Snorkel AI
Deal Desk Manager
Redwood City, CA (Hybrid); San Francisco, CA (Hybrid) · Senior
Sponsorship not specified$160k-$240kDetected 37 days ago
LLMsSalesforceCRMSalesCadenceResearchLeadership
About the role
- This role sits at the intersection of sales execution, commercial strategy, and operational rigor.
Responsibilities
- Deal Structuring & Execution: Own the end-to-end deal process from pricing through execution.
- Partner with Sales to structure deals that align with pricing guidelines, discounting policies, and commercial standards
- Support the pricing and commercial sections of RFP/RFI responses in partnership with Sales and PMM
- Process Design & Optimization: Build the deal desk function and the operational infrastructure to support it.
- Design and implement scalable deal review and approval workflows, including escalation paths, SLA standards, and exception-handling frameworks
- Develop and maintain pricing guidelines, discount approval matrices, and deal structuring playbooks
- Systems & Data Integrity: Ensure the systems that support the deal lifecycle are accurate, reliable, and well-maintained.
- Own Salesforce hygiene related to deal and opportunity records, ensuring data accuracy across pricing, deal terms, approval status, and contract details
- Support Ironclad administration, maintaining contract workflows, templates, and clause libraries
Requirements
- 5-7+ years of experience in Deal Desk, Order Management, Sales Operations, or Revenue Operations at high-growth technology companies
- Strong working knowledge of CPQ, CRM (Salesforce), and CLM (Ironclad or similar) platforms
- Exceptional attention to detail paired with the ability to prioritize and move quickly in a high-volume environment
Skills
- Establish the operating cadence for deal review, including regular deal clinics or approval syncs with Sales and Finance leadership
Compensation
- Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
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This listing is sourced directly from Snorkel AI's careers page and normalized into a canonical job model.