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This is not a reactive support role,this is a proactive, strategic technical leader who identifies blockers before they become problems, champions new use cases, and directly influences $5M+ in annual recurring revenue.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Pre-Sales</strong></p>\n<ul>\n<li>Strategic Technical Discovery: When you are pulled into complex deals, you join as the expert closer. You run deep discovery on their stack and constraints, then design the winning technical strategy.</li>\n</ul>\n<ul>\n<li>Proof of Value (POV) &amp; Live Building: You build live, functional applications on the fly during executive meetings to prove immediate value and technical feasibility to VPs and C-suite stakeholders.</li>\n</ul>\n<ul>\n<li>Context &amp; Connectivity (MCP): You write and deploy Model Context Protocol (MCP) servers to securely connect Replit Agents to customer-specific data, making Replit the central hub for their internal development.</li>\n</ul>\n<ul>\n<li>Enterprise Governance: You own the &quot;Guardrails&quot; mission. You configure workspace policies and AI governance templates that solve for data safety, compliance, and CISO approval.</li>\n</ul>\n<ul>\n<li>Infrastructure Strategy: You lead deep-dive reviews for Single-Tenant/VPC deployments, ensuring Replit fits the customer’s security posture.</li>\n</ul>\n<ul>\n<li>Hackathons &amp; Trials: You lead high-energy Hackathons alongside Account Executives to drive hands-on experience and excitement about Replit.</li>\n</ul>\n<p><strong>Post-Sales</strong></p>\n<ul>\n<li>Production Foundation: You lead the technical kickoff, ensuring production-ready SSO/SCIM provisioning, guardrails, and security setup.</li>\n</ul>\n<ul>\n<li>Technical Onboarding &amp; Enablement: You ensure customers learn how to build in Replit to its maximum capabilities. You enable technical and non-technical teams by running training sessions and workshops that establish enterprise workflows with Replit.</li>\n</ul>\n<ul>\n<li>Design Systems: You build Design Systems and starter templates tailored to the customer’s stack to accelerate their internal development time.</li>\n</ul>\n<ul>\n<li>Drive Viral Growth: You build trust with key technical stakeholders, proactively running enablement sessions to keep teams building. You act as the spark for viral growth within the account.</li>\n</ul>\n<ul>\n<li>Source &amp; Qualify Expansion: Work with Account Managers to proactively identify new teams, new use cases, and new projects. 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You can explain complex technical concepts to non-technical executives and translate business requirements into technical architecture</li>\n</ul>\n<ul>\n<li>Live Builder: You&#39;ve run POCs, onboarding sessions, and workshops. You can listen to vague requirements and translate them on the fly into technical concepts, creating live apps in real-time</li>\n</ul>\n<ul>\n<li>Production Engineering: You can read and write code (JavaScript, Python, or similar). You understand APIs, databases, CI/CD pipelines, and modern cloud architecture</li>\n</ul>\n<ul>\n<li>Pod Mentality: You thrive in a high-accountability POD structure</li>\n</ul>\n<ul>\n<li>Military Experience: Relevant military experience with technology is counted as background and experience</li>\n</ul>\n<p>Comfort with up to 25% travel (expect 30%+)</p>\n<p><strong>Nice to have:</strong></p>\n<ul>\n<li>Experience with AI-powered dev tools (Cursor, Windsurf, Lovable, Claude Code, Zapier etc.)</li>\n</ul>\n<ul>\n<li>Understanding of AI Evaluation patterns (Evals) and Context Management (RAG, System Prompts)</li>\n</ul>\n<ul>\n<li>Background in DevOps, cloud infrastructure (AWS/GCP/Azure), or SRE</li>\n</ul>\n<p><strong>Tools + Tech Stack for this role:</strong></p>\n<ul>\n<li>Replit</li>\n</ul>\n<ul>\n<li>HubSpot CRM</li>\n</ul>\n<ul>\n<li>SSO/SAML/SCIM identity systems</li>\n</ul>\n<ul>\n<li>Cloud platforms (AWS, GCP, Azure)</li>\n</ul>\n<ul>\n<li>Slack</li>\n</ul>\n<ul>\n<li>Claude</li>\n</ul>\n<ul>\n<li>ChatGPT</li>\n</ul>\n<ul>\n<li>Gemini</li>\n</ul>\n<ul>\n<li>Notion</li>\n</ul>\n<ul>\n<li>Superhuman</li>\n</ul>\n<ul>\n<li>ZoomInfo</li>\n</ul>\n<ul>\n<li>Hex</li>\n</ul>\n<p><strong>This role may not be a fit if:</strong></p>\n<ul>\n<li>You haven&#39;t had your &quot;Replit Moment&quot;. You didn&#39;t explore the product on your own, get mind-blown by the speed of creation, and immediately start showing your apps to friends and family</li>\n</ul>\n<ul>\n<li>You are uncomfortable building functional apps on the fly in front of executives or need a script to demonstrate value</li>\n</ul>\n<ul>\n<li>You prefer reactive troubleshooting over proactively identifying architectural blockers and owning the technical strategy</li>\n</ul>\n<ul>\n<li>You struggle to debug code, configure SSO, or understand cloud infrastructure without significant hand-holding</li>\n</ul>\n<ul>\n<li>You aren&#39;t obsessed with how Agents are rewriting the SDLC, and you don&#39;t use AI tools to build in your own spare time</li>\n</ul>\n<ul>\n<li>You struggle in ambiguous, high-growth environments where you often have to build the tool or process required to solve the problem</li>\n</ul>\n<ul>\n<li>You&#39;re not comfortable with significant travel (up to 30%+) for customer meetings and on-site engagements</li>\n</ul>\n<ul>\n<li>You prefer