{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/conversation-design"},"x-facet":{"type":"skill","slug":"conversation-design","display":"Conversation Design","count":6},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_87f455b9-4bf"},"title":"QA Lead, AI Agent","description":"<p>Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it&#39;s at Cresta.</p>\n<p>At Cresta, shipping AI is only half the story. Ensuring that AI interacts with humans reliably, accurately, and empathetically at scale is where the real challenge lies. As the QA Lead, AI Agent, you will be the ultimate guardian of the customer experience for our AI Agent product line. This role is perfect for a strategic quality expert who loves the intersection of human psychology and machine logic.</p>\n<p>You will own the end-to-end quality strategy, from designing complex test plans for non-deterministic LLMs to building automated and scalable testing environments using Cresta&#39;s proprietary no-code test and evaluation tools. You aren&#39;t just looking for bugs; you are building the framework that allows Cresta to deploy world-class AI agents for the world&#39;s largest enterprises with total confidence.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Architect &amp; Scale AI Evaluation Systems: Design and oversee the end-to-end framework for testing AI agent systems at scale. You will leverage LLM-driven methodologies,including automated simulations, &quot;LLM-on-LLM&quot; rubrics, and adversarial red-teaming,to ensure reliability, policy adherence, and logic across complex, multi-turn conversational flows.</li>\n</ul>\n<ul>\n<li>Drive Deployment Excellence: Partner with Forward Deployed Engineers and PMs to triage issues, identify bottlenecks, and create new test cases on the fly to address real-world deployment challenges.</li>\n</ul>\n<ul>\n<li>Be the Customer’s Voice: Conduct manual UAT and voice-call testing to represent the end-customer experience. You take it personally when an agent lacks empathy or clarity, and you excel at articulating these nuances to the engineering team and clients.</li>\n</ul>\n<ul>\n<li>Lead and Scale the Team: lead a pod of QA analysts and partners. You will define the best practices, communication loops, and shared knowledge base that allow the QA function to scale alongside our rapidly growing product line.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of experience in Quality Engineering, Deployments, or Technical QA, ideally within an AI or high-growth SaaS environment.</li>\n</ul>\n<ul>\n<li>Systems Thinking: A strong technical intuition and curiosity about how LLMs work. While you don&#39;t need to code, you must be comfortable navigating technical concepts like LLM, RAG, prompt logic, and multi-turn conversational flows.</li>\n</ul>\n<ul>\n<li>Operational Leadership: Proven ability to large E2E technical projects through partners, and a passion for building processes that improve efficiency between QA, Engineering, and Product.</li>\n</ul>\n<ul>\n<li>The &quot;QA Nose&quot;: An uncanny ability to find the edge case and a bias toward action. You anticipate bottlenecks before they happen and deliver solutions with urgency.</li>\n</ul>\n<ul>\n<li>High Empathy: A consultative mindset with the ability to represent the &quot;human element&quot; of a customer support interaction.</li>\n</ul>\n<ul>\n<li>Startup Agility: You thrive in fast-paced environments, excel at turning ambiguity into execution, and are comfortable &quot;rolling up your sleeves&quot; to build.</li>\n</ul>\n<p><strong>Bonus Points</strong></p>\n<ul>\n<li>Experience with CCaaS (Contact Center as a Service), telephony, or STT/TTS (Speech-to-Text) technologies.</li>\n</ul>\n<ul>\n<li>Background in Conversation Design or SDET roles.</li>\n</ul>\n<ul>\n<li>Experience leading team with direct reports.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_87f455b9-4bf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cresta","sameAs":"https://www.cresta.ai/","logo":"https://logos.yubhub.co/cresta.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/cresta/jobs/5148813008","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Quality Engineering","Deployments","Technical QA","AI","SaaS","LLMs","RAG","Prompt Logic","Multi-Turn Conversational Flows"],"x-skills-preferred":["CCaaS","Telephony","STT/TTS","Conversation Design","SDET"],"datePosted":"2026-04-18T15:55:59.640Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States (Remote)"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Quality Engineering, Deployments, Technical QA, AI, SaaS, LLMs, RAG, Prompt Logic, Multi-Turn Conversational Flows, CCaaS, Telephony, STT/TTS, Conversation Design, SDET"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6c4f32f4-d46"},"title":"Support Operations Specialist, AI Agent Management","description":"<p><strong>About the role</strong></p>\n<p>The Support Operations team at Anthropic is dedicated to optimising and scaling the Product Support function to deliver exceptional user experiences. As a Support Operations Specialist focusing on AI Agent Management, you will sit within our AI Support function and be instrumental in building and improving the capabilities of Fin, our AI support agent.</p>\n<p>This role sits at the intersection of conversation design and support automation. You&#39;ll shape how our AI agent communicates,its tone, structure, handoff logic, and interaction flow,while also building the backend scaffolding that enables it to take real action on behalf of users.