About this role
Complex enterprise transactions stall when manual approval bottlenecks slow down sales and obscure margin risks. This hire will solve that friction by architecting an AI-driven deal desk that automates routine workflows and uses predictive analytics to optimize pricing in real time.
Operating within the finance organization, the manager acts as a strategic deal architect and sales co-pilot for high-value accounts. Responsibilities include structuring creative financial models, guiding cross-functional consensus across legal and product teams, and tuning LLMs to handle enterprise approvals at scale.
Ideal candidates bring a blend of financial acumen and AI-native curiosity, preferring iteration and automated logic over rigid bureaucracy. Someone who thrives in this environment enjoys partnering directly with sales leadership to balance risk tolerance with long-term revenue growth.
What you will do
- Lead the structuring and execution of complex, non-standard enterprise deals to balance competitive differentiation with corporate revenue health.
- Partner with sales leadership as a strategic co-pilot to maximize deal velocity, improve lifetime value, and align custom discounts with corporate goals.
- Drive consensus across legal, finance, and product stakeholders to negotiate viable compromises on commercial, financial, and legal terms.
- Manage the enterprise approval ecosystem by tuning automated agents and models to ensure compliance and accuracy at scale.
- Champion the integration of LLMs and generative AI tools to automate deal desk workflows and reduce deal cycle times.
- Build streamlined and autonomous approval workflows in partnership with cross-functional teams to eliminate operational friction.
What you need
- Bring a minimum of eight years of experience in deal desk, FP&A, revenue operations, or a similar function supporting large-scale enterprise sales motions.
- Possess a solid understanding of SaaS metrics, pricing models, ARR, gross margin, churn, and profitability concepts.
- Demonstrate experience drafting and interpreting commercial contracts with a focus on revenue recognition and financial risk.
- Show proficiency in leveraging agentic workflows, prompt engineering, and automated pricing models to scale operational efficiency.
- Exhibit a proven ability to navigate complex cross-functional negotiations and communicate financial data to executive stakeholders.
Nice to have
- Three years of direct deal desk experience involving deal analysis, governance, and customer negotiation
- Experience with revenue recognition principles such as ASC 606
- Previous experience selling software
Skills and tech stack
Questions candidates ask
Where is this role located?
This position has an available location in Singapore.
What is the primary focus of the deal desk team?
The team serves as a trusted advisor to internal stakeholders as a deal architect working on structuring, negotiating, approving, and closing large complex commitment deals. They are committed to building a data-centric and AI-augmented deal desk that leverages predictive analytics and automated workflows.
What data and AI literacy skills are required?
Candidates need proficiency in leveraging agentic workflows and prompt engineering to scale influence, extract insights from large datasets, and automate repetitive operational tasks. They also need the ability to understand and audit automated pricing models to ensure alignment with long-term company goals.