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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_0f6f3674-ac6"},"title":"Director, Enterprise Machine Learning & Research","description":"<p>The Enterprise ML team at Scale works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale&#39;s proprietary research, data, and infrastructure.</p>\n<p>As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.</p>\n<p>This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading, mentoring, and growing a team of research scientists and engineers working on GenAI research initiatives</li>\n<li>Defining and driving a multi-year research roadmap, identifying key scientific questions, setting milestones, allocating resources, and ensuring rigorous execution</li>\n<li>Collaborating cross-functionally with engineering, product, client-facing teams, and external academic or industry partners to translate research into components, insights, and actionable outcomes</li>\n<li>Communicating compellingly, publishing research, presenting at conferences, engaging in open-source contributions, and representing the team externally</li>\n<li>Driving an inclusive, high-performing culture, helping your team through technical challenges, providing growth opportunities, and attracting top talent</li>\n</ul>\n<p>Core qualifications include:</p>\n<ul>\n<li>8+ years of hands-on research experience in machine learning, deep learning, generative models, agent/RL systems, or related domains</li>\n<li>A strong track record of research excellence, including publications in top-tier ML/AI venues</li>\n<li>Experience leading or managing research teams</li>\n<li>Excellent written and verbal communication skills</li>\n</ul>\n<p>Nice-to-have qualifications include:</p>\n<ul>\n<li>Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments</li>\n<li>Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale</li>\n<li>Proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes</li>\n</ul>\n<p>Compensation packages at Scale include base salary, equity, and benefits, with a salary range of $289,800-$362,250 USD for this full-time position in San Francisco, New York, and Seattle.</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_0f6f3674-ac6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4679727005","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$289,800-$362,250 USD","x-skills-required":["machine learning","deep learning","generative models","agent/RL systems","research leadership","team management","communication","public speaking","writing","open-source contributions"],"x-skills-preferred":["hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments","prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale","proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes"],"datePosted":"2026-04-18T15:59:19.457Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, deep learning, generative models, agent/RL systems, research leadership, team management, communication, public speaking, writing, open-source contributions, hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments, prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale, proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":289800,"maxValue":362250,"unitText":"YEAR"}}},{"@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. 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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 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and GCP), and strategic technology partners across international markets.</p>\n<p>Based in London, you will lead and grow a team of Partner Solutions Architects, establishing Anthropic&#39;s technical partner ecosystem across EMEA and beyond. You&#39;ll be responsible for leading &amp; growing the International Partnerships Applied AI team, establishing processes and best practices for partner-led pre-sales engagements, helping each team member achieve success, high productivity, and career growth, and representing Anthropic as a technical lead on some of its most important international partnerships.</p>\n<p>In collaboration with the Sales, Partnerships, Product, and Engineering teams, you&#39;ll help partners incorporate leading-edge AI systems into their practices, solutions, and customer engagements. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike.</p>\n<p>You will play a critical role in identifying opportunities to accelerate indirect revenue, enable partner AI practices, and execute on long-term international GTM strategy, while maintaining our best-in-class safety standards.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Team Leadership &amp; Development: Manage and mentor a team of Applied AI, Partner Solutions Architects, providing both technical guidance and career development. Set goals and reviews for your team, promoting growth and output</li>\n</ul>\n<ul>\n<li>Strategic Technical Partnership: Serve as the senior technical thought partner to the Anthropic international GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities across international markets</li>\n</ul>\n<ul>\n<li>Partner Ecosystem Enablement: Embed your team with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues</li>\n</ul>\n<ul>\n<li>Joint Solution Development: Lead your team in collaborating with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment across international markets</li>\n</ul>\n<ul>\n<li>Customer