Senior Deal Desk Manager

📋 Description

• Own the strategic deal review process for Fin's largest enterprise opportunities, including non-standard pricing, multi-product bundles, multi-year commitments, and complex negotiation cycles.
• Partner directly with senior Sales leadership, Finance, Product, and Legal to structure enterprise deals that balance growth targets, margin goals, and long-term customer value.
• Design, implement, and continuously refine deal governance frameworks — including pricing guardrails, approval workflows, and escalation policies — that scale with the business.
• Lead the evolution of the quote-to-order process and CPQ tooling, driving automation and efficiency improvements that reduce enterprise sales cycle times and minimize friction.
• Translate complex deal data into clear commercial narratives and recommendations that inform executive decision-making, pricing strategy, and Go-to-Market planning.
• Identify and act on trends in enterprise deal flow, win/loss patterns, and pricing outcomes to proactively surface risks and opportunities to leadership.

🎯 Requirements

• Bachelor's Degree.
• 7+ years in Deal Desk, Revenue Strategy, or Sales Operations supporting enterprise sales in a high-growth SaaS or AI company.
• Proven track record owning end-to-end deal strategy for complex, high-value enterprise transactions — including multi-year, multi-product, and custom-structured agreements.
• Advanced Excel and modeling skills, including multi-scenario economics and sensitivity analyses.
• Strong commercial acumen and deep understanding of enterprise SaaS business models, pricing and packaging, and the quote-to-order lifecycle — with the ability to assess deal economics, evaluate risk, and make sound recommendations under pressure.
• Experience designing and scaling deal governance frameworks, policies, and playbooks.

🎁 Benefits

• Competitive salary and meaningful equity
• Comprehensive medical, dental, and vision coverage
• Regular compensation reviews - great work is rewarded!
• Unlimited access to Claude Code and AI tools; experimentation encouraged.
• Flexible paid time off policy
• Paid Parental Leave Program