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present of AI is seeking a results-driven Velocity Account Executive for SMB, focusing on English-speaking customers in a fast-paced SaaS environment. You will own the full sales cycle from prospecting to closing, handling a high volume of outbound activity and rapid demos with technical buyers.
The role emphasizes discovery, trust-building, and precise messaging about integrations and APIs. You will work closely with a growing AI verification product line in a high-growth company.
A full cycle seller who builds their own pipeline through cold calls, emails and LinkedIn, then runs demos and negotiation to close many small deals quickly. Strong candidates have a few years of outbound closing in SaaS, comfort with high daily call volume, and enough technical ease to talk with buyers about APIs. Consistent quota hitting and sharp discovery skills matter more than polish.
How it fits the AI era
The product itself is about automated, fraud resistant verification, so the seller is pitching a tool that removes manual checks and blocks abuse in real time. AI shifts the work toward explaining how channel selection and fraud blocking behave, while the human parts stay in discovery, trust building and reading a buyer's real pain. High volume outreach may get more automated, so judgment about which prospects to pursue matters more.
How it builds AI experience
This role builds little hands on AI skill directly, but it offers a close view of how automated verification and fraud detection are sold to technical buyers. A candidate can grow by learning how the product's real time channel selection and spam blocking work and by practicing clear talk about APIs and risk. That grounding helps later in security or identity sales.
Worth showing
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Prelude
A trust and identity layer that replaces SMS one-time codes and CAPTCHAs with fraud-resistant signup checks, built by two engineers who say their old employer lost 30% of its verification budget to fraud.