Deal Desk Analyst

About Clay

Our mission is to help organizations turn any growth idea into reality.

We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration, especially in a world where AI rewards the teams who think differently. We're already helping thousands of customers — including Anthropic, Waste Management, Figma, and Ramp — go to market with unique data, signals, and AI research.

In 2025, we crossed $100M in revenue and raised a $100M Series C at a $3.1B valuation, backed by world-class investors including Sequoia, Capital

G, and First Round. We also completed our first employee tender offer and launched a community equity round, for our customers, agency partners, and club members.

• Our community includes 11,000+ customers, 150+ integration partners, 125+ agencies, and 50+ Clay clubs.
• Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.
• All employees can work for free with world-class coaches who specialize in creativity, management, and more.
• Our operating principles — including negative maintenance and non-attached action — guide our work.
• Read about us in the NYT, Forbes, First Round Review, and more.

Hear from our employees directly on our Glassdoor page!

We're looking for a strategic Deal Desk Analyst who combines deal structuring expertise with a passion for AI-driven process optimization. This role is critical in accelerating deal velocity through intelligent automation while ensuring compliance with company policies and maximizing deal value. You'll serve as a trusted advisor to sales teams, providing deal structuring guidance, pricing optimization, and contract negotiation support—all while leveraging AI tools and automation to scale our operations.

This is a high-impact role for someone who thrives in fast-paced environments and wants to directly influence revenue growth through strategic deal management and innovative process automation.

• Partner with GTME (Sales) and GS (CX) teams to structure non-standard and complex deals, ensuring alignment with company guidelines and revenue recognition policies.
• Review and approve deal terms, pricing, and discount structures within established approval matrices.
• Guide pricing negotiations, commercial terms, payment terms, and special provisions while maintaining margin targets.
• Collaborate with Legal, Revenue Operations, and Accounting to ensure deal compliance, accurate booking, and revenue recognition.

• Develop and maintain deal desk policies, guidelines, playbooks, and best practices documentation.
• Implement and optimize AI and automation tools for contract analysis, issue alerts, and automated decision support.
• Create dashboards and automated reporting systems on key metrics, including deal velocity, approval times, and discount trends.
• Facilitate pricing training and enablement for fast-growing GTME and GS teams.

• Bachelor's degree in Business, Finance, Economics, or related fields.
• 3-6 years of experience in deal desk, sales operations, finance, or a related analytical role.
• Proficiency in CPQ tools and CRM systems (Salesforce preferred).
• Advanced Excel/Google Sheets skills, including financial modeling and data analysis.
• Strong quantitative and analytical skills with exceptional attention to detail.
• Demonstrated ability to identify manual processes and design scalable automation solutions.
• Excellent communication skills with the ability to interact effectively with customer-facing teams and executives.
• Strong business acumen and understanding of sales processes.

• Experience with usage-based subscription business models.
• Familiarity with LLMs (GPT, Claude, etc.) and prompt engineering for business applications.
• Experience with automation tools (Zapier, Clay) or a strong interest in learning them.
• Knowledge of no-code/low-code platforms for building internal tools.
• Experience with contract lifecycle management (CLM) systems.
• Familiarity with revenue recognition principles (ASC 606).
• Understanding of legal and contractual terms.