AI Hiring Index

Anthropic · Go-to-market · Senior · Posted 2026-09-25

Finance & Strategy, Deal Desk - APAC

Anthropic · Tokyo, Japan

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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

You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships.

Key responsibilities

Financial Analysis: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making

Deal Structure Optimization: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests

Deal Review and Approval Management: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications

Cross-Functional Coordination: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals

Risk Assessment: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders

Policy Implementation: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives

Process Development: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls

Documentation and Reporting: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance

Minimum qualifications

Have 5+ years of experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment

Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals

Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments

Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows

Have experience with CRM systems, CPQ tools, and contract management platforms

Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail

Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership

Preferred qualifications

Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles

Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking

Experience with deal desk operations at companies with subscription and consumption-based business models

Knowledge of enterprise software contract terms and industry-standard commercial practices

Understanding of AI business models and the unique commercial considerations

Logistics

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 r …

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