Deal Support: Own the technical portions of partner-led pre-sales engagements, ensuring your team intervenes directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance</li>\n</ul>\n<ul>\n<li>Partner Ecosystem &amp; Events: Represent Anthropic at international partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions</li>\n</ul>\n<ul>\n<li>Cross-Functional Collaboration: Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes. Partner closely with your aligned GTM leadership to co-build international partner strategies</li>\n</ul>\n<ul>\n<li>Product Feedback: Validate and gather feedback on Anthropic&#39;s products and offerings, especially as they relate to international partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy</li>\n</ul>\n<ul>\n<li>Thought Leadership: Contribute to thought leadership through conference presentations, webinars, and technical content creation focused on the international partner ecosystem</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>7+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager</li>\n</ul>\n<ul>\n<li>5+ years of technical go-to-market management experience, specifically managing pre-sales or partner-facing technical teams across EMEA, APAC, and other international regions.</li>\n</ul>\n<ul>\n<li>Track record of successfully building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, WPP, TCS, Infosys) and/or cloud providers (AWS, GCP) to solve complex technical challenges across international markets</li>\n</ul>\n<ul>\n<li>Experience with the unique dynamics of partner-led selling and delivery, including indirect revenue models and partner enablement at scale</li>\n</ul>\n<ul>\n<li>Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including C-suite executives, engineering &amp; 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Intervene directly on strategic deals where partners are the primary delivery vehicle, providing deep solution architecture guidance.</p>\n<p>Product Feedback: Gather and validate feedback on Anthropic&#39;s products from partner deployments and deliver it to Product and Engineering to inform roadmap and partner strategy.</p>\n<p>You may be a good fit if you have:</p>\n<p>7+ years in technical customer-facing or partner-facing roles (Solutions Architect, Sales Engineer, Partner SE, TAM).</p>\n<p>3+ years managing pre-sales or partner-facing technical teams; comfortable building foundational teams in ambiguous, fast-moving environments.</p>\n<p>Track record building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, TCS, Infosys) and/or cloud providers (AWS, GCP, Azure).</p>\n<p>Deep understanding of partner-led selling and delivery: indirect revenue models, enablement at scale, and joint GTM motions.</p>\n<p>Technical depth in enterprise AI deployments: LLM architecture, prompt engineering, evaluation, API integrations, and production use cases.</p>\n<p>Exceptional communication and executive presence; able to build trusted relationships with C-suite, partner leadership, and engineering teams alike.</p>\n<p>A love of teaching and mentoring, and a passion for advancing safe, beneficial AI.</p>\n<p>Strong candidates may also have:</p>\n<p>5+ years leading partner-facing SA teams through hypergrowth, including developing both senior and junior talent.</p>\n<p>Direct experience helping GSIs or consultancies build their AI/ML practice - enablement programs, certification paths, joint solution development.</p>\n<p>The annual compensation range for this role is $315,000-$380,000 USD.</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_dbb4a6c8-3d9","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/5173031008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$315,000-$380,000 USD","x-skills-required":["Technical customer-facing or partner-facing roles","Pre-sales or partner-facing technical teams management","Partnership building and scaling","Partner-led selling and delivery","Enterprise AI deployments"],"x-skills-preferred":["LLM architecture","Prompt engineering","API integrations","Production use cases"],"datePosted":"2026-04-18T15:53:59.200Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical customer-facing or partner-facing roles, Pre-sales or partner-facing technical teams management, Partnership building and scaling, Partner-led selling and delivery, Enterprise AI deployments, LLM architecture, Prompt engineering, API integrations, Production use cases","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":315000,"maxValue":380000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5b0c9ca0-2ec"},"title":"Manager of Solutions Architecture, Applied AI (Industries)","description":"<p>As the Manager of the Applied AI Architect team for DACH Industries at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic&#39;s products across our Industries accounts. 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>\n<p>You&#39;ll be responsible for leading and growing the DACH Applied AI Architect team, establishing processes and best practices for your segment&#39;s pre-sales engagements based on your depth of experience and knowledge of the market, helping each team member achieve success, high productivity, and career growth, and representing Anthropic as a technical lead on some of its most important partnerships.