Overview
This role is responsible for building and running the organization’s Deal Desk for a usage-based Voice AI platform offering speech-to-text (STT), text-to-speech (TTS), and the Voice Agent API. The platform is sold through self-serve plans, enterprise commitments, and cloud marketplaces.
The Deal Desk is designed to help Sales win better deals faster at prices the organization can defend—not to act as a control function.
Responsibilities
- Build the Deal Desk framework including:
- Approval matrix
- Pre-approved deal playbook
- Credit and promo guidelines, designed so most deals require no approval
- Run the Deal Desk day to day by reviewing non-standard deals and providing same-day answers
- Shape large deals early by advising on:
- Commitment size
- Ramps
- Product mix
- Terms
- Partner with Product and Sales leadership on pricing and packaging
- Develop pricing and margin insight, including:
- Deal margin
- Realized discount
- Win rate by discount band
- Keep deals clean and audit-ready, ensuring approvals and terms are recorded in Salesforce
- Use AI to improve Deal Desk operations, including first-pass review support with human final decisioning and ongoing rule refinement
- Build out CPQ in Salesforce so the playbook and approvals live directly in the quote
- Support renewals in partnership with Customer Success initially, then progressively take ownership of renewals as the desk matures
Requirements
- 6+ years of experience in deal desk, deal strategy, or pricing in a B2B technology company, including 3+ years running a desk
- Usage-based pricing experience, including commitments, credits, overage, ramps, and rollover
- Demonstrated ability to create a deal desk, matrix, or playbook that Sales adopted
- Financial fluency, including how deal terms affect revenue recognition
- Hands-on experience building Salesforce CPQ, plus SQL
- Strong credibility with Sales executives, clear writing, and an AI-native approach to day-to-day work
Preferred Qualifications
- Experience with an infrastructure, API, or AI company
- Pre-IPO experience
- Experience with cloud marketplace private offers (AWS, GCP, Azure)
- Experience owning or running renewals
Compensation & Benefits
- Not provided in the source description
Location
- Not provided in the source description