</p>\n<p>The goal isn&#39;t just an AI that answers questions; it&#39;s an AI that resolves issues end-to-end: processing refunds, managing subscriptions, verifying account details, and routing complex cases to the right humans at the right time.</p>\n<p>Working as part of our AI Support function, you&#39;ll execute on the Fin optimisation roadmap,configuring AI behaviours, building integrations that expand what Fin can do, designing conversation flows that create a seamless customer experience, and maintaining the automated workflows that power our support operation.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and optimise conversation flows, triage logic, and handoff behaviours that create seamless transitions between AI and human support across different customer segments</li>\n<li>Configure and maintain Fin&#39;s Guidance rules and Attributes to improve AI response quality, tone, and inbound categorisation</li>\n<li>Build and maintain integrations between Fin and external systems (Stripe, status page, etc.) that enable the AI agent to take action on behalf of users,processing refunds, fetching subscription details, surfacing incident status, and more</li>\n<li>Design, implement, and troubleshoot automated workflows for refunds, subscription management, and other transactional support actions, including guardrails, validation logic, and exception handling to ensure safe and reliable execution</li>\n<li>Own Fin over email setup and maintenance, ensuring consistent AI support quality across channels</li>\n<li>Contribute to AI support effectiveness monitoring by tracking resolution rates, automation rates, CSAT, and escalation patterns to identify improvement opportunities</li>\n<li>Provide input on the Fin optimisation roadmap based on hands-on experience with configuration, capability gaps, and conversation analysis</li>\n<li>Partner with the AI Support Systems team on technical dependencies where Fin capabilities intersect with help desk infrastructure</li>\n</ul>\n<p><strong>You might be a good fit if you:</strong></p>\n<ul>\n<li>Have 3+ years of experience in support operations, support engineering, chatbot/AI agent configuration, or similar roles in a technology company</li>\n<li>Have hands-on experience configuring AI agents, chatbots, or automation tools,ideally within Intercom, Zendesk, or similar platforms</li>\n<li>Think in terms of conversation design: you naturally consider how tone, structure, and flow shape the customer experience, not just whether the right answer gets delivered</li>\n<li>Are technically comfortable working with integrations, APIs, and workflow builders without needing engineering support for every change</li>\n<li>Understand that enabling an AI agent to take action requires careful attention to guardrails, edge cases, and safe execution paths,not just connecting systems</li>\n<li>Demonstrate a data-driven approach, using metrics like automation rates, resolution rates, and CSAT to evaluate whether capabilities are working and where to iterate</li>\n<li>Can manage multiple in-flight projects simultaneously, balancing new capability builds with maintenance of existing workflows</li>\n<li>Are detail-oriented and quality-focused,you test thoroughly before shipping and monitor closely after</li>\n<li>Communicate clearly with both technical and non-technical stakeholders</li>\n<li>Thrive in a fast-paced environment where the product and support landscape evolve rapidly</li>\n<li>Are genuinely excited about AI and see the potential for AI agents to transform customer support from reactive ticket resolution into proactive, end-to-end problem solving</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Experience specifically with Intercom&#39;s Fin AI agent or similar AI support tools</li>\n<li>A background in conversation design, UX writing, or content design for conversational interfaces</li>\n<li>Experience building or managing automated workflows that handle transactional actions (refunds, subscription changes, account modifications)</li>\n<li>Familiarity with support metrics frameworks (automation rates, deflection, CSAT) and how operational decisions connect to business outcomes</li>\n<li>Experience working with Stripe integrations or payment/subscription systems</li>\n<li>Background in support engineering or technical support operations</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic, we&#39;re building a team of talented researchers, engineers, and policymakers who share our vision for a future where AI is developed and used responsibly.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6c4f32f4-d46","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5122119008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$131,040-$165,000 USD","x-skills-required":["AI Agent Management","Conversation Design","Support Automation","Intercom","Zendesk","APIs","Workflow Builders","Data-Driven Approach","Metrics Analysis","Automation Rates","Resolution Rates","CSAT","Guardrails","Edge Cases","Safe Execution Paths"],"x-skills-preferred":["Intercom's Fin AI Agent","UX Writing","Content Design","Automated Workflows","Stripe Integrations","Payment/Subscription Systems","Support Engineering","Technical Support Operations"],"datePosted":"2026-04-18T15:55:16.628Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI Agent Management, Conversation Design, Support Automation, Intercom, Zendesk, APIs, Workflow Builders, Data-Driven Approach, Metrics Analysis, Automation Rates, Resolution Rates, CSAT, Guardrails, Edge Cases, Safe Execution Paths, Intercom's Fin AI Agent, UX Writing, Content Design, Automated Workflows, Stripe Integrations, Payment/Subscription Systems, Support Engineering, Technical Support Operations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":131040,"maxValue":165000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3c13f93e-7f3"},"title":"Forward Deployed Product Manager, AI Agent","description":"<p>Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it&#39;s at Cresta.