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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_72d14986-43f"},"title":"Manager of Forward Deployed Engineering, Applied AI","description":"<p>Job Title: Manager of Forward Deployed Engineering, Applied AI</p>\n<p>About the Role: The Claude Agentic Solutions team is Anthropic&#39;s forward-deployed engine , embedding directly with Fortune 500 enterprises to architect, build, and deploy production AI agents that transform how they work. We partner with companies that have decided AI is a strategic priority and need Anthropic alongside them to make it real.</p>\n<p>You will own how Anthropic Solutions shows up in your industry segment , from the quality of individual engagements to the strategy that defines which problems we solve and for whom. This is fundamentally a technical leadership role: you set the bar for delivery, develop your team&#39;s vertical expertise, and ensure every engagement produces outcomes worth repeating.</p>\n<p>Responsibilities:</p>\n<p>Tech Leadership</p>\n<ul>\n<li>Lead and grow a team of Forward Deployed Engineers and embedded within your vertical.</li>\n<li>Provide active delivery oversight , review SOWs before signature, participate in architecture decisions on complex engagements, and serve as the escalation layer when delivery is at risk.</li>\n<li>Develop your team&#39;s vertical fluency: help FDEs understand the regulatory environment, data constraints, and stakeholder dynamics specific to your industry.</li>\n<li>Hire for your team: define role requirements, evaluate candidates, and make judgment calls on who will succeed in this specific context.</li>\n<li>Serve as the senior Anthropic presence in strategic customer conversations, including C-suite and board-level engagements where enterprise AI direction is being set.</li>\n<li>Run operating cadences , monthly engagement reviews, knowledge-sharing sessions, and escalation support for active engagements , while participating in or running client steering committees and unblocking delivery when at risk.</li>\n</ul>\n<p>Use Case Library &amp; Reusable Patterns</p>\n<ul>\n<li>Ensure the vertical use case library and reusable asset repository are maintained, prioritized, and mapped to business impact and implementation complexity.</li>\n<li>Systematically surface learnings from delivery back to product and research teams, identifying where customer environments reveal model limitations, platform gaps, or roadmap opportunities.</li>\n<li>Track emerging AI capabilities and assess their relevance for your vertical; bring forward new use case opportunities before clients ask for them.</li>\n<li>Partner with product teams to ensure delivery insights translate into platform improvements and roadmap decisions.</li>\n</ul>\n<p>Commercial Leadership</p>\n<ul>\n<li>Partner with Marketing and Sales to develop vertical-specific GTM materials, reference cases, and positioning that reflect what actually wins in your industry.</li>\n<li>Own the qualified pipeline for your vertical , working with Sales and Account Executives to identify, shape, and progress enterprise AI opportunities from first conversation to signed SOW.</li>\n<li>Define how Anthropic goes to market with the Solutions offering in your vertical , including engagement structures, and partnership dynamics.</li>\n<li>Represent your vertical internally , bring the voice of your segment into product, and go-to-market discussions at the leadership level.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>8+ years of experience spanning enterprise AI/ML delivery, management consulting (Big 3 / Big 4), or enterprise tech professional services , with at least 3 years in a senior leadership capacity owning commercial outcomes.</li>\n<li>Comfort operating in ambiguity and building processes where none exists , you&#39;ve worked in early-stage, founder, or 0-to-1 environments, and can establish practices from scratch rather than executing within well-defined frameworks.</li>\n<li>Deep domain expertise in your vertical: you should be able to speak credibly with a CEO, CIO, and other executive SMEs.</li>\n<li>A track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed engineers working at client sites.</li>\n<li>Demonstrated ability to carry pipeline and close complex enterprise deals , you understand procurement, know how to navigate large organizations, and can move opportunities forward.</li>\n<li>Strong technical fluency to review SOW scope, participate in architecture discussions, evaluate trade-offs, and judge whether a proposed approach is realistic , without being the one writing the code.</li>\n<li>Experience navigating regulated industry environments.</li>\n<li>Executive presence and communication skills: you can present to a board or run a difficult conversation.</li>\n</ul>\n<p>Annual Compensation Range:</p>\n<p>£255,000-£325,000 GBP</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_72d14986-43f","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/5183983008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£255,000-£325,000 GBP","x-skills-required":["Enterprise AI/ML delivery","Management consulting","Enterprise tech professional services","Technical leadership","Team management","Client relationship management","Business development","Sales","Marketing","Product management","Research and development","Data analysis","Problem-solving","Communication","Leadership"],"x-skills-preferred":["Cloud computing","Artificial intelligence","Machine learning","Statistical modeling","Data visualization","Business process improvement","Change management","Project management","Agile methodologies","Scrum","Kanban"],"datePosted":"2026-04-18T15:57:00.204Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Enterprise AI/ML delivery, Management consulting, Enterprise tech professional services, Technical leadership, Team management, Client relationship management, Business development, Sales, Marketing, Product management, Research and development, Data analysis, Problem-solving, Communication, Leadership, Cloud computing, Artificial intelligence, Machine learning, Statistical modeling, Data visualization, Business process improvement, Change management, Project management, Agile methodologies, Scrum, Kanban","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":325000,"unitText":"YEAR"}}}]}