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Job Details
Posted date: Aug 13, 2026
Location: Seattle, WA
Level: Director
Description
Drive the development of innovative UX writing and content design solutions to complex user, product, and business problems. Establish a cohesive design strategy for advertising within Generative AI. Look past immediate constraints to paint a compelling future for how commercial information integrates seamlessly into conversational and multimodal user journeys. Act as a trusted thought partner to executive leadership across Engineering and Product to drive alignment on content quality. Navigate matrixed organizations to drive consensus, advocating the user perspective. Partner with engineering to establish the baseline goals and AI modeling. Look past static constraints to build the core logic that dictates how commercial information integrates into conversational paths defining content design frameworks including principles, patterns, goldens, and systems.As a UX writer, you are an advocate for Google design, shaping product experiences by creating useful, meaningful text that helps users complete tasks. You help set the vision for content and drive cohesive product narratives across multiple platforms and touch points. As a stellar writer, your portfolio of work demonstrates content that simplifies and beautifies the overall user experience. You work with people in a variety of UX design-related jobs including researchers, product managers, engineers, marketing and customer operations. Collaborating with each, you strive to establish cohesive language and a unified voice across products and platforms. You regularly use empathy, logic and data to inform content choices and recommendations that include the right words and sometimes complementary data and images.
As a Staff Model Designer, you will lead our UX model strategy for the future of business generation within Google’s AI-powered Search experiences.
As Google Search evolves into a generative AI experience (AI Overviews, AI Mode), the way users interact with commercial information is fundamentally changing. In this role, you will lead the 0-to-1 design of native, helpful, and integrated ad experiences that feel seamlessly integrated with this new paradigm. You will own outcomes for complex problem spaces with content generation and ads quality systems to enable beautiful, effective ad experiences.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $171000 - $247000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Qualifications
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in UX writing, content design, technical writing, writing, editorial, marketing, or related, as well as leading content strategy projects. Experience with AI-generated content practices and managing content strategy projects, including writing system instructions, running incremental prompt experiments, writing golden sets, defining evaluation rubrics and rater guidelines, and model fine-tuning. Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions).Preferred qualifications: 8 years of writing, editorial, marketing, or UX writing experience in an agency setting. 7 years of experience interacting with executive leadership.
5 years of experience working in a complex, cross-functional technology organization. Experience constructing prompts for training Large Language Models (LLMs) and supporting evaluations for AI-driven products.