</p>\n<p>In collaboration with Sales, Product, and Engineering teams, you&#39;ll help large enterprise customers incorporate leading-edge AI systems into both internal business transformation initiatives and customer-facing products. You will also help build technical GTM plays for Anthropic’s products and define high-value industry solutions.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Hire, manage and mentor a team of Applied AI Architects for DACH, providing both technical guidance and career development</li>\n<li>Set goals and reviews for your team, promoting growth and output</li>\n<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, architecture reviews, technical champion building, technical adoption workshops and POC execution</li>\n<li>Partner closely with your aligned GTM leadership to understand customer requirements and co-build GTM strategies to drive adoption across all industry verticals</li>\n<li>Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates customer ROI from Anthropic products</li>\n<li>Develop scalable technical engagement frameworks and reusable assets tailored for all non-tech sectors, including Financial Services &amp; Insurance, Healthcare, Telco, Retail and others.</li>\n<li>Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes</li>\n<li>Travel to customer sites for executive-level sessions, technical workshops, and building relationships</li>\n<li>Establish a shared vision for creating solutions that enable beneficial and safe AI</li>\n<li>Lead the vision, strategy, and execution of innovative solutions that leverage our latest models&#39; capabilities</li>\n<li>Contribute to thought leadership through conference presentations, webinars, and technical content creation</li>\n<li>Stay current with emerging AI/ML trends and competitive landscape across all major Industries verticals</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>7+ years of experience as an Solutions Architect, Sales Engineer, or similar pre-sales technical role</li>\n<li>3+ years of technical go-to-market management experience, specifically managing pre-sales teams</li>\n<li>Experience working with and selling to large enterprise customers across multiple verticals</li>\n<li>Demonstrated ability to navigate and articulate complex technical, organisational and regulatory requirements of large enterprises, in particular in regulated industries (e.g FSI, Healthcare &amp; Life Sciences)</li>\n<li>A proven knowledge of the DACH market and its local specificities (regulatory, cultural, technical…)</li>\n<li>Experience framing and delivering enterprise AI use cases (productivity, workflow transformation) and or scoping large enterprise adoption programs</li>\n<li>Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases</li>\n<li>Demonstrated ability to build scalable, repeatable processes and frameworks that work across diverse customer segments</li>\n<li>An organisational mindset and enjoy building foundational teams in a relatively unstructured environment</li>\n<li>Excellent communication, collaboration, and coaching abilities</li>\n<li>Comfort dealing with highly uncertain, ambiguous, and fast-moving environments</li>\n<li>Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams</li>\n<li>High-level familiarity with the architecture and operation of LLM and/or ML in general</li>\n<li>Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems</li>\n<li>Ability to make ambiguous problems clear and identify core principles that can translate across scenarios</li>\n<li>A passion for making powerful technology safe and societally beneficial</li>\n<li>Creative thinking about the risks and benefits of new technologies, beyond past checklists and playbooks</li>\n<li>A track record of staying current with emerging AI research and industry trends</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>10+ years technical experience</li>\n<li>5+ years managing AI technical teams in hypergrowth (ideally from 0 to 30+)</li>\n<li>Previous experience leading solutions architect or pre-sales teams through rapid growth</li>\n<li>Proven experience and understanding across all key non-tech industry verticals, in particular the regulated industries: Financial Services, Insurance, Healthcare, Life Sciences, Telco, Retail, Consumer Goods, Manufacturing, Oil &amp; Gas, etc.</li>\n<li>In addition to English, native or fluency in a DACH language</li>\n<li>Demonstrated experience in defining and delivering enterprise AI use cases in regulated industries: e.g Banking, Insurance, Healthcare and Life sciences</li>\n<li>Track record building technical playbooks and assets that scale across diverse customer segments</li>\n<li>Understanding of both digital-native technical requirements (API integration, developer experience) and traditional enterprise needs (security, compliance, change management)</li>\n<li>Background at enterprise AI software or API-first companies serving large enterprise customers</li>\n<li>Proven experience building a DACH AI team</li>\n</ul>\n<p>Logistics</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_5b0c9ca0-2ec","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/5117652008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Enterprise AI deployments","API integrations","Production LLM use cases","Technical go-to-market management","Pre-sales teams management","Large enterprise customers sales","Regulated industries (e.g FSI, Healthcare & Life Sciences) knowledge","DACH market knowledge","Scalable, repeatable processes and