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Snowflake

Runs a cloud platform for business data and AI

Senior Director - WW Deal Desk

Sales OperationsConfirmed live in the last 24 hours
Full-time$260k - $341.2k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in Business Administration, Finance, Economics, or a related field, or equivalent experience.
  • At least 15 years of experience across deal desk, procurement, sales finance, commercial finance, pricing, contract negotiation, or sales operations, including significant time leading global teams.
  • Deep experience structuring and negotiating complex enterprise contracts with long sales cycles.
  • Ability to read, interpret, and draft commercial terms and conditions.
  • Strong understanding of revenue recognition (ASC 606) and United States Generally Accepted Accounting Principles (US GAAP).
  • Strong knowledge of software-as-a-service and consumption-based business models, including commit, capacity, and usage-based pricing.
  • Demonstrated artificial intelligence proficiency, including hands-on experience applying generative artificial intelligence, large language model-based tools, or automation to finance, sales operations, or deal workflows, and a clear view of where artificial intelligence does and does not belong in governance-heavy processes.
  • Track record of designing and rolling out complex finance systems, processes, and tools, such as configure, price, quote (CPQ), contract lifecycle management (CLM), and customer relationship management (CRM) systems.
  • Ability to break down complex issues and explain them clearly to everyone from frontline sellers to the C-suite.
  • Excellent written and verbal communication, presentation, and executive stakeholder skills.
  • Comfort with ambiguity, high deal velocity, and quarter-end pressure, and motivation to help Sales win.

Responsibilities

  • Lead, scale, and develop a global team of Deal Desk professionals supporting Sales across all regions and time zones.
  • Advise Sales leadership on deal structure, pricing, discounting, and negotiation strategy for complex, high-value consumption and multi-year agreements.
  • Coordinate cross-functional input from Sales, Legal, Revenue Accounting, Finance, Services, Operations, Product, and Engineering to move deals efficiently from structure to signature.
  • Own deal review and approval governance to ensure deals follow company policies, revenue recognition requirements, and risk thresholds.
  • Partner with Finance, Legal, and Revenue Operations leadership to define and evolve policies, approval matrices, and deal processes, and drive their adoption across the field.
  • Define and report Deal Desk key performance indicators, including deal cycle time, approval service-level agreements, discount trends, and non-standard term usage, to give executives insight into deal health and commercial risk.
  • Lead the Deal Desk's artificial intelligence transformation by working with Data Analytics and Enterprise Technology to deploy artificial intelligence agents and copilots for deal structuring guidance, pricing recommendations, contract review and redlining, approval routing, and deal risk scoring.
  • Champion artificial intelligence adoption across the team, build artificial intelligence fluency, redesign workflows around automation, and measure the impact on productivity, cycle time, and deal quality.

Desired Qualifications

  • Track record of driving cross-functional alignment and managing strategic relationships across Sales, Legal, and Finance.
  • Proven experience designing deal approval governance and commercial risk mitigation frameworks.
  • Strong leadership in hiring, coaching, and developing talent across distributed global teams.
  • Experience leading artificial intelligence or automation programs that delivered measurable gains in efficiency or quality.
  • Familiarity with data platforms and analytics; Snowflake experience is a plus.
  • Master of Business Administration (MBA) or equivalent work experience.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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