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In this role, you will provide strategic legal advice on U.S. and international trade compliance matters, including economic sanctions administered by the Office of Foreign Assets Control (OFAC) and export controls administered by the Bureau of Industry and Security (BIS) and other regulatory bodies.</p>\n<p>You will play a critical role in shaping Anthropic&#39;s approach to trade compliance as we scale, advising on the development of robust compliance programs that support our mission to develop AI systems that are safe, beneficial, and understandable.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Provide legal counsel on U.S. and international sanctions and export control laws and regulations, including OFAC sanctions programs, the Export Administration Regulations (EAR), the International Traffic in Arms Regulations (ITAR), and other applicable trade control regimes</li>\n</ul>\n<ul>\n<li>Advise on the application of sanctions and export controls to Anthropic&#39;s products, services, business operations, and commercial transactions</li>\n</ul>\n<ul>\n<li>Support the development and maturation of Anthropic&#39;s sanctions and export controls compliance programs, including policies, procedures, and controls</li>\n</ul>\n<ul>\n<li>Partner with Integrity, Compliance, Security, Finance, People, and Operations teams to implement scalable trade compliance solutions as the company grows</li>\n</ul>\n<ul>\n<li>Advise on sanctions and export control considerations in customer and third-party transactions, including contract negotiations and due diligence</li>\n</ul>\n<ul>\n<li>Support customer-facing teams in addressing trade compliance queries from commercial partners and enterprise customers</li>\n</ul>\n<ul>\n<li>Monitor legal and regulatory developments in sanctions and export controls, and advise leadership on their implications for Anthropic&#39;s business</li>\n</ul>\n<ul>\n<li>Manage engagement and communications with relevant government agencies, including BIS, OFAC, and other authorities as needed</li>\n</ul>\n<ul>\n<li>Support internal investigations and voluntary disclosures relating to potential trade compliance matters</li>\n</ul>\n<ul>\n<li>Develop and deliver training to employees on sanctions and export control requirements</li>\n</ul>\n<ul>\n<li>Advise on the intersection of trade compliance and national security law in coordination with Anthropic’s national security legal counsel, including on matters where sanctions or export control considerations overlap with broader security concerns relating to frontier AI</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>A JD and active membership in at least one U.S. state bar</li>\n</ul>\n<ul>\n<li>At least 10-12 years of experience advising on U.S. sanctions and export control laws, with a strong understanding of OFAC sanctions programs, the EAR, and related regulatory frameworks</li>\n</ul>\n<ul>\n<li>Experience advising technology companies on trade compliance matters, 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The Anthropic Alliances team&#39;s function is to extend and accelerate adoption of Claude and its developer platform by recruiting and developing a portfolio of consulting, services, technology and selling partners. This role focuses on partners who are building Claude-first practices,typically smaller, more agile firms with deep AI implementation expertise. These partners deliver proof points, train the talent pool, and drive adoption velocity in the mid-market to complement our developing GSI relationships.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Be the face of Anthropic Alliances to our DACH/CEE emerging boutique partner ecosystem across AI-natives, specialist SIs and consultancies.</li>\n<li>Build and curate the partner portfolio to accelerate Claude adoption and service mid-market and enterprise customers.</li>\n<li>Identify, recruit, and onboard high-potential partners with genuine AI implementation capability.</li>\n<li>Partner with sales leaders to ensure business objectives are identified and met, with particular focus on deals where boutique agility and specialist expertise add value.</li>\n<li>Understand partners&#39; businesses, their technical depth, and their target customer segments.</li>\n<li>Drive structure and rigour in joint business planning and active pipeline development.</li>\n<li>Provide and coordinate sales and technical enablement, ensuring partners function as a seamless extension of our direct sales and Applied AI teams.</li>\n<li>Coordinate with the GSI-focused Partner Manager to ensure complementary coverage and avoid duplication.</li>\n<li>Review customer needs and coverage gaps to identify where to focus prospecting and partner capability development.</li>\n<li>Monitor market and industry trends to identify emerging partners and new areas of specialisation.</li>\n<li>Develop and deliver regular pipeline, lead, and activity reports attributing partner value.</li>\n<li>Be the &quot;voice of the partner&quot; to internal teams (product, sales, leadership),surface implementation patterns, product feedback, and competitive intelligence from the practitioners closest to the technology.</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 developing services partners, consulting partners, or specialist VARs in the AI, data, or enterprise software industry.