frameworks","Organisational mindset","Excellent communication, collaboration, and coaching abilities","High-level familiarity with LLM and/or ML architecture and operation","Prompt engineering, LLM evaluation, and architecting AI-powered systems"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:42:02.718Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Enterprise AI deployments, API integrations, Production LLM use cases, Technical go-to-market management, Pre-sales teams management, Large enterprise customers sales, Regulated industries (e.g FSI, Healthcare & Life Sciences) knowledge, DACH market knowledge, Scalable, repeatable processes and frameworks, Organisational mindset, Excellent communication, collaboration, and coaching abilities, High-level familiarity with LLM and/or ML architecture and operation, Prompt engineering, LLM evaluation, and architecting AI-powered systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_86f8a410-0b9"},"title":"Manager of Solutions Architecture, Applied AI (Industries)","description":"<p>Job Title: Manager of Solutions Architecture, Applied AI (Industries)</p>\n<p>About the Role:</p>\n<p>As the manager of the Industries Solutions Architect team within Applied AI at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go-to-market organisation. Our Industries customers include Fortune 500 companies within verticals like financial services, healthcare life sciences, and retail.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development.</li>\n<li>Set goals for your team in collaboration with sales and other parts of the organisation that establish baseline expectations for performance.</li>\n<li>Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or use case scoping and POC execution.</li>\n<li>Partner closely with Industries sales leadership to identify new strategies to drive adoption of Anthropic products within specific verticals or horizontal use cases.</li>\n<li>Work with cross-functional teams like product and engineering to ensure Anthropic prioritises customer feedback or resolves blockers to adoption.</li>\n<li>Travel to customer sites or 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patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles.</li>\n<li>Multi-Segment GTM Experience: Demonstrated success adapting technical approaches across customer segments (commercial to Fortune 100).</li>\n</ul>\n<p>Salary: The annual compensation range for this role is $270,000-$345,000 USD.</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_86f8a410-0b9","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/4964610008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$270,000-$345,000 USD","x-skills-required":["Solutions Architecture","Sales 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In collaboration with Sales, Partnerships, Product, and Engineering, you will help partners incorporate leading-edge AI into their practices, accelerate indirect revenue, and execute long-term GTM strategy while maintaining our best-in-class safety standards.</p>\n<p>Responsibilities:</p>\n<p>Team Leadership &amp; Development: Hire, manage, and mentor a team of Partner Solutions Architects. Set goals, run reviews, and coach each team member toward high productivity and career growth.</p>\n<p>Strategic Technical Partnership: Act as the senior technical thought partner to Anthropic&#39;s GTM partnerships team. Co-build partner strategy with aligned GTM leadership, drive key programs, and align cross-functional stakeholders (Sales, Product, Engineering) behind partner outcomes.</p>\n<p>Partner Enablement &amp; Ecosystem: Embed your team with GSI and cloud partner technical teams to enable their AI practices, troubleshoot, and evangelize Anthropic in their developer communities. 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Intervene directly on strategic deals where partners are the primary delivery vehicle, providing deep solution architecture guidance.</p>\n<p>Product Feedback: Gather and validate feedback on Anthropic&#39;s products from partner deployments and deliver it to Product and Engineering to inform roadmap and partner strategy.</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_56bd1ff9-278","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/5173031008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$315,000-$380,000 USD","x-skills-required":["Technical depth in enterprise AI deployments","LLM architecture","Prompt engineering","Evaluation","API integrations","Production use cases","Deep understanding of partner-led selling and delivery","Indirect revenue models","Enablement at scale","Joint GTM motions","Exceptional communication and executive presence","Ability to build trusted relationships with C-suite, partner leadership, and engineering teams alike"],"x-skills-preferred":["5+ years leading partner-facing SA teams through hypergrowth","Direct experience helping GSIs or consultancies build their AI/ML practice","Enablement programs","Certification paths","Joint solution development"],"datePosted":"2026-04-18T15:40:55.039Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical depth in enterprise AI deployments, LLM architecture, Prompt engineering, Evaluation, API integrations, Production use cases, Deep understanding of partner-led selling and delivery, Indirect revenue models, Enablement at scale, Joint GTM motions, Exceptional communication and executive presence, Ability to build trusted relationships with C-suite, partner leadership, and engineering teams alike, 5+ years leading partner-facing SA teams through hypergrowth, Direct experience helping GSIs or consultancies build their AI/ML practice, Enablement programs, Certification paths, Joint solution development","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":315000,"maxValue":380000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c0df6b64-aad"},"title":"Head of Solutions Architects, Applied AI (Korea)","description":"<p><strong>Job Title</strong></p>\n<p>Head of Solutions Architects, Applied AI (Korea)</p>\n<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;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.