</p>\n<p>As a Forward Deployed Product Manager, AI Agent, you will create, deploy and optimize AI Agents that transform our customers&#39; businesses and delight their customers. This highly cross-functional and customer-facing role blends product thinking, a nose for value, and project leadership with senior customer executives.</p>\n<p>At the end of the day, you own each AI Agent and the outcomes they drive for our customers, and you take that personally. You are a creative, pragmatic problem solver who thrives in fast-paced environments, rolls up your sleeves to build, and excels at turning ambiguity into execution.</p>\n<p>In this role, you’ll partner with Forward Deployed Engineers (FDEs) who will support the build, integrations and optimization to make the AI Agent product successful. You’ll also work closely with product and engineering, providing a tight feedback loop and custom tooling that will shape the future of our platform.</p>\n<p>What You’ll Do:</p>\n<ul>\n<li>Own AI Agent outcomes for our customers , defining and delivering on the metrics that move the needle. This includes finding additional automation opportunities that can provide even more value!</li>\n</ul>\n<ul>\n<li>Own the deployment lifecycle for AI Agents , from pre-sale scoping and kickoff to launch and post-go-live optimization</li>\n</ul>\n<ul>\n<li>Design, build, test and iterate on AI agents in partnership with FDEs using Cresta’s internal tools and the latest technologies to deliver the highest customer ROI</li>\n</ul>\n<ul>\n<li>Lead customer relationships and act as the primary point of contact for AI Agent. Help prospects and customers move faster to ensure we can deliver quickly and effectively.</li>\n</ul>\n<ul>\n<li>Facilitate workshops and design sessions with customer stakeholders to align on agent use cases, workflows, and success criteria while gathering feedback to improve the AI agent platform</li>\n</ul>\n<ul>\n<li>Work closely with FDEs to ensure smooth implementation, build new capabilities as needed and provide feedback and improvements to our broader platform</li>\n</ul>\n<ul>\n<li>Improve our playbooks for agent development and customer deployment</li>\n</ul>\n<p>What We’re Looking For:</p>\n<ul>\n<li>5+ years of experience in Technology Consulting, Implementations, Product, or Customer Success roles, ideally working closely with AI or LLM first products</li>\n</ul>\n<ul>\n<li>Hands-on work style – curiosity with a bias for action. You anticipate needs and bottlenecks and deliver with urgency and care.</li>\n</ul>\n<ul>\n<li>Experience leading complex deployments, owning customer relationships (including senior customer stakeholders), and working cross-functionally</li>\n</ul>\n<ul>\n<li>Strong technical understanding, systems thinking and exposure to building Agents (not necessarily conversational, personal projects count!)</li>\n</ul>\n<ul>\n<li>Comfortable working with ambiguity and learning quickly in a dynamic startup environment</li>\n</ul>\n<ul>\n<li>Passion for AI, automation, and shaping the future of customer experience</li>\n</ul>\n<p>Bonus Points:</p>\n<ul>\n<li>Background in product management, conversation design or forward deployed engineering roles</li>\n</ul>\n<ul>\n<li>Experience in a startup or high-growth SaaS environment</li>\n</ul>\n<ul>\n<li>Familiarity with customer support and contact center operations</li>\n</ul>\n<p>Perks &amp; Benefits:</p>\n<p>We offer a comprehensive and people-first benefits package to support you at work and in life:</p>\n<ul>\n<li>Comprehensive medical, dental, and vision coverage with plans to fit you and your family</li>\n</ul>\n<ul>\n<li>Flexible PTO to take the time you need, when you need it</li>\n</ul>\n<ul>\n<li>Paid parental leave for all new parents welcoming a new child</li>\n</ul>\n<ul>\n<li>Retirement savings plan to help you plan for the future</li>\n</ul>\n<ul>\n<li>Remote work setup budget to help you create a productive home office</li>\n</ul>\n<ul>\n<li>Monthly wellness and communication stipend to keep you connected and balanced</li>\n</ul>\n<ul>\n<li>In-office meal program and commuter benefits provided for onsite employees</li>\n</ul>\n<p>Compensation at Cresta</p>\n<p>Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.</p>\n<p>OTE Range: $170,000–$280,000 + Offers Equity</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3c13f93e-7f3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cresta","sameAs":"https://www.cresta.ai/","logo":"https://logos.yubhub.co/cresta.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/cresta/jobs/4738837008","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$170,000–$280,000","x-skills-required":["AI","Machine Learning","Product Management","Customer Success","Technical Understanding","Systems Thinking","Agent Development","Customer Deployment"],"x-skills-preferred":["Conversation Design","Forward Deployed Engineering","Customer Support","Contact Center Operations"],"datePosted":"2026-04-18T15:53:51.603Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States, Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Product Management, Customer Success, Technical Understanding, Systems Thinking, Agent Development, Customer Deployment, Conversation Design, Forward Deployed Engineering, Customer Support, Contact Center Operations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":280000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_70a8d742-39f"},"title":"Staff Model UX Designer, Personalization, GeminiApp","description":"<p><strong>Snapshot</strong></p>\n<p>We&#39;re hiring a Staff Model UX Designer to play a critical role in our Personalization initiatives. You&#39;ll be responsible for developing and implementing content and model behavior standards, architecting scalable frameworks and processes.