</li>\n<li>Track record of building channel and partner motions from early stage and enabling partners who are themselves building new practices.</li>\n<li>Experience working with boutique consultancies and SIs; understanding of how smaller partners add value to complement GSIs.</li>\n<li>Experience managing an ecosystem across multiple countries, liaising with multiple distributed GTM teams.</li>\n<li>Demonstrated experience with technology products at an early stage of maturity, including APIs and platforms.</li>\n<li>Experience driving revenues across start-ups, digital native and mid-market.</li>\n<li>Very comfortable navigating a high degree of ambiguity and prioritizing work ruthlessly in an exceptionally fast-moving environment.</li>\n<li>Comfortable leveraging AI tooling to multiply impact and efficiency.</li>\n<li>Ability to work autonomously and in virtual teams.</li>\n<li>Willing and able to travel throughout the region.</li>\n<li>Fluent German. Other European languages are a plus.</li>\n</ul>\n<p><strong>Logistics</strong></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. Visa sponsorship: We do sponsor visas!</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 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. 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><strong>Come work with us!</strong></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 paid time off, and opportunities for growth and development.</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_8db2b46a-b4f","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/5164616008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Channel and partner development","AI implementation expertise","Sales enablement","Technical enablement","Partner management","Ecosystem management","Communication skills","Ambiguity tolerance","Prioritization","AI tooling","Virtual team collaboration","Fluent German"],"x-skills-preferred":["Experience working with boutique consultancies and SIs","Experience managing an ecosystem across multiple countries","Demonstrated experience with technology products at an early stage of maturity","Experience driving revenues across start-ups, digital native and mid-market"],"datePosted":"2026-04-18T16:00:19.084Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Channel and partner development, AI implementation expertise, Sales enablement, Technical enablement, Partner management, Ecosystem management, Communication skills, Ambiguity tolerance, Prioritization, AI tooling, Virtual team collaboration, Fluent German, Experience working with boutique consultancies and SIs, Experience managing an ecosystem across multiple countries, Demonstrated experience with technology products at an early stage of maturity, Experience driving revenues across start-ups, digital native and mid-market"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_da06ef8d-890"},"title":"Vendor and Contract Manager, Safeguards","description":"<p>As the Vendor and Contract Manager on the Safeguards team, you will own the end-to-end lifecycle of Anthropic&#39;s safety-critical vendor, partner, and consultant relationships , from identifying and selecting vendors through contract negotiation, onboarding, ongoing performance management, and renewal.</p>\n<p>The vendors and partners you&#39;ll manage span verification, threat intelligence, process outsourcing, capability evaluation, civil society consultation, and research collaboration. You&#39;ll build repeatable processes where they&#39;re needed while staying nimble enough to handle novel partnership structures, like research collaborations, civil society consultations, and model red-teaming engagements that don&#39;t fit neatly into standard procurement workflows.</p>\n<p>You&#39;ll work closely with legal, procurement, finance, and engineering teams, and you&#39;ll be the person who knows where every Safeguards contract stands, what we&#39;re spending, and where we should consider a change.</p>\n<p>This is a role for someone who&#39;s comfortable operating across commercial, legal, and technical contexts in a fast-moving environment , someone who can negotiate contract terms, work with legal teams to redline contracts, set up model access for a research partner, and handle a vendor performance issue in one day.</p>\n<p>*Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Vendor Selection &amp; Onboarding: Understand the broad vendor landscape for Safeguards and drive vendor selection processes with expert input, factoring in tradeoffs between capability, price, and internal resources across categories including verification, threat intelligence, process outsourcing, and capability evaluation</li>\n<li>Conduct vendor due diligence and coordinate security and data governance reviews for vendors handling sensitive model access or content</li>\n<li>Forecast future partnership needs and proactively research vendors and partners that could meet emerging Safeguards requirements</li>\n<li>Contract &amp; Budget Management: Manage contracts across the Safeguards vendor and partner portfolio, working with legal and procurement teams on contract redlining, negotiation, and execution</li>\n<li>Work with legal teams and potential research partners to develop novel agreements for research collaboration, civil society consultation, and model red-teaming</li>\n<li>Handle