</p>\n<p><strong>About the Role</strong></p>\n<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>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<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>\n<li>Set goals and reviews for your team, promoting growth and output</li>\n<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>\n<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>\n<li>Contribute to thought leadership through conference presentations, webinars, and technical content creation</li>\n<li>Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products</li>\n<li>Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organisation to drive business outcomes</li>\n<li>Travel regularly to customer sites for executive-level sessions, technical workshops, and building relationships</li>\n<li>Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products</li>\n<li>Lead the vision, strategy, and execution of innovative solutions that leverage our latest models&#39; capabilities</li>\n<li>Stay current with emerging AI/ML trends and competitive landscape in the Korean enterprise tech sector</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role</li>\n<li>3+ years of technical go-to-market management experience, specifically managing pre-sales teams</li>\n<li>Native or business-level fluency in Korean and professional proficiency in English</li>\n<li>Experience working with Korean enterprise customers and understanding local business culture and decision-making processes</li>\n<li>Experience with the unique technical requirements and technical procurement process of enterprise tech companies</li>\n<li>Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases</li>\n<li>Have an organisational mindset and enjoy building foundational teams in a relatively unstructured environment</li>\n<li>Have excellent communication, collaboration, and coaching abilities</li>\n<li>Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry</li>\n<li>Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams</li>\n<li>Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general</li>\n<li>Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems</li>\n<li>Make ambiguous problems clear and identify core principles that can translate across scenarios</li>\n<li>Have a passion for making powerful technology safe and societally beneficial</li>\n<li>Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks</li>\n<li>Stay up-to-date and informed by taking an active interest in emerging research and industry trends</li>\n<li>Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package</li>\n<li>Opportunity to work with a talented and diverse team</li>\n<li>Professional development and growth opportunities</li>\n<li>Flexible work arrangements</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you&#39;re interested in this opportunity, please submit your resume and a cover letter explaining why you&#39;re a great fit for this role. We can&#39;t wait to hear from you!</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_c0df6b64-aad","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/5064817008","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["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","Machine Learning","Prompt Engineering","LLM Evaluation","AI-Powered Systems"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:40:39.535Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seoul, South Korea"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","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, Machine Learning, Prompt Engineering, LLM Evaluation, AI-Powered Systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a9c991df-d04"},"title":"Manager of Solutions Architecture, Applied AI (Industries)","description":"<p>As the Manager of the Applied AI Architect team for Northern European Industries at Anthropic, 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 our Industries accounts: large enterprises across all non-tech verticals in the UK, Ireland and the Nordics.</p>\n<p>You&#39;ll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers&#39; 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Our technology is designed to integrate seamlessly into daily working life.</p>\n<p>We are a distributed team with offices in France, USA, UK, Germany, and Singapore. We are a low-ego and team-spirited organisation.</p>\n<p>About the Role</p>\n<p>As a Technical Marketing Engineer (TME), you will bridge the gap between Mistral AI&#39;s science/engineering organisations and our marketing teams. You will create technical content to educate enterprise decision-makers, align technical capabilities with business goals, and accelerate sales cycles.