Senior Manager, Global Deal Desk
New
J
JobgetherB2B SaaS
Based in United StatesFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 10+ years of experience in Deal Desk, Sales Operations, Revenue Operations, Commercial Operations, Finance, or a related function, including at least 3 years of Deal Desk experience within B2B SaaS.
- Required Skills
- Project ManagementSalesforceSaaS
Requirements
- 10+ years of experience in Deal Desk, Sales Operations, Revenue Operations, Commercial Operations, or Finance.
- At least 3 years of Deal Desk experience within B2B SaaS.
- Demonstrated experience managing complex SaaS transactions including pricing, contracts, renewals, and non-standard arrangements.
- Proven track record of building or significantly scaling a Deal Desk or comparable commercial operations function.
- Strong understanding of SaaS quote-to-cash processes, ARR, and commercial economics.
- Strong Salesforce expertise.
- RevCloud or comparable CPQ/deal-management experience.
- Demonstrated ability to create scalable processes and governance frameworks.
- Strong project management capabilities and experience leading cross-functional process transformations.
- Ability to influence stakeholders and drive accountability without direct reporting authority.
Responsibilities
- Build and scale the Deal Desk operating model, including engagement criteria, approval frameworks, workflows, policies, and playbooks.
- Serve as the commercial quarterback for complex, strategic, and exception-based SaaS transactions, coordinating Sales, Legal, Finance, Revenue, and Customer Success.
- Review deal structures, pricing, discounts, products, billing requirements, contracts, and non-standard commercial terms.
- Establish controls and data standards with Sales Operations and Business Systems to ensure accuracy in Salesforce.
- Own Deal Desk and exception workflows within RevCloud, including approval routing and workflow optimization.
- Identify and lead process improvements and automation opportunities that increase efficiency and data quality throughout the quote-to-cash lifecycle.
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