Enterprise Account Executive
Anthropic
Enterprise Account Executive
Anthropic
Builds Claude AI models with a focus on safety
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.
As an Enterprise Account Executive based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's enterprise market. You'll own the full sales cycle from prospecting to close, working with C-level executives at major Japanese corporations to help them transform their businesses with Anthropic's AI solutions.
Own and exceed revenue targets by winning new enterprise accounts and expanding existing relationships across Japan
Build and execute territory plans, identifying high-value opportunities in key Japanese industries including financial services, healthcare, technology, and manufacturing
Lead consultative sales processes with C-suite and senior technical stakeholders, positioning AI as a strategic business transformation driver
Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver customized solutions for complex enterprise requirements
Identify new use cases and contribute to Japan go-to-market strategy, providing critical feedback to shape product roadmap and regional approach
Translate technical AI capabilities into compelling business value propositions tailored to Japanese market needs
8+ years of enterprise sales experience in Japan driving adoption of emerging technologies with a consultative, solutions-oriented sales approach
Native-level Japanese fluency and business-level English required
A track record of managing complex sales cycles and securing strategic deals in the Japanese market by understanding multifaceted technical requirements and crafting tailored solutions
Demonstrated ability to navigate Japanese enterprise stakeholder ecosystems, building consensus through relationship-building and providing innovative solutions to disparate groups
Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders in Japanese corporate environments
Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process
Excellent communication skills in both Japanese and English, with the ability to present confidently and build connections across all customer levels, from individual contributors to C-level executives
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments
A strategic, analytical approach to assessing Japanese markets combined with creative, tactical execution to capture opportunities in key industries
Deep understanding of Japanese business culture, enterprise buying processes, and regulatory landscape
A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely
Experience selling emerging technologies (AI/ML, cloud platforms, or data analytics) to Japanese enterprises
Established relationships with senior executives at major Japanese corporations
Experience navigating Japanese procurement processes and working with system integrators
Understanding of AI/ML concepts and ability to discuss technical architectures
Competitive base salary and commission structure commensurate with experience
Equity participation
Comprehensive benefits package
Hybrid work model with flexibility
Opportunity to shape the future of AI adoption in Japan
Access to cutting-edge AI technology and world-class research team
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren'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.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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. We think AI systems like the ones we'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.
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.
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'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 & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.
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