transactional interactions over building deep, multi-year customer relationships</li>\n</ul>\n<p><strong>Full-Time Employee Benefits Include:</strong></p>\n<ul>\n<li>Competitive Salary &amp; Equity</li>\n</ul>\n<ul>\n<li>401(k) Program with a 4% match</li>\n</ul>\n<ul>\n<li>Health, Dental, Vision and Life Insurance</li>\n</ul>\n<ul>\n<li>Short Term and Long Term Disability</li>\n</ul>\n<ul>\n<li>Paid Parental, Medical, Caregiver Leave</li>\n</ul>\n<ul>\n<li>Commuter Benefits</li>\n</ul>\n<ul>\n<li>Monthly Wellness Stipend</li>\n</ul>\n<ul>\n<li>Autonomous Work Environment</li>\n</ul>\n<ul>\n<li>In Office Set-Up Reimbursement</li>\n</ul>\n<ul>\n<li>Flexible Time Off (FTO) + Holidays</li>\n</ul>\n<ul>\n<li>Quarterly Team Gatherings</li>\n</ul>\n<ul>\n<li>In Office Amenities</li>\n</ul>\n<p><strong>Want to learn more about what we are up to?</strong></p>\n<ul>\n<li>Meet the Replit Agent</li>\n</ul>\n<ul>\n<li>Replit: Make an app for that</li>\n</ul>\n<ul>\n<li>Replit Blog</li>\n</ul>\n<ul>\n<li>Amjad TED Talk</li>\n</ul>\n<p><strong>Interviewing + Culture at Replit</strong></p>\n<ul>\n<li>Operating Principles</li>\n</ul>\n<ul>\n<li>Reasons not to work at Replit</li>\n</ul>\n<p><strong>To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. 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You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with Claude Code, the Claude API, and Claude for Enterprise</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel frequently to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>TS/SCI clearance required</li>\n</ul>\n<ul>\n<li>Must have prior experience working with US national security (defense and/or intelligence) agencies</li>\n</ul>\n<ul>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Experience navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Familiar with Python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p>The annual compensation range for this role is $240,000-$270,000 USD.</p>\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</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<p>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.</p>\n<p>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>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.</p>\n<p>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, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. 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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. 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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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As a Customer Solutions Architect, you will monitor an existing book of business, lead technical discussions with customers, uncover new data challenges, and showcase how dbt Cloud can address their needs through live demos and technical workshops.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Manage a portfolio of Commercial or Enterprise customers and proactively monitor the health of your accounts, product adoption, and utilization across your book of business to identify opportunities for potential expansion and churn or contraction risks</li>\n<li>Improve customer loyalty and retention through building and maintaining strong relationships with key technical stakeholders within customer accounts, and understanding their analytics needs and use cases to determine where dbt Cloud can help them achieve their goals</li>\n<li>Increase the value customers obtain from dbt Cloud through educating your customer base on new products and features as they are launched and on existing products and features that they may not be making use of</li>\n<li>Collaborate closely with Sales Directors and Solutions Architects on your accounts, building strong trust-based relationships and providing strategic input on the customer lifecycle and renewals processes</li>\n<li>Be the voice of the customer in product discussions, work with the team to improve the way we work together, and participate in other cross-functional activities</li>\n<li>Participate in the knowledge loop helping to improve our processes and assets and enabling others on the team</li>\n<li>Create and deliver external facing content through live events, blog posts, recorded tutorials, or other content</li>\n</ul>\n<p>What You&#39;ll Need</p>\n<ul>\n<li>2+ years of experience in a post-sales role, such as a technical account manager or CSE</li>\n<li>A solid technical background, with a firm understanding of modern data warehousing architectures, the analytics stack, and SQL proficiency</li>\n<li>High degree of comfort presenting to various stakeholders or audience, ideally with experience in an externally facing role</li>\n<li>Ability to operate in an ambiguous and fast-paced environment and think on your feet when engaged in customer conversations</li>\n<li>Desire to be part of a team, both as an active member of the Customer Solutions Architect team as we continue to evolve and improve how we work, and in your day-to-day work with Sales Directors and Solutions Architects</li>\n<li>Openness to travel</li>\n</ul>\n<p>What Will Make You Stand Out</p>\n<ul>\n<li>Bonus points for dbt certification, prior dbt experience will be very helpful in this role</li>\n<li>Basic python competency and advanced SQL knowledge</li>\n<li>Have experience with ancillary tools, managing data infrastructure, APIs, etc</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Unlimited vacation time with a culture that actively encourages time off</li>\n<li>401k plan with 3% guaranteed company contribution</li>\n<li>Comprehensive healthcare coverage</li>\n<li>Generous paid parental leave</li>\n<li>Flexible stipends for:</li>\n<li>Health &amp; Wellness</li>\n<li>Home Office Setup</li>\n<li>Cell Phone &amp; Internet</li>\n<li>Learning &amp; Development</li>\n<li>Office Space</li>\n</ul>\n<p>Compensation</p>\n<p>We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs total rewards during your interview process.