</p>\n<p><strong>The Role</strong></p>\n<p>As a Model UX Designer on Personalization, you&#39;ll be responsible for crafting novel and intuitive experiences that leverage Gemini&#39;s model output to help users easily discover new features and deepen their engagement with our product.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Set the quality bar by creating principles, response strategies, and examples that define what good looks like.</li>\n<li>Drive continuous model improvement by diagnosing quality gaps and developing scalable, strategic frameworks,including guidelines, technical instructions, and cross-functional alignment,needed to scale response excellence.</li>\n<li>Partner closely with cross-functional teams, including engineers, product managers, researchers, and data scientists to shape the behavior of LLM models in support of growth strategies.</li>\n<li>Understand users and advocate for a user-centered approach to model output, ensuring that the content the model generates meets the needs and expectations of our users.</li>\n<li>Deeply understand model training methods and processes, and stay up-to-date on the latest advancements in generative AI.</li>\n</ul>\n<p><strong>About You</strong></p>\n<p>We&#39;re looking for a systems thinker with strong skills in content strategy, conversation design, and problem-solving, anchored by a passion for the craft of writing.</p>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Demonstrated Strategic Impact &amp; Leadership: Experience shaping content for strategic initiatives in relevant areas, such as hardware, software, digital agencies, creative industries, or journalism.</li>\n<li>Mastery of Writing Craft &amp; Execution: A portfolio of work demonstrating intuitive, systems-aware content solutions with exceptional craft and strong rigor.</li>\n<li>Adaptability: Thrives in complexity, continuously learning and adapting with a growth mindset.</li>\n<li>Fluency in AI product design process: Experience training and tuning large language models or other generative AI technologies.</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The US base salary range for this full-time position is between $165,000 USD - $245,000 USD + bonus + equity + benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_70a8d742-39f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7793421","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$165,000 USD - $245,000 USD + bonus + equity + benefits","x-skills-required":["content strategy","conversation design","problem-solving","writing","AI product design process","large language models","generative AI technologies"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:48:16.779Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US; New York City, New York, US; Seattle, Washington, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"content strategy, conversation design, problem-solving, writing, AI product design process, large language models, generative AI technologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":245000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4ed8cdde-7fa"},"title":"Staff Model UX Content Designer, Gemini App","description":"<p>We&#39;re hiring an experienced Staff Model UX Designer to play a critical role in ensuring the quality and effectiveness of content generated by Gemini. As a Model UX Designer focused on the quality of the Gemini model&#39;s output, you&#39;ll build new capabilities for users and help them get the best out of the product.</p>\n<p>You&#39;ll partner with Product, Engineering, and Policy to shape the behavior and responses of LLM models, utilizing mastery of the art and structure of language to create principles, response strategies, and examples for the content quality of Gemini models. You&#39;ll define and establish comprehensive content standards and specifications for Gemini models, addressing factors like factual accuracy, privacy, safety, personality, tone, and style.</p>\n<p>Key responsibilities include diagnosing content quality issues, developing strategies and alignment for implementation and hillclimbing across product areas, and creating scalable solutions to UX and process challenges across teams. You&#39;ll also advocate for a user-centered approach to model output, ensuring that the content the model generates meets the needs and expectations of our users.