AI-Driven Deal Desk Manager

Cloudflare

Denver (CO)

On-site

USD 134,000 - 184,000

Full time

7 days ago
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Benefits offered by this job

Medical/Rx Insurance
Dental Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Flexible Paid Time Off

Job summary

Cloudflare is seeking a Deal Desk Manager in Denver to architect our AI-driven deal desk and transition sales processes toward automated workflows. You will lead non-standard enterprise deals, balance velocity with long-term value, and partner with Legal, Finance, and Product to build scalable pricing and approvals.

You will apply deep knowledge of SaaS metrics, pricing, and revenue recognition to influence deal terms, optimize margins, and drive faster close cycles in a fast-paced fintech

Qualifications

  • 6–8+ years in Deal Desk, FP&A, Revenue Operations or similar roles.
  • Strong SaaS metrics, pricing, and financial concepts.
  • Experience drafting and negotiating contracts with revenue recognition focus.
  • Proficiency with data tools and AI-driven workflows.

Responsibilities

  • Orchestrate non-standard high-value enterprise deals with high judgment.
  • Act as Sales Co-pilot, using AI-driven data to optimize deal velocity and margins.
  • Tune enterprise deal approvals and automated agents for accuracy at scale.
  • Collaborate with Legal, Finance, Product to automate deal desk processes.
  • Champion AI integration to reduce deal cycle times and friction.

Skills

Deal Desk
FP&A
Revenue Operations
Strategic Influence
Data & AI literacy
Algorithmic thinking
Communication
Process automation

Job description

Cloudflare is seeking a Deal Desk Manager in Denver to architect our AI-driven deal desk and transition sales processes toward automated workflows. You will lead non-standard enterprise deals, balance velocity with long-term value, and partner with Legal, Finance, and Product to build scalable pricing and approvals.

You will apply deep knowledge of SaaS metrics, pricing, and revenue recognition to influence deal terms, optimize margins, and drive faster close cycles in a fast-paced fintech

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