</p>\n<p>OTE Range (Select Locations)</p>\n<p>$110,000-$140,000 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_45c42a6e-519","directApply":true,"hiringOrganization":{"@type":"Organization","name":"dbt Labs","sameAs":"https://www.getdbt.com/","logo":"https://logos.yubhub.co/getdbt.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dbtlabsinc/jobs/4664399005","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$110,000-$140,000 USD","x-skills-required":["modern data warehousing architectures","analytics stack","SQL proficiency","post-sales role","technical account manager"],"x-skills-preferred":["dbt certification","prior dbt experience","basic python competency","advanced SQL knowledge","ancillary tools","managing data infrastructure","APIs"],"datePosted":"2026-04-18T15:55:40.064Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin, Texas"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"modern data warehousing architectures, analytics stack, SQL proficiency, post-sales role, technical account manager, dbt certification, prior dbt experience, basic python competency, advanced SQL knowledge, ancillary tools, managing data infrastructure, APIs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":110000,"maxValue":140000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a2470208-732"},"title":"Solutions Architect, Applied AI (Industries)","description":"<p>As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.</p>\n<p>You&#39;ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. 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You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Native German speaker with fluent English proficiency</li>\n</ul>\n<ul>\n<li>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Comfortable with python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p>Annual Salary: €190,000-€215,000 EUR</p>\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</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<p>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.</p>\n<p>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>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.</p>\n<p>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, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<ul>\n<li>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. 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We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate</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_a2470208-732","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/4977624008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"€190,000-€215,000 EUR","x-skills-required":["Technical customer-facing roles","Solutions Architect","Sales Engineer","Technical Account Manager","Native German speaker","Fluent English proficiency","Experience working with enterprise customers","Complex buying cycles","Multiple stakeholders","Exceptional ability to build relationships","Communicate technical concepts","Diverse stakeholders","C-suite executives","Engineering & IT teams","Strong technical communication skills","Translate customer requirements","Technical and business stakeholders","Experience designing scalable cloud architectures","Integrating with enterprise systems","Comfortable with python","Familiarity with common LLM frameworks and tools","Background in machine learning or data science","Excitement for cross-organizational collaboration","Working through trade-offs","Balancing competing priorities","Love of teaching, mentoring, and helping others succeed","Excellent communication and interpersonal skills","Convey complicated topics in easily understandable terms","Diverse set of external and internal stakeholders","Passion for thinking creatively about how to use technology","Safe and beneficial","Advancing safe AI systems"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:22.181Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical customer-facing roles, Solutions Architect, Sales Engineer, Technical Account Manager, Native German speaker, Fluent English proficiency, Experience working with enterprise customers, Complex buying cycles, Multiple stakeholders, Exceptional ability to build relationships, Communicate technical concepts, Diverse stakeholders, C-suite executives, Engineering & IT teams, Strong technical communication skills, Translate customer requirements, Technical and business stakeholders, Experience designing scalable cloud architectures, Integrating with enterprise systems, Comfortable with python, Familiarity with common LLM frameworks and tools, Background in machine learning or data science, Excitement for cross-organizational collaboration, Working through trade-offs, Balancing competing priorities, Love of teaching, mentoring, and helping others succeed, Excellent communication and interpersonal skills, Convey complicated topics in easily understandable terms, Diverse set of external and internal stakeholders, Passion for thinking creatively about how to use technology, Safe and beneficial, Advancing safe AI systems","baseSalary":{"@type":"MonetaryAmount","currency":"EUR","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":215000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_27b762b2-e1f"},"title":"Partner Solutions Architect, Applied AI","description":"<p>As a Partner Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP).