About Anthropic
- 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.
About the role
- As an Enterprise Account Executive, Financial Services & Insurance based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's financial services and insurance organizations. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize operations, strengthen risk management, and enhance customer experiences with Anthropic's AI solutions.
Responsibilities
- Own and exceed revenue targets by winning new major FSI accounts and expanding existing relationships across Japan's banks, insurers, asset managers, and fintech companies
- Build and execute territory plans, identifying high-value opportunities across megabanks, regional banks, life and non-life insurers, and diversified financial groups
- Lead consultative sales processes with senior executives — including CIOs, CDOs, Chief Risk Officers, and compliance leaders — positioning AI as a driver for digital transformation, regulatory compliance, and improved customer experience
- Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that meet the stringent regulatory, security, and data governance requirements of the FSI sector
You may be a good fit if you have
- 8+ years of enterprise sales experience in Japan with significant exposure to financial services and insurance accounts, driving adoption of emerging technologies with a consultative, solutions-oriented approach
- A track record of managing complex, long-cycle sales processes and securing strategic deals with FSI organizations by understanding sector-specific regulatory and compliance frameworks and crafting compliant solutions
- Demonstrated ability to navigate FSI stakeholder ecosystems, building consensus across IT, risk, compliance, and business operations teams with multiple budget authorities and approval layers
- Proven experience exceeding revenue targets by effectively managing pipeline across the varying budget cycles and fiscal timelines of large financial institutions
- 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 identifying opportunities within Japan's FSI sector combined with patient, relationship-focused execution
- A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit
- Excellent communication skills in both Japanese and English
What We Offer
- Competitive base salary and commission structure commensurate with experience
- Equity participation
- Comprehensive benefits package
- Hybrid work model with flexibility
- Access to cutting-edge AI technology and world-class research team
How we're different
- 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.
