineering Leads for the Discover product area.

Operations Impact: This role has a direct and significant impact on how billions of users interact with Google Search and Discover. By shaping the language and content of AI-driven features, you will influence user understanding, engagement, and the overall effectiveness of information delivery, directly contributing to Google's mission.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI prompting, Generative AI content evaluation, and advanced content strategy for AI-powered products.

• Leadership Development: Opportunities to lead content initiatives, mentor junior UX writers, and contribute to defining best practices for AI content at Google.

• Cross-Product Exposure: Potential to move into roles that span multiple Google products or focus on different aspects of the Search experience.

• Management Track: With sustained high performance and leadership, potential progression into management roles overseeing UX writing or content design teams.

📝 Enhancement Note: The "Senior" designation implies a path toward leadership, either through individual contribution (deepening specialized expertise) or people management. The role's focus on cutting-edge AI technology positions the individual for high demand and future career opportunities in the evolving tech landscape.

🌐 Work Environment

Office Type: This is an on-site role, meaning you will be working from a Google office location in San Francisco, Mountain View, or New York. Google offices are known for their collaborative design and amenities.

Office Location(s):

• San Francisco, CA: Likely in the SoMa district, a hub for tech companies.

• Mountain View, CA: The main Googleplex, offering a vast campus environment.

• New York, NY: Offices located in Manhattan, a vibrant urban setting.

Workspace Context:

• Collaborative Environment: Expect a dynamic workspace designed to foster collaboration, with open areas, meeting rooms, and informal gathering spaces.

• Tools & Technology: Access to Google's cutting-edge internal tools, hardware, and software necessary for UX writing, content design, AI experimentation, and product development.

• Team Interaction: Frequent opportunities for informal and formal interactions with designers, researchers, product managers, and engineers, facilitating rapid feedback and iterative development.

Work Schedule: While a standard 40-hour work week is expected, the nature of product development at Google often involves periods of intense work, requiring flexibility and adaptability to meet project deadlines and launch schedules.

📝 Enhancement Note: Working on-site at Google implies immersion in a highly innovative and collaborative environment. The physical workspace is designed to support this, offering ample resources and opportunities for cross-functional interaction.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will review your application and resume, potentially conducting a brief screening call.

• Portfolio Presentation: You will likely be asked to present your portfolio to a panel of hiring managers and senior team members. This is a critical step where you'll showcase your work, explain your process, and demonstrate your impact. Be prepared to discuss your experience with AI, LLMs, and content strategy.

• Technical/Skills Interviews: Expect interviews focused on UX writing fundamentals, content design principles, AI prompting techniques, and your ability to handle complex product challenges. These may include whiteboard exercises or scenario-based questions.

• Cross-functional Interviews: You may interview with Product Managers, Researchers, or Engineers to assess your collaboration style and ability to work effectively in a multidisciplinary team.

• Hiring Committee Review: Final candidates' applications and interview feedback are typically reviewed by a hiring committee to ensure consistency and fairness in decision-making.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your strongest projects that best showcase your skills in UX writing, content design, AI integration, and content strategy. Prioritize projects with clear impact and measurable results.

• Tell a Story: For each project, clearly articulate the problem you were solving, your specific role and contributions, the process you followed (including research, ideation, iteration), the solutions you designed, and the outcomes achieved. Quantify impact whenever possible.

• Highlight AI Experience: Dedicate specific examples or a project to your experience with LLMs, NLP, or Generative AI, detailing your approach to prompting and content generation.

• Demonstrate Process: Show your thinking process – how you approach user problems, iterate on content, collaborate with teams, and use data.

• Be Ready to Discuss: Prepare to answer in-depth questions about your decisions, challenges faced, and how you would approach similar situations.

Challenge Preparation:

• Anticipate AI Content Scenarios: Be ready for hypothetical scenarios involving generating content for AI features, improving AI output quality, or creating guidelines for AI-generated text.

• Practice Prompt Engineering: Think about how you would prompt an AI for specific user needs within the Discover context.

• Prepare for Cross-Functional Collaboration Scenarios: Consider how you would communicate content strategy and rationale to engineers, product managers, and researchers.

• Review Google's Design Principles: Familiarize yourself with Google's broader design philosophy and how content fits into it.

📝 Enhancement Note: The emphasis on a portfolio presentation and the specific mention of AI experience suggest that candidates will be evaluated not just on writing quality but also on their ability to innovate with new AI technologies and to articulate their strategic contributions.

🛠 Tools & Technology Stack

Primary Tools:

• Content Management Systems (CMS): While not explicitly mentioned, familiarity with internal or external CMS platforms for content deployment is beneficial.

• Prototyping Tools: Experience with tools like Figma, Sketch, or Adobe XD for visualizing and collaborating on UX designs where content is integrated.

• Collaboration Platforms: Google Workspace (Docs, Sheets, Slides, Meet) will be essential for daily work and team collaboration.

Analytics & Reporting:

• Product Analytics Tools: Familiarity with tools like Google Analytics, Amplitude, or similar platforms to track user behavior and inform content decisions.

• Data Visualization Tools: Experience with tools that help in presenting data insights, though Google likely has proprietary internal tools.

CRM & Automation:

• Internal Tools: Google relies heavily on proprietary internal tools for development, testing, and project management. Experience with general principles of workflow automation and system integration within a large tech environment is valuable.

• AI/ML Platforms: Exposure to or experience with platforms for natural language processing, machine learning model testing, and AI experimentation will be highly advantageous.

