{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/platform-readiness"},"x-facet":{"type":"skill","slug":"platform-readiness","display":"Platform Readiness","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_e355080b-896"},"title":"Engineering Manager, Vertical AI Products (Multiple Roles)","description":"<p>About the role Anthropic&#39;s Verticals team builds AI products purpose-built for specific industries,financial services, life sciences, healthcare, and legal. Most of these teams are being built 0→1 right now: you&#39;ll be forming the team, defining the product, and shipping the first version in markets where no one has done this well yet. Where we&#39;re further along, products are already live with enterprise customers and growing fast.</p>\n<p>We&#39;re hiring Engineering Managers to lead the teams building Claude for Financial Services, Life Sciences, Healthcare, and Legal. You&#39;ll lead a team shipping AI into professional workflows,owning execution, working directly with customers and go-to-market, and helping shape where the broader Verticals group goes next.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Lead and develop a team of engineers building new AI products for enterprise customers in your vertical</li>\n<li>Work closely with research to make the models better in your domain,shaping evals, surfacing failure modes, and feeding customer learnings back into model development</li>\n<li>Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response</li>\n<li>Partner with sales and customer success on enterprise deals,understanding requirements, joining key conversations, and turning what you learn into engineering priorities</li>\n<li>Shape the roadmap with product and design, not just execute against it</li>\n<li>Drive the compliance and platform-readiness work your customers require, partnering with security and legal</li>\n<li>Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team</li>\n</ul>\n<p>You may be a good fit if you</p>\n<ul>\n<li>Have built AI products and have a practical understanding of what it takes to turn model capabilities into applications people actually use</li>\n<li>Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations</li>\n<li>Know the operational realities of building on platforms and integrations you don&#39;t control</li>\n<li>Are a skilled engineering manager who treats management as a craft,clear feedback, strong 1:1s, consistent investment in your team&#39;s growth</li>\n</ul>\n<p>Strong candidates may also have</p>\n<ul>\n<li>Experience in working with research to improve domain specific model capabilities</li>\n<li>Experience with model evaluation frameworks and how evals inform product decisions</li>\n<li>Experience taking a product from 0→1,forming a team, finding product-market fit, and shipping the first version with limited precedent to lean on</li>\n<li>Deep domain knowledge in one of these verticals,investment banking, asset management, insurance, or corporate finance; drug discovery or computational biology; clinical operations, health systems, or payers; or legal practice or legal tech</li>\n<li>Direct experience with the compliance frameworks relevant to these industries, including owning that work within an engineering org</li>\n<li>Exposure to both product-led growth and direct enterprise sales, and an understanding of how engineering decisions interact with each</li>\n</ul>\n<p>Representative projects</p>\n<ul>\n<li>Partnering with an enterprise customer to map a core workflow,a deal-documentation process, a target-identification pipeline, a prior-authorization queue,and turning it into an engineering roadmap with a new or existing AI product</li>\n<li>Collaborating with research to design an evaluation framework that gives reliable signal on output quality across your domain&#39;s use cases</li>\n<li>Owning a platform-readiness initiative end-to-end,scoping with legal and security, defining the engineering work, and shipping it</li>\n</ul>\n<p>Logistics</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n<li>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.</li>\n<li>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.</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_e355080b-896","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.co/","logo":"https://logos.yubhub.co/anthropic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5140492008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$320,000-$485,000 USD","x-skills-required":["AI","Machine Learning","Engineering Management","Team Leadership","Communication","Problem-Solving","Collaboration","Product Development","Research","Model Evaluation"],"x-skills-preferred":["Domain Specific Model Capabilities","Model Evaluation Frameworks","Product-Market Fit","Compliance Frameworks","Platform Readiness"],"datePosted":"2026-04-18T15:38:06.571Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City, NY; San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Engineering Management, Team Leadership, Communication, Problem-Solving, Collaboration, Product Development, Research, Model Evaluation, Domain Specific Model Capabilities, Model Evaluation Frameworks, Product-Market Fit, Compliance Frameworks, Platform Readiness","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":485000,"unitText":"YEAR"}}}]}