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As an Enterprise Account Executive at Anthropic, you'll join the team introducing our cutting-edge AI productivity SaaS solution to large enterprise organisations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions.

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As the EMEA AE Lead, Beneficial Deployments at Anthropic, you'll build and lead a foundational sales team driving Claude adoption across mission-driven organisations in Europe, the Middle East, and Africa.

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You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market.

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As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organisations across Switzerland. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions.

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Location: Zurich (hybrid working available)

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About Anthropic

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

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About the role

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In this role, you'll lead a team of Account Executives driving the adoption of safe, frontier AI with top enterprises across Japan. This role is critical to Anthropic's APAC expansion.

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You'll leverage your leadership expertise to propel revenue growth while developing a high-performing team. Working closely with Applied AI Engineering, Product, GTM, and Marketing teams, you'll help enterprise customers deploy AI solutions and refine our market positioning for Japan.

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The ideal candidate will have a deep understanding of Japanese business culture, a passion for developing people, and the ability to navigate Japan's consensus-driven sales environment.

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Responsibilities:

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You may be a good fit if you have:

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Logistics

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Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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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.

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Visa sponsorship: We do sponsor visas! However, we aren'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.

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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're interested in this work.

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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're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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How we're different

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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 to do with data and experimentation as it does with theory and mathematics.

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