invoicing, payment, and renewal processes with partners</li>\n<li>Own Safeguards vendor budget tracking and planning in partnership with finance teams, maintaining a clear picture of current spend and forecasting future needs</li>\n<li>Ongoing Vendor &amp; Partner Management: Manage vendor and researcher access to models and products during testing phases and trials</li>\n<li>Oversee and monitor vendor performance and usage, flagging issues and resolving concerns and disputes as they arise</li>\n<li>Report on vendor performance, spend, and contract status to Safeguards leadership</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>5+ years in vendor management, procurement, or contract operations, ideally in risk, fraud, compliance, or trust &amp; safety contexts at a technology company</li>\n<li>Demonstrated experience reviewing and negotiating contracts, including comfort with redlining and working alongside legal counsel</li>\n<li>Track record managing vendor budgets, including forecasting, tracking spend, and making tradeoff recommendations</li>\n<li>Understanding of AI safety, account abuse, or platform integrity issues , you know what verification vendors, threat intelligence providers, and content screening tools actually do</li>\n<li>Experience onboarding vendors and standing up new vendor relationships from scratch, not just managing existing ones</li>\n<li>Strong cross-functional collaboration skills, particularly with legal, procurement, finance, and engineering teams</li>\n<li>Comfort with ambiguity and fast-moving environments , you&#39;ve built or significantly improved vendor management processes, not just inherited them</li>\n</ul>\n<p><strong>Nice to have:</strong></p>\n<ul>\n<li>Experience in AI safety or AI-adjacent vendor ecosystems</li>\n<li>Familiarity with procurement tools such as Ironclad or Zip</li>\n</ul>\n<p><strong>Logistics:</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</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. 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You will work with data systems from across Anthropic, including our research tools for privacy-preserving analysis.\\n\\nThe Economic Research team at Anthropic studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data that is clear-eyed about the economic effects of AI to help policymakers, businesses, and the public understand and navigate the transition to powerful AI.\\n\\nIn this role, you will work closely with teams across Anthropic,including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy,to build scalable and robust data systems that support high-leverage, high-impact research. Strong candidates will have a track record building data processing pipelines, architecting &amp; implementing high-quality internal infrastructure, working in a fast-paced startup environment, navigating ambiguity, and demonstrating an eagerness to develop their own research &amp; technical skills.\\n\\nResponsibilities:\\n\\n<em> Build and maintain data pipelines that process large scale Claude usage logs into canonical, reusable datasets while maintaining user privacy.\\n</em> Expand privacy-preserving tools to enable new analytic functionality to support research needs.\\n<em> Design and implement novel data systems leveraging language models (e.g., CLIO) where traditional software engineering patterns don&#39;t yet exist.\\n</em> Develop and maintain data pipelines that are interoperable across data sources (including ingesting external data) and are designed to support economic analysis.\\n<em> Contribute to the strategic development of the economic research data foundations roadmap\\n</em> Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure\\n<em> Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions\\n</em> Create documentation and best practices that enable self-serve data access for researchers while maintaining security and governance standards.\\n<em> Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission\\n\\nYou might be a good fit if you have:\\n\\n</em> Experience working with Research Scientists and Economists on ambiguous AI and economic projects\\n<em> Experience with building and maintaining data infrastructure, large datasets, and internal tools in production environments.\\n</em> Experience with cloud infrastructure platforms such as AWS or GCP.\\n<em> Take pride in writing clean, well-documented code in Python that others can build upon\\n</em> Are comfortable making technical decisions with incomplete information while maintaining high engineering standards\\n<em> Are comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization\\n</em> Have a track record of using technical infrastructure to interface effectively with machine learning models\\n<em> Have experience deriving insights from imperfect data streams\\n</em> Have experience building systems and products on top of LLMs\\n<em> Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders\\n</em> A passion for Anthropic&#39;s mission of building helpful, honest, and harmless AI and understanding its economic implications.\\n<em> A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.\\n</em> Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertise.