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  <jobs>
    <job>
      <externalid>77529f19-0dc</externalid>
      <Title>Manager, Solutions Architect</Title>
      <Description><![CDATA[<p><strong>About the role</strong></p>
<p>As the founding leader of Applied AI Solutions Architecture in Korea, you will drive the adoption of frontier AI by enabling the deployment of Anthropic&#39;s products (Claude for Enterprise, Claude Code, and API) across Korean enterprises and digital-first organisations. You&#39;ll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers&#39; business needs, meets their technical requirements, and provides a high degree of reliability and safety.</p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Build and manage the foundational team of Applied AI professionals in Seoul (Solutions Architects and Product Engineers) providing both technical guidance and career development</li>
</ul>
<ul>
<li>Set goals and reviews for your team, promoting growth and output</li>
</ul>
<ul>
<li>Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution</li>
</ul>
<ul>
<li>Partner closely with your aligned GTM leadership to understand customer requirements &amp; co-build GTM strategies to drive adoption for Korean enterprise customers</li>
</ul>
<ul>
<li>Contribute to thought leadership through conference presentations, webinars, and technical content creation</li>
</ul>
<ul>
<li>Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products</li>
</ul>
<ul>
<li>Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organisation to drive business outcomes</li>
</ul>
<ul>
<li>Travel regularly to customer sites for executive-level sessions, technical workshops, and building relationships</li>
</ul>
<ul>
<li>Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products</li>
</ul>
<ul>
<li>Lead the vision, strategy, and execution of innovative solutions that leverage our latest models&#39; capabilities</li>
</ul>
<ul>
<li>Stay current with emerging AI/ML trends and competitive landscape in the Korean enterprise tech sector</li>
</ul>
<p><strong>You may be a good fit if you have:</strong></p>
<ul>
<li>7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role</li>
</ul>
<ul>
<li>3+ years of technical go-to-market management experience, specifically managing pre-sales teams</li>
</ul>
<ul>
<li>Native or business-level fluency in Korean and professional proficiency in English</li>
</ul>
<ul>
<li>Experience working with Korean enterprise customers and understanding local business culture and decision-making processes</li>
</ul>
<ul>
<li>Experience with the unique technical requirements and technical procurement process of enterprise tech companies</li>
</ul>
<ul>
<li>Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases</li>
</ul>
<ul>
<li>Have an organisational mindset and enjoy building foundational teams in a relatively unstructured environment</li>
</ul>
<ul>
<li>Have excellent communication, collaboration, and coaching abilities</li>
</ul>
<ul>
<li>Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry</li>
</ul>
<ul>
<li>Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams</li>
</ul>
<ul>
<li>Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general</li>
</ul>
<ul>
<li>Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems</li>
</ul>
<ul>
<li>Make ambiguous problems clear and identify core principles that can translate across scenarios</li>
</ul>
<ul>
<li>Have a passion for making powerful technology safe and societally beneficial</li>
</ul>
<ul>
<li>Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks</li>
</ul>
<ul>
<li>Stay up-to-date and informed by taking an active interest in emerging research and industry trends</li>
</ul>
<ul>
<li>Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Solutions Architect, Sales Engineer, Pre-sales technical role, Technical go-to-market management, Enterprise AI deployments, API integrations, Production LLM use cases, Large language models, ML in general, Prompt engineering, LLM evaluation, Architecting AI-powered systems, Korean, English, Enterprise tech companies, Developer tooling, SDKs, Technical integration patterns</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic&apos;s mission is to create reliable, interpretable, and steerable AI systems. The company is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/jobs</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5064817008</Applyto>
      <Location>Seoul, South Korea</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
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