</p>\n<p>You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities.</li>\n</ul>\n<ul>\n<li>Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment</li>\n</ul>\n<ul>\n<li>Customer Deal Support: Intervene 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; 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However, some roles may require more time in our offices.</li>\n</ul>\n<ul>\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>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.</p>\n<p>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, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<ul>\n<li>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. 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This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.</p>\n<p>Guidance on Candidates&#39; AI Usage: Learn about our policy for using AI in our application process</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_27b762b2-e1f","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/5112493008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Technical customer-facing/partner-facing roles","Solutions Architect","Sales Engineer","Partner Sales Engineer","Technical Account Manager","Cloud architectures","Enterprise systems","LLM frameworks","Machine learning","Data science"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:40:23.100Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical customer-facing/partner-facing roles, Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager, Cloud architectures, Enterprise systems, LLM frameworks, Machine learning, Data science"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_482331bc-ccc"},"title":"Solutions Architect, Applied AI (Industries)","description":"<p>As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. 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You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximise the value of our AI systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment</li>\n<li>Support customers building with both the Claude API and Claude for Work</li>\n<li>Create and deliver compelling technical content tailored to different audiences</li>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n<li>Native German speaker with fluent English proficiency</li>\n<li>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</li>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n<li>Comfortable with python</li>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders</li>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Annual salary: €190,000 - €200,000</li>\n<li>Education requirements: Bachelor&#39;s degree in a related field or equivalent experience</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</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</li>\n<li>We encourage you to apply even if you do not believe you meet every single qualification</li>\n<li>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from official company email addresses and never ask for payment or sensitive information</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_482331bc-ccc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4977624008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"€190,000 - €200,000","x-skills-required":["Solutions Architect","Sales Engineer","Technical Account Manager","Python","LLM frameworks and tools","Machine learning or data science"],"x-skills-preferred":["German","English","Cloud architectures","Enterprise systems"],"datePosted":"2026-03-08T13:53:25.400Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Solutions Architect, Sales Engineer, Technical Account Manager, Python, LLM frameworks and tools, Machine learning or data science, German, English, Cloud architectures, Enterprise systems","baseSalary":{"@type":"MonetaryAmount","currency":"EUR","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_31304363-4b5"},"title":"Partner Solutions Architect, Applied AI","description":"<p><strong>About the role</strong></p>\n<p>As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.</p>\n<p><strong>Responsibilities:</strong></p>\n<p><strong>Strategic Technical Partnership</strong></p>\n<p>Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. 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Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.</p>\n<p><strong>Product Feedback:</strong></p>\n<p>Validate and gather feedback on Anthropic&#39;s products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.