\\n\\nStrong candidates may have:\\n\\n<em> Background in econometrics, statistics, or quantitative social science research\\n</em> Experience building data infrastructure and data foundations for research\\n<em> Familiarity with large language models, AI systems, or ML research workflows\\n</em> Prior work on projects related to labor economics, technology adoption, or economic measurement\\n\\nSome Examples of Our Recent Work\\n\\n<em> Anthropic Economic Index Report: Economic Primitives\\n</em> Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption\\n<em> Estimating AI productivity gains from Claude conversations\\n</em> The Anthropic Economic Index\\n\\nDeadline to apply: None. Applications are reviewed on a rolling basis\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary: $300,000-$405,000 USD\\n\\nLogistics\\n\\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\\nLocation-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.\\nVisa 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.\\n\\nWe 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.\\n\\nYour 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.\\n\\nHow we&#39;re different\\n\\nWe 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 small\\n</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_4fde2d89-11c","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/5071132008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["Python","Cloud infrastructure platforms (AWS or GCP)","Data infrastructure","Large datasets","Internal tools","Machine learning models","Econometrics","Statistics","Quantitative social science research","Large language models","AI systems","ML research workflows"],"x-skills-preferred":["Full-stack 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content strategy</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 7+ years of experience in B2B marketing, with a focus on enterprise technology or SaaS, and demonstrated expertise in one or more verticals within financial services or insurance</li>\n</ul>\n<ul>\n<li>Have a strong track record of developing and executing integrated marketing programs that have measurably driven pipeline and revenue in complex, enterprise sales cycles</li>\n</ul>\n<ul>\n<li>Understand the decision-making dynamics, regulatory considerations, and technology evaluation processes that are common in financial services organisations</li>\n</ul>\n<ul>\n<li>Are skilled at translating complex technical capabilities into compelling, audience-specific narratives , particularly for both technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Have experience collaborating closely with enterprise sales teams to align marketing strategy with deal-stage needs and pipeline 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You will work with data systems from across Anthropic, including our research tools for privacy-preserving analysis.\\n\\nThe Economic Research team at Anthropic studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data that is clear-eyed about the economic effects of AI to help policymakers, businesses, and the public understand and navigate the transition to powerful AI.\\n\\nIn this role, you will work closely with teams across Anthropic,including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy,to build scalable and robust data systems that support high-leverage, high-impact research. Strong candidates will have a track record building data processing pipelines, architecting &amp; implementing high-quality internal infrastructure, working in a fast-paced startup environment, navigating ambiguity, and demonstrating an eagerness to develop their own research &amp; technical skills.\\n\\nResponsibilities:\\n\\n<em> Build and maintain data pipelines that process large scale Claude usage logs into canonical, reusable datasets while maintaining user privacy.\\n</em> Expand privacy-preserving tools to enable new analytic functionality to support research needs.\\n<em> Design and implement novel data systems leveraging language models (e.g., CLIO) where traditional software engineering patterns don&#39;t yet exist.\\n</em> Develop and maintain data pipelines that are interoperable across data sources (including ingesting external data) and are designed to support economic analysis.\\n<em> Contribute to the strategic development of the economic research data foundations roadmap\\n</em> Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure\\n<em> Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions\\n</em> Create documentation and best practices that enable self-serve data access for researchers while maintaining security and governance standards.\\n<em> Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission\\n\\nYou might be a good fit if you have:\\n\\n</em> Experience working with Research Scientists and Economists on ambiguous AI and economic projects\\n<em> Experience with building and maintaining data infrastructure, large datasets, and internal tools in production environments.\\n</em> Experience with cloud infrastructure platforms such as AWS or GCP.\\n<em> Take pride in writing clean, well-documented code in Python that others can build upon\\n</em> Are comfortable making technical decisions with incomplete information while maintaining high engineering standards\\n<em> Are comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization\\n</em> Have a track record of using technical infrastructure to interface effectively with machine learning models\\n<em> Have experience deriving insights from imperfect data streams\\n</em> Have experience building systems and products on top of LLMs\\n<em> Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders\\n</em> A passion for Anthropic&#39;s mission of building helpful, honest, and harmless AI and understanding its economic implications.