{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/title/user-experience-researcher"},"x-facet":{"type":"title","slug":"user-experience-researcher","display":"User Experience Researcher","count":1},"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_6a25cfaf-1cc"},"title":"User Experience Researcher","description":"<p><strong>About this role</strong></p>\n<p>This is a senior individual-contributor role. You&#39;ll own research for a complex, fast-moving product area where the surface is expanding quickly and the most important user questions haven&#39;t been articulated yet, let alone answered.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Set the research agenda for a product area where the strategic questions are still fuzzy. Define what we need to learn, in what order, and why,then go learn it. Don&#39;t wait to be asked</li>\n<li>Design and run mixed-methods research at whatever fidelity the moment calls for. Some of it will be careful, foundational work the team references for a year. Some of it will be a finding you ship the same day the question came up</li>\n<li>Keep product teams close to users in a rigorous way,building the channels, cadence, and evidence base that make user reality hard to ignore</li>\n<li>Get hands-on with product data. Pull your own samples, build your own dashboards, instrument what&#39;s missing</li>\n<li>Prototype when prototyping is the fastest path to an answer,a research tool, a survey pipeline, a scrappy version of a feature to put in front of users</li>\n<li>Deeply leverage AI in how you work,using Claude to make yourself dramatically more efficient at analysis, synthesis, tooling, and everything in between</li>\n<li>Use what you study. Dogfood our products hard enough to develop your own informed opinions, and bring that texture into your research</li>\n<li>Anticipate where the product is heading before anyone asks. Show up with the user understanding the team is about to need</li>\n<li>Turn what you learn into recommendations confident enough to redirect a roadmap,including recommending we kill something that isn&#39;t working</li>\n<li>Build durable understanding, not just findings. The goal is that PMs, designers, and engineers internalize the user mental model well enough to make good calls when you&#39;re not in the room</li>\n<li>Develop new research methods when the existing playbook doesn&#39;t fit,particularly methods that use AI to do things that weren&#39;t possible before</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Industry UX research experience, including ownership of research strategy for a product or product area</li>\n<li>Track record of research that shifted product direction at the strategy level, not just the feature level</li>\n<li>Deep mixed-methods expertise,qualitative and quantitative</li>\n<li>Enough data fluency to use Claude to work directly with our data warehouse,pulling your own samples, writing your own queries, running your own analyses</li>\n<li>Demonstrated technical range: you&#39;ve built research tooling, prototyped, scripted analyses, or otherwise shown you can keep up with very technical teams without translation overhead</li>\n<li>Advanced, hands-on use of AI in your own research workflow,you&#39;re already taking full advantage of its capabilities to enhance how you work</li>\n<li>Experience embedding with engineering-led product teams that ship fast, and earning influence in that environment</li>\n<li>Excellent storytelling, calibrated to audience. You can discuss a finding with an exec as effectively as with an engineer</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.</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_6a25cfaf-1cc","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/5174556008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$305,000-$385,000 USD per year","x-skills-required":["Industry UX research experience","Ownership of research strategy for a product or product area","Track record of research that shifted product direction at the strategy level","Deep mixed-methods expertise—qualitative and quantitative","Enough data fluency to use Claude to work directly with our data warehouse"],"x-skills-preferred":["Advanced, hands-on use of AI in your own research workflow","Experience embedding with engineering-led product teams that ship fast","Excellent storytelling, calibrated to audience"],"datePosted":"2026-05-05T16:10:11.460Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Industry UX research experience, Ownership of research strategy for a product or product area, Track record of research that shifted product direction at the strategy level, Deep mixed-methods expertise—qualitative and quantitative, Enough data fluency to use Claude to work directly with our data warehouse, Advanced, hands-on use of AI in your own research workflow, Experience embedding with engineering-led product teams that ship fast, Excellent storytelling, calibrated to audience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":305000,"maxValue":385000,"unitText":"YEAR"}}}]}