Finance & Strategy, Deal Operations - APAC
AnthropicTokyo, JapanPosted 15 March 2026
Job Description
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, legal, and compliance teams to ensure our products reach customers to support Anthropic's rapid growth. Day-to-day, you'll quarterback complex deals through CPQ, contract management, and internal approvals. Over time, you'll also identify and drive improvements to the systems and workflows you operate in — embedding approved deal structures into Salesforce, improving CPQ configurations, and helping build the operational infrastructure that lets a lean team support enterprise deal volume at scale.
Responsibilities:
Quarterback deals through internal processes — CPQ quote-building, approval routing, contract execution — ensuring accurate, timely completion
Own Anthropic’s deal-making execution processes, ensuring that all commercial workflows can seamlessly navigate internal processes
Build AI-native tooling with internal teams to meaningfully scale our commercial processes
Optimize operational workflows that reduce friction in the sales cycle and accelerate time-to-close
Act as the bridge between Sales and supporting teams, maintaining contract and compliance management systems and ensuring agreement terms align with company standards
Maintain visibility on high-priority deals, providing appropriate escalation paths when commercial terms require executive input
Collaborate with Legal teams to validate that agreements reflect the correct commercial intent and approvals
Track and analyze deal patterns to identify bottlenecks and propose data-driven improvements to our sales operations
Maintain and improve deal documentation: approval policies, pricing guidelines, SKU guidance, and process playbooks
You may be a good fit if you:
Have 3+ years of experience in deal desk, sales strategy, commercial operations, or related roles, preferably in a high-growth technology environment
Are comfortable both executing within existing systems (CPQ, SFDC, contract platforms) and improving those systems as you go
Bring a detail-oriented, process-improvement mindset: you notice when something is manual or error-prone and you want to fix it
Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments
Strong project management skills with experience juggling multiple critical initiatives
Bias toward action and comfort operating in ambiguity
Have experience with CRM systems, CPQ tools, and contract management platforms
Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership
Strong candidates may also have:
Experience with Salesforce, CPQ tools (Nue, Apttus, Steelbrick), or contract management platforms (Ironclad, Docusign CLM)
Background in project management, sales strategy, or commercial operations, where you’ve balanced operational excellence with building scaled systems
Experience with deal operations at companies with subscription and/or 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
Requirements:
Strong communication skills
Business partnership (experience working with Sales teams)
Deep operational experiences
Systems and process optimization
Capable of building new AI-powered workflows
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience ... (truncated, view full listing at source)
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