Deal Desk Manager, APAC
Singapore
Posted 9h ago
Job Location
Singapore
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
Cloudflare is seeking builders who are passionate about improving the internet and leveraging AI to create innovative solutions. The Deal Desk team plays a crucial role in the Finance function, acting as trusted advisors to internal stakeholders. We are building a data-centric and AI-augmented Deal Desk that uses predictive analytics and automated workflows to optimize pricing and streamline approvals, allowing for greater strategic focus. This role is based in Singapore.
Responsibilities
- Lead the structuring and execution of non-standard, high-value enterprise deals, balancing competitive differentiation with long-term business health.
- Develop creative financial models and custom discount strategies aligned with customer usage and corporate revenue goals.
- Serve as a strategic partner to Sales leadership, using data-driven insights and workflows to maximize deal velocity, improve LTV, and ensure accurate discovery.
- Analyze pricing and deal terms, leveraging AI insights to recommend optimal deal structuring and margin optimization.
- Drive consensus across internal stakeholders (Legal, Finance, Revenue Recognition, Compliance, Product) to negotiate commercial, financial, and legal terms.
- Manage the enterprise deal approval ecosystem by tuning automated agents and models for compliance and accuracy.
- Champion the integration of LLMs and generative AI tools to automate deal desk workflows and reduce deal cycle times.
- Identify bottlenecks and implement AI-powered productivity solutions.
- Partner with cross-functional teams to build, streamline, and automate deal desk processes, architecting autonomous approval workflows.
Requirements
- Minimum 8+ years of experience in Deal Desk, FP&A, Revenue Operations, or similar, with a proven track record supporting large-scale enterprise sales.
- 3+ years of direct deal desk experience preferred (deal analysis, deal governance, customer negotiation).
- Solid understanding of SaaS metrics, pricing models, and financial concepts (ARR, Gross Margin, churn, profitability).
- Experience with revenue recognition principles (e.g., ASC 606) is highly desirable.
- Experience selling software is a bonus.
- Experience drafting and interpreting commercial contracts, focusing on terms impacting revenue recognition and financial risk.
- Ability to analyze and recommend the best course of action for complex pricing and licensing situations.
- Proficiency in leveraging agentic workflows and prompt engineering for scaling influence, extracting insights, and automating tasks.
- Ability to understand and audit automated pricing models.
- Relentless focus on iterative automation and translating complex business policies into streamlined processes.