\\n<em> A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.\\n</em> Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertise.\\n\\nStrong candidates may have:\\n\\n<em> Background in econometrics, statistics, or quantitative social science research\\n</em> Experience building data infrastructure and data foundations for research\\n<em> Familiarity with large language models, AI systems, or ML research workflows\\n</em> Prior work on projects related to labor economics, technology adoption, or economic measurement\\n\\nSome Examples of Our Recent Work\\n\\n<em> Anthropic Economic Index Report: Economic Primitives\\n</em> Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption\\n<em> Estimating AI productivity gains from Claude conversations\\n</em> The Anthropic Economic Index\\n\\nDeadline to apply: None. Applications are reviewed on a rolling basis\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary: $300,000-$405,000 USD\\n\\nLogistics\\n\\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\\nLocation-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.\\nVisa 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.\\n\\nWe 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.\\n\\nYour 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.\\n\\nHow we&#39;re different\\n\\nWe 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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You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale.</p>\n<p>This role requires native-level Japanese and business-level English proficiency, as candidates will support both Japanese-speaking customers and those across APAC/ANZ in English.</p>\n<p>_Note: Specialists in Tokyo will work 10am - 6pm, Monday to Friday._</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Become an expert in all Anthropic products</li>\n<li>Respond to user support cases, in English and Japanese, with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses</li>\n<li>Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace</li>\n<li>Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical ‘pager duty’ during APAC hours to ensure 24/7 Support for Critical Queries.</li>\n<li>Prioritize critically and comfortably adapt to an ever-evolving product landscape</li>\n<li>Operate in ambiguity, making informed decisions even in never-before-seen situations</li>\n<li>Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale</li>\n<li>Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates</li>\n<li>Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have experience in providing technical product support, in both English and Japanese, within a second tier, escalated, or priority support team.</li>\n<li>Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease</li>\n<li>Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.)</li>\n<li>Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution</li>\n<li>Have crisp but kind written communication skills and a deep care for the details</li>\n<li>Enjoy helping others learn about new features and complex concepts</li>\n<li>Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward</li>\n<li>Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work. And particularly key for this role due to it being among the first Support hires in APAC.</li>\n<li>Are proficient at working in a technical environment and are interested in Anthropic’s products</li>\n<li>Possess a deep sense of ownership, and are excited to help us build our 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. 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 a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</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 research efforts. And we value impact — advancing our long-term goals</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_15844407-729","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/5138042008","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Japanese","English","APIs","Technical SaaS products","Technical documentation","User support","Customer service","Communication","Problem-solving","Analytical skills","Attention to detail","Time management","Prioritization","Adaptability","Ambiguity tolerance","Teamwork","Collaboration","Leadership","Ownership","Initiative"],"x-skills-preferred":["Machine learning","Artificial intelligence","Data analysis","Statistics","Programming languages","Software development","Cloud computing","Cybersecurity","Networking","Database management"],"datePosted":"2026-03-08T13:44:45.769Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Japanese, English, APIs, Technical SaaS products, Technical documentation, User support, Customer service, Communication, Problem-solving, Analytical skills, Attention to detail, Time management, Prioritization, Adaptability, Ambiguity tolerance, Teamwork, Collaboration, Leadership, Ownership, Initiative, Machine learning, Artificial intelligence, Data analysis, Statistics, Programming languages, Software development, Cloud computing, Cybersecurity, Networking, Database management"}]}