📝 Enhancement Note: While specific external tools are rarely listed for Google roles due to their extensive internal systems, the emphasis on product analytics and AI/ML platforms is critical. The ability to adapt to proprietary tools and understand the principles behind them is key.

👥 Team Culture & Values

Operations Values:

• User Focus: A relentless commitment to understanding and serving the user's needs, ensuring content is helpful, usable, and delightful.

• Data-Driven: Decisions are informed by data, user research, and rigorous experimentation to drive measurable impact.

• Innovation: A culture that encourages experimentation, pushing boundaries, and exploring new technologies like Generative AI to redefine user experiences.

• Collaboration: Strong emphasis on teamwork, open communication, and working effectively across diverse disciplines to achieve shared goals.

• Simplicity & Clarity: A drive to make complex information accessible and easy to understand through clear, concise, and meaningful language.

Collaboration Style:

• Cross-functional Integration: Expect to work closely with product managers, engineers, researchers, and designers, actively participating in their processes and contributing content expertise from the early stages of product development.

• Iterative Feedback: A culture of continuous feedback, where designs and content are regularly reviewed, iterated upon, and refined based on input from peers and stakeholders.

• Knowledge Sharing: Encouragement to share insights, best practices, and learnings across teams, fostering a collective growth environment.

📝 Enhancement Note: Google's core values of user focus, innovation, and collaboration are deeply ingrained. For this role, those values translate into creating content that is not only well-written but also data-informed, innovative (especially with AI), and developed through strong partnerships with other product disciplines.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating AI Complexity: Keeping pace with the rapid advancements in Generative AI and LLMs, and translating these into practical, user-friendly content solutions for a broad audience.

• Balancing Innovation with User Needs: Proving the value and usability of new AI-driven features while ensuring they remain accessible and intuitive for all users.

• Cross-Functional Alignment: Ensuring consistent messaging and user experience across multiple product areas and teams, each with its own priorities and perspectives.

• Defining New Content Paradigms: Establishing best practices and guidelines for content that is dynamically generated or augmented by AI, which is a relatively new field.

Learning & Development Opportunities:

• AI & ML Specialization: Access to Google's vast resources for learning about AI, machine learning, and NLP, including internal courses, workshops, and direct exposure to cutting-edge research.

• Advanced Content Strategy: Opportunities to develop sophisticated content strategies for complex, AI-driven products serving billions of users globally.

• Leadership and Mentorship: Potential to mentor junior team members and take on leadership roles in content strategy and AI content development.

• Industry Exposure: Engaging with industry leaders and researchers in AI and content design through Google's network and potential conference participation.

📝 Enhancement Note: The role presents unique challenges at the forefront of AI and content design, offering significant opportunities for professional growth in a rapidly evolving field.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex product feature you worked on where content was critical to its success. How did you approach the content strategy and ensure user understanding?" (Focus on your process, collaboration, and impact.)

• "How would you approach developing content guidelines for AI-generated text in a product like Google Discover? What are the key considerations for responsible AI content?" (Demonstrate your understanding of AI ethics, user needs, and practical implementation.)

• "Imagine you need to explain a new AI-driven search feature to users who are unfamiliar with AI. What content strategy would you employ, and what text examples would you propose?" (Showcase your ability to simplify complex topics and tailor content to specific user segments.) Company & Culture Questions:

• "How do you see Generative AI changing the role of a UX Writer or Content Designer in the next 3-5 years?" (Align your answer with Google's innovation-driven culture and your role in shaping that future.)

• "Describe a time you had to influence stakeholders (engineers, PMs, executives) to adopt your content recommendations. What was your approach, and what was the outcome?" (Highlight your communication, persuasion, and collaboration skills.)

• "How do you use data and user research to inform your content decisions?" (Emphasize your data-driven approach, aligning with Google's philosophy.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly outline the problem, your role, the solution (content design, AI prompts, guidelines), the process, and the impact (quantified results).

• Highlight AI Contributions: Clearly articulate your specific contributions to projects involving LLMs, NLP, or Generative AI. Detail the prompts you used, the iterations you made, and how you evaluated the output.

• Showcase Collaboration: Explain how you worked with engineers, researchers, and product managers on your projects.

• Be Prepared for Deep Dives: Anticipate detailed questions about your design choices, your understanding of AI capabilities and limitations, and your problem-solving approach.

• Practice Your Delivery: Rehearse your presentation to ensure it flows logically, stays within the allotted time, and effectively communicates your value.

📝 Enhancement Note: Interview preparation for this role should heavily emphasize AI experience, strategic thinking, and the ability to articulate complex processes and outcomes clearly. The portfolio presentation is likely the most critical component.

📌 Application Steps

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

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

• Customize Your Resume: Tailor your resume to highlight your experience with UX writing, content design, AI, LLMs, Generative AI, and content strategy. Use keywords from the job description and quantify your achievements wherever possible.

• Prepare Your Portfolio: Ensure your portfolio is up-to-date, showcases relevant projects (especially those involving AI), and is easily accessible via a provided link. Prepare a concise narrative for each project.

• Practice Your Presentation: Rehearse your portfolio walkthrough with a focus on clarity, impact, and demonstrating your strategic thinking and AI expertise. Practice answering common UX writing and AI-related interview questions.

• Research Google's AI Initiatives: Familiarize yourself with Google's latest advancements and philosophies regarding AI, Generative AI, and their application in products like Search and Discover. Understand their commitment to responsible AI.

⚠️ 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.

---