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Create and Deliver Technical Content: Develop model/product technical launch materials, technical proof points, presentation decks, demo videos, webinars, workshops, blogs, whitepapers, and sales training materials.</li>\n<li>Enable Sales and Partners: Equip sales teams and partners with technical knowledge to engage in deeper, more credible conversations with technical stakeholders.</li>\n<li>Support Model Launches: Collaborate on model launches, ensuring technical messaging is clear and impactful.</li>\n<li>Engage with Analysts and Industry Leaders: Participate in analyst briefings, technical advisory boards (TABs), and industry standards discussions to position Mistral AI as a thought leader.</li>\n<li>Build Trust and Drive Adoption: Work with solutions architects and developer relations to ensure seamless integration and implementation of our solutions through targeted technical content.</li>\n<li>Interface with Science and Engineering: Act as the technical liaison between engineering, science, and marketing teams, translating complex LLM concepts (including pre-training and post-training techniques) into actionable insights for enterprise audiences.</li>\n</ul>\n<p>Who You Are</p>\n<ul>\n<li>Experience: 3+ years in technical marketing, solutions engineering, or a similar role, preferably in AI/ML or enterprise software.</li>\n<li>Technical Skills: Ability to understand and communicate complex technical concepts to both technical and non-technical audiences. Familiarity with enterprise AI solutions, cloud environments, and technical sales enablement.</li>\n<li>Mindset: Collaborative, creative, and low-ego. Passionate about AI and its potential to transform industries.</li>\n</ul>\n<p>What We Offer</p>\n<ul>\n<li>Competitive cash salary and equity</li>\n<li>Daily lunch vouchers: Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company</li>\n<li>Sport: Enjoy discounted access to gyms and fitness studios through our Wellpass partnership</li>\n<li>Transportation: Monthly contribution to a mobility pass via Betterway</li>\n<li>Health: Full health insurance for you and your family</li>\n<li>Parental: Generous parental leave policy</li>\n<li>Visa sponsorship</li>\n<li>Coaching: we offer BetterUp coaching on a voluntary basis</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_baec12df-551","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral 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You will create technical content to educate enterprise decision-makers, align technical capabilities with business goals, and accelerate sales cycles.</p>\n<p>Your role is critical in simplifying complex technical concepts, building trust, and driving adoption of our AI solutions.</p>\n<p>Responsibilities</p>\n<p>Create and Deliver Technical Content:</p>\n<ul>\n<li>Develop model/product technical launch materials, technical proof points, presentation decks, demo videos, webinars, workshops, blogs, whitepapers, and sales training materials.</li>\n</ul>\n<p>Enable Sales and Partners:</p>\n<ul>\n<li>Equip sales teams and partners with technical knowledge to engage in deeper, more credible conversations with technical stakeholders.</li>\n</ul>\n<p>Support Model Launches:</p>\n<ul>\n<li>Collaborate on model launches, ensuring technical messaging is clear and impactful.</li>\n</ul>\n<p>Engage with Analysts and Industry Leaders:</p>\n<ul>\n<li>Participate in analyst briefings, technical advisory boards (TABs), and industry standards discussions to position Mistral AI as a thought leader.</li>\n</ul>\n<p>Build Trust and Drive Adoption:</p>\n<ul>\n<li>Work with solutions architects and developer relations to ensure seamless integration and implementation of our solutions through targeted technical content.</li>\n</ul>\n<p>Interface with Science and Engineering:</p>\n<ul>\n<li>Act as the technical liaison between engineering, science, and marketing teams, translating complex LLM concepts (including pre-training and post-training techniques) into actionable insights for enterprise audiences.</li>\n</ul>\n<p>Who You Are</p>\n<p>Experience:</p>\n<ul>\n<li><p>3+ years in technical marketing, solutions engineering, or a similar role, preferably in AI/ML or enterprise software.</p>\n</li>\n<li><p>Experience with large language models (LLMs), including pre-training and post-training techniques, is a strong plus.</p>\n</li>\n</ul>\n<p>Technical Skills:</p>\n<ul>\n<li><p>Ability to understand and communicate complex technical concepts to both technical and non-technical audiences.</p>\n</li>\n<li><p>Familiarity with enterprise AI solutions, cloud environments, and technical sales enablement.</p>\n</li>\n<li><p>Strong written and verbal communication skills, with a knack for storytelling and simplifying complexity.</p>\n</li>\n</ul>\n<p>Mindset:</p>\n<ul>\n<li><p>Collaborative, creative, and low-ego.</p>\n</li>\n<li><p>Passionate about AI and its potential to transform industries.</p>\n</li>\n</ul>\n<p>Academic Background:</p>\n<ul>\n<li>Degree in Computer Science, Engineering, or a related technical field is preferred.</li>\n</ul>\n<p>It Would Be Ideal If You:</p>\n<ul>\n<li><p>Have hands-on experience with AI/ML models, especially in a technical marketing or solutions engineering capacity.</p>\n</li>\n<li><p>Are comfortable working in a fast-paced, innovative environment and thrive in cross-functional teams.