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You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li><strong>Own the technical delivery plan for each engagement.</strong> Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.</li>\n</ul>\n<ul>\n<li><strong>Lead technical discovery:</strong> map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.</li>\n</ul>\n<ul>\n<li><strong>Run day-to-day engineering execution and delivery</strong> across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.</li>\n</ul>\n<ul>\n<li><strong>Own product scoping for field engagements:</strong> define the MVP, author requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve.</li>\n</ul>\n<ul>\n<li><strong>Own the customer relationship throughout delivery.</strong> Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic&#39;s technical credibility with senior business and engineering leaders.</li>\n</ul>\n<ul>\n<li><strong>Own value measurement and ROI:</strong> define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.</li>\n</ul>\n<ul>\n<li>Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.</li>\n</ul>\n<ul>\n<li>Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.</li>\n</ul>\n<ul>\n<li>Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.</li>\n</ul>\n<ul>\n<li>Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting.</li>\n</ul>\n<ul>\n<li>Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected).</li>\n</ul>\n<p><strong>You May Be a Good Fit If You</strong></p>\n<ul>\n<li>Have 5+ years of customer-facing technical delivery leadership — this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software.</li>\n</ul>\n<ul>\n<li>Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.</li>\n</ul>\n<ul>\n<li>Experience in financial services, healthcare/life sciences, or pharmaceutical verticals.</li>\n</ul>\n<ul>\n<li>Background at a Forward Deployed Engineering company or Big 3 / Big 4 professional services and consulting firms.</li>\n</ul>\n<ul>\n<li>Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won&#39;t write production code, but you will own the technical direction of engagements alongside FDEs.</li>\n</ul>\n<ul>\n<li>Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple work-streams in regulated industries.</li>\n</ul>\n<ul>\n<li>Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.</li>\n</ul>\n<ul>\n<li>Thrive in ambiguity and bring structure where none exists.</li>\n</ul>\n<ul>\n<li>Have a builder&#39;s mindset — you&#39;re here to create a function, not join one.</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. 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This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.</li>\n<li>Deliver technical artifacts for customers, such as MCP servers, sub-agents, and agent skills, that will be used in production workflows.</li>\n<li>Provide deployment support for Anthropic products in enterprise environments.</li>\n<li>Identify and codify reusable deployment patterns and provide information to our Product and Engineering teams.</li>\n<li>Maintain a deep understanding of the latest developments in LLM capabilities, implementation models, and product development technology stacks.</li>\n<li>Establish long-term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.</li>\n<li>Frequently travel (25-50%) to customer sites to build personal relationships with them.</li>\n<li>Be a champion of the Anthropic mission on the ground.</li>\n</ul>\n<p><strong>Profile</strong></p>\n<ul>\n<li>You have more than 4 years of experience in a technical customer-facing role, such as a Forward Deployed Engineer or a Software Engineer with a customer-facing background. 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Former technical founders are also encouraged to apply.</li>\n<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>\n<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like Typescript, Java, etc) and experience shipping production applications</li>\n<li>High agency with an ability to navigate ambiguity present in complex organizations.</li>\n<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.</li>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications.</li>\n<li>Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.</li>\n<li>A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.</li>\n<li>Experience with enterprise IT systems and/or AI deployment patterns is a plus.</li>\n<li>Experience working as an FDE or in a professional services context is a plus.</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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.</p>\n<p><strong>Visa sponsorship:</strong> 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><strong>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.</strong></p>\n<p><strong>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</strong></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_447e0764-67d","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/4985877008?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":"$200,000 - $300,000USD","x-skills-required":["Python","LLMs","prompt engineering","agent development","evaluation frameworks","deployment at scale","MCP servers","sub-agents","agent skills","enterprise IT systems","AI deployment patterns"],"x-skills-preferred":["Typescript","Java","financial services","healthcare/life sciences","professional services"],"datePosted":"2026-03-08T13:43:29.018Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta, GA; Austin, TX; Boston, MA; Chicago, IL; New York City, NY; Seattle, WA; San Francisco, CA; New York City, NY; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLMs, prompt engineering, agent development, evaluation frameworks, deployment at scale, MCP servers, sub-agents, agent skills, enterprise IT systems, AI deployment patterns, Typescript, Java, financial services, healthcare/life sciences, professional services","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":300000,"unitText":"YEAR"}}}]}