</p>\n<p><strong>You may be a good fit if you have:</strong></p>\n<p><strong>5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager</strong></p>\n<p><strong>Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery</strong></p>\n<p><strong>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</strong></p>\n<p><strong>Strong presentation &amp; technical communication skills with the ability to translate requirements between technical and business stakeholders</strong></p>\n<p><strong>Experience designing scalable cloud architectures and integrating with enterprise systems</strong></p>\n<p><strong>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</strong></p>\n<p><strong>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</strong></p>\n<p><strong>A love of teaching, mentoring, and helping others succeed</strong></p>\n<p><strong>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</strong></p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</strong></p>\n<p><strong>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.</strong></p>\n<p><strong>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.</strong></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.</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, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale projects. 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You&#39;ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. 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You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<ul>\n<li>Collaborate across time zones with global teams while serving as the technical expert for the India market</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Comfortable with Python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<ul>\n<li>Ability to work effectively across cultures and time zones as part of a global team</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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We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p><strong>Your safety matters to us.</strong> 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.</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_fda8a5ef-e62","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5117581008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Solutions Architect","Sales Engineer","Technical Account Manager","Python","LLM frameworks and tools","Machine learning or data science"],"x-skills-preferred":["Cloud architectures","Enterprise systems","Technical communication","Cross-organizational collaboration"],"datePosted":"2026-03-08T13:49:46.942Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Solutions Architect, Sales Engineer, Technical Account Manager, Python, LLM frameworks and tools, Machine learning or data science, Cloud architectures, Enterprise systems, Technical communication, Cross-organizational collaboration"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5c88cf3a-287"},"title":"Partner Solutions Architect, Applied AI","description":"<p>As a Partner Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). 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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.</strong> 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. 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You&#39;ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with both the Claude API and Claude for Work</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences across Japan. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers across Japan integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Native-level Japanese fluency and business-level English required</li>\n</ul>\n<ul>\n<li>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Comfortable with python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</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.</strong> 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.</p>\n<p><strong>Your safety matters to us.</strong> 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, or banking information before your first day. If you&#39;re ever unsure about the authenticity of an email or a phone call, please don&#39;t hesitate to reach out to us directly.</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_5a59819a-59a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5076109008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Solutions Architect","Sales Engineer","Technical Account Manager","Japanese fluency","Business-level English","Experience working with enterprise customers","Complex buying cycles","Technical communication skills","Scalable cloud architectures","Enterprise systems","Python","LLM frameworks","Machine learning","Data science"],"x-skills-preferred":["Cross-organizational collaboration","Trade-offs","Balancing competing priorities","Teaching","Mentoring","Helping others succeed","Excellent communication and interpersonal skills","Passion for thinking creatively about how to use technology in a way that is safe and beneficial"],"datePosted":"2026-03-08T13:45:02.486Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Solutions Architect, Sales Engineer, Technical Account Manager, Japanese fluency, Business-level English, Experience working with enterprise customers, Complex buying cycles, Technical communication skills, Scalable cloud architectures, Enterprise systems, Python, LLM frameworks, Machine learning, Data science, Cross-organizational collaboration, Trade-offs, Balancing competing priorities, Teaching, Mentoring, Helping others succeed, Excellent communication and interpersonal skills, Passion for thinking creatively about how to use technology in a way that is safe and beneficial"}]}