</p>\n</li>\n<li><p>Have a track record of creating technical content that drives adoption and accelerates sales cycles.</p>\n</li>\n<li><p>Are based in or willing to relocate to Paris, EU.</p>\n</li>\n</ul>\n<p>What We Offer</p>\n<p>FRANCE</p>\n<ul>\n<li><p>Competitive cash salary and equity</p>\n</li>\n<li><p>Daily lunch vouchers: Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company</p>\n</li>\n<li><p>Sport: Enjoy discounted access to gyms and fitness studios through our Wellpass partnership</p>\n</li>\n<li><p>Transportation: Monthly contribution to a mobility pass via Betterway</p>\n</li>\n<li><p>Health: Full health insurance for you and your family</p>\n</li>\n<li><p>Parental: Generous parental leave policy</p>\n</li>\n<li><p>Visa sponsorship</p>\n</li>\n</ul>\n<p>UK</p>\n<ul>\n<li><p>Competitive cash salary and equity</p>\n</li>\n<li><p>Health Insurance</p>\n</li>\n<li><p>Transportation: Reimburse office parking charges, or 90GBP/month for public transport</p>\n</li>\n<li><p>Sport: 90GBP/month allowance for gym membership</p>\n</li>\n<li><p>Food: £200 monthly allowance (solution might evolve as we grow bigger)</p>\n</li>\n<li><p>Pension plan: SmartPension (percentages are 5% Employee &amp; 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capabilities</li>\n</ul>\n<ul>\n<li>Stay current with emerging AI/ML trends and competitive landscape in the Korean enterprise tech sector</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role</li>\n</ul>\n<ul>\n<li>3+ years of technical go-to-market management experience, specifically managing pre-sales teams</li>\n</ul>\n<ul>\n<li>Native or business-level fluency in Korean and professional proficiency in English</li>\n</ul>\n<ul>\n<li>Experience working with Korean enterprise customers and understanding local business culture and decision-making processes</li>\n</ul>\n<ul>\n<li>Experience with the unique technical requirements and technical procurement process of enterprise tech companies</li>\n</ul>\n<ul>\n<li>Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases</li>\n</ul>\n<ul>\n<li>Have an organisational mindset and enjoy building foundational teams in a relatively unstructured environment</li>\n</ul>\n<ul>\n<li>Have excellent communication, collaboration, and coaching abilities</li>\n</ul>\n<ul>\n<li>Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry</li>\n</ul>\n<ul>\n<li>Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams</li>\n</ul>\n<ul>\n<li>Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general</li>\n</ul>\n<ul>\n<li>Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems</li>\n</ul>\n<ul>\n<li>Make ambiguous problems clear and identify core principles that can translate across scenarios</li>\n</ul>\n<ul>\n<li>Have a passion for making powerful technology safe and societally beneficial</li>\n</ul>\n<ul>\n<li>Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks</li>\n</ul>\n<ul>\n<li>Stay up-to-date and informed by taking an active interest in emerging research and industry trends</li>\n</ul>\n<ul>\n<li>Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies</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_77529f19-0dc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/jobs","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5064817008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["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"],"x-skills-preferred":["Korean","English","Enterprise tech companies","Developer tooling","SDKs","Technical integration patterns"],"datePosted":"2026-03-08T13:45:48.461Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seoul, South Korea"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","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"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_519653d2-8cc"},"title":"Manager of Solutions Architecture, Applied AI (Industries)","description":"<p>As the manager of the Industries Solutions Architect team within Applied AI at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organisation. 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You will have excellent communication, collaboration, and coaching abilities.</p>\n<p>You will have strong executive presence and ability to foster deep relationships with technical leaders and engineering teams at Fortune 500 companies. You will have at least a high level familiarity with the architecture and operation of LLMs. You will have a passion for making powerful technology safe and societally beneficial.</p>\n<p>You will stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI.</p>\n<p>Strong candidates may have experience in enterprise pre-sales leadership at scale, AI technical depth, and executive engagement. They may have multi-segment GTM experience and a proven track record adapting technical approaches across customer segments.</p>\n<p>The annual compensation range for this role is $270,000 - $345,000 USD.</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_519653d2-8cc","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/4964610008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$270,000 - $345,000 USD","x-skills-required":["Solutions Architecture","Sales Engineering","Pre-sales Technical Role","Enterprise AI Use Cases","API Integrations","LLM Deployments","Team Management","Process 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