</p>\n<p>To set you up for success as a Model UX Designer at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>5+ years of experience on user-focused writing, including work in hardware, software, digital agencies, creative industries, journalism, or other relevant areas</li>\n<li>Experience in shaping content for multi-disciplinary projects</li>\n<li>A portfolio of content strategies and longer-form writing samples</li>\n</ul>\n<p>In addition, the following would be an advantage:</p>\n<ul>\n<li>Experience training and tuning large language models or other generative AI technologies</li>\n<li>Experience being a driver in a fast-paced, startup environment</li>\n<li>Experience working on multi-modal platforms, like voice-driven experiences or AR/VR</li>\n<li>Experience gathering and working with data to identify loss patterns and create actionable insights</li>\n<li>Experience developing AI-driven prototypes</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4ed8cdde-7fa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7649725","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["content strategy","conversation design","problem-solving","writing","editing","UX","HCI","LLMs","generative AI"],"x-skills-preferred":["training and tuning large language models","fast-paced startup environment","multi-modal platforms","data analysis","AI-driven prototypes"],"datePosted":"2026-04-18T15:41:22.142Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"content strategy, conversation design, problem-solving, writing, editing, UX, HCI, LLMs, generative AI, training and tuning large language models, fast-paced startup environment, multi-modal platforms, data analysis, AI-driven prototypes"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4114e8e4-85a"},"title":"Staff Model UX Designer, Personalization, GeminiApp","description":"<p><strong>Snapshot</strong></p>\n<p>We&#39;re hiring a Staff Model UX Designer to play a critical role in our Personalization initiatives. You&#39;ll be responsible for developing and implementing content and model behavior standards, architecting scalable frameworks and processes.</p>\n<p><strong>Responsibilities</strong></p>\n<p>Set the quality bar by creating principles, response strategies, and examples that define what good looks like. Establish comprehensive content standards and specifications for Gemini models, addressing factors like factual accuracy, privacy, safety, personality, tone, and style.</p>\n<p>Drive continuous model improvement by diagnosing quality gaps and developing scalable, strategic frameworks,including guidelines, technical instructions, and cross-functional alignment,needed to scale response excellence.</p>\n<p>Partner closely with cross-functional teams, including engineers, product managers, researchers, and data scientists to shape the behavior of LLM models in support of growth strategies.</p>\n<p>Understand users and advocate for a user-centered approach to model output, ensuring that the content the model generates meets the needs and expectations of our users.</p>\n<p>Deeply understand model training methods and processes, and stay up-to-date on the latest advancements in generative AI.</p>\n<p><strong>About You</strong></p>\n<p>We’re looking for a systems thinker with strong skills in content strategy, conversation design, and problem-solving, anchored by a passion for the craft of writing. You’ll have experience developing guidelines, exemplary content, evaluations, and rubrics for LLMs, as well as writing and editing in a fast-paced, agile environment.</p>\n<p>Leveraging complex cross-functional partnerships, you’ll work with product, engineering, research, and data science to articulate and guide product strategy.</p>\n<p>To set you up for success as a UX Content Designer at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>Demonstrated Strategic Impact &amp; Leadership: Experience shaping content for strategic initiatives in relevant areas, such as hardware, software, digital agencies, creative industries, or journalism.</li>\n</ul>\n<ul>\n<li>Mastery of Writing Craft &amp; Execution: A portfolio of work demonstrating intuitive, systems-aware content solutions with exceptional craft and strong rigor. Recognized as a &quot;go-to&quot; expert, sharing knowledge and elevating team skill.</li>\n</ul>\n<ul>\n<li>Adaptability: Thrives in complexity, continuously learning and adapting with a growth mindset. Evolves strategies and processes as needed.</li>\n</ul>\n<ul>\n<li>Fluency in AI product design process: Experience training and tuning large language models or other generative AI technologies. Experience gathering and working with data to identify loss patterns and create actionable insights</li>\n</ul>\n<p>In addition, the following would be an advantage:</p>\n<ul>\n<li>Growth and discovery expertise: experience in driving successful growth and discovery initiatives for digital products.</li>\n</ul>\n<ul>\n<li>AI Prototyping: ability to build functioning prototypes to demonstrate ideas and drive cross-functional alignment.</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The US base salary range for this full-time position is between $165,000 USD - $245,000 USD + bonus + equity + benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4114e8e4-85a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7793421","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$165,000 USD - $245,000 USD + bonus + equity + benefits","x-skills-required":["Content strategy","Conversation design","Problem-solving","Writing and editing","Large language models","Generative AI","Data analysis","Cross-functional collaboration"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:38:29.098Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US; New York City, New York, US; Seattle, Washington, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Content strategy, Conversation design, Problem-solving, Writing and editing, Large language models, Generative AI, Data analysis, Cross-functional collaboration","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":245000,"unitText":"YEAR"}}}]}