cursor - Deal Desk Manager, APJ
Responsibilities
• Own day-to-day deal desk support for the APJ sales team — pricing, deal structure, quoting, and approvals — in-region and in-time-zone • Serve as a strategic thought partner to reps on deal strategy: pricing guidance, competitive positioning, negotiation approach, and contract structure • Build and manage quotes and order forms in Salesforce CPQ / Ironclad, and keep deals moving cleanly through the approval and closing process • Coordinate cross-functionally with Legal, Finance, and Billing to get non-standard terms reviewed and closed without slowing deals down • Stand up and scale APJ deal desk processes — turning recurring rep questions and one-off asks into repeatable playbooks, approval paths, and enablement • Apply and help evolve our consumption-based pricing model, surfacing patterns from APJ deal flow back to the global team • You may be a fit if • You have ~4–8+ years of experience across deal desk, deal/revenue operations, commercial strategy, consulting, investing, or sales strategy — and you've owned outcomes, not just tasks • You've worked on enterprise B2B deals, ideally in SaaS or infrastructure, with hands-on exposure to pricing, negotiation, and contract structure • You've operated in a high-volume deal environment and have a track record of systematizing how you work — playbooks, processes, approval frameworks • You're highly analytical — comfortable sizing deals, modeling pricing scenarios and ROI in Excel, and grounding recommendations in data • You have a point of view and the ownership to drive it — you don't wait to be told what to think, and you operate with urgency and little hand-holding • You collaborate well across Sales, Finance, and Legal, and can hold the line on pricing and process without becoming a bottleneck • You're excited to help build a function in-region rather than inherit a finished one • You're based in Singapore and able to support the APJ region • Bonus: experience with consumption-based or usage-based pricing, or standing up a deal desk function in a fast-scaling environment
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