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Legion

AI-driven labor forecasting and scheduling

Senior Deal Desk Manager

Sales OperationsPosted on Nov 13
Full-timeRemote in USA

About the Job

Requirements

  • At least 8 years of experience in Deal Desk, Revenue Operations, or Sales Operations within B2B SaaS companies, including at least 3 years owning Deal Desk operations end to end.
  • Demonstrated experience building Deal Desk processes from the ground up at an early-stage or growth-stage company, including the ability to explain what was built, in what order, and what would be done differently.
  • Hands-on experience using AI tools such as Claude, ChatGPT, Copilot, or Agentforce to automate real Deal Desk or Revenue Operations work, with an example to share.
  • Hands-on experience structuring and contracting international SaaS deals across multiple regions, currencies, and legal entities.
  • Deep expertise in SaaS pricing, including subscription, usage-based, consumption-based, and hybrid models, as well as discount governance and contracting best practices.
  • Experience implementing CPQ and CLM systems, with strong modeling skills in Excel or Google Sheets.
  • Ability to influence without authority across Sales, Finance, Legal, and executive leadership, including declining requests from senior sellers while preserving the relationship.

Responsibilities

  • Own deal structuring for complex new business, expansion, and renewal deals, partnering with sales leaders on creative structures that protect margin and policy.
  • Own the approval matrix, discount guardrails, non-standard terms policy, and service-level agreements, with accountability for approval cycle time and quote accuracy.
  • Support global deals end to end, including multi-currency pricing, multiple contracting entities, regional terms and tax considerations, and approval cycles spanning time zones.
  • Partner with Legal and Finance on contract standards, regional contracting requirements such as data protection terms, local entity paper, and currency and foreign-exchange policy, revenue recognition alignment, and the order-to-cash handoff.
  • Design Deal Desk workflows with AI at the core, such as automated deal pre-screening against pricing and packaging policy, AI-generated deal summaries for approvers, and AI-assisted redline review against Legal’s playbook.
  • Build and iterate working tools, including pricing calculators, quoting tools, and approval automations, using AI-assisted development.
  • Set guardrails for AI in deal workflows, including human-in-the-loop approvals, appropriate data handling, and a clear audit trail.
  • Own and evolve the quoting and contracting stack (CPQ, CLM, and DocuSign) with Salesforce as the system of record, including in-house tools, and ensure workflows handle currencies, entities, and regional templates without manual workarounds.
  • Develop reporting and dashboards that give Sales, Finance, and executive leadership visibility into discount trends, packaging adherence, approval turnaround times, and automation impact.
  • Present deal analysis and insights directly in executive pricing reviews and forecast discussions.
  • Partner closely with RevOps, Product Marketing, and Finance to operationalize pricing and packaging changes, building the deal calculators, edge-case rules, and sales playbooks that bring new pricing to life in the field.

Desired Qualifications

  • Experience launching AI, agentic, or data product SKUs, or partner and marketplace deal structures.
  • Advanced proficiency with Salesforce CRM.
  • Experience in workforce management (WFM), human capital management (HCM), or enterprise SaaS selling to retail, hospitality, or healthcare.
  • Flexibility to cover urgent deal approvals across time zones, especially at quarter-end.

About the Company

Legion

AI-driven labor forecasting and scheduling

Legion builds a workforce management platform for hourly workers. It uses a proprietary WFM system to forecast demand across locations and automatically generate granular schedules, with a self-learning engine that adapts over time. Its edge comes from combining automated scheduling with employee engagement tools like flexible gig-style schedules, self-service, earned wage access, and rewards, all in one platform. The goal is to help businesses run labor operations more efficiently while improving satisfaction and productivity for the hourly workforce.

Company size
201-500
Company stage
Late Stage VC
Total funding
$185.5M
Headquarters
Redwood City, CA
Founded
2016

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