Account Executive - US

AiPrise
United States
Workplace: RemoteFull timeFunction: SalesExperience: 3-6 yearsSkills: ["Communication","Presentation","Negotiation"]

Account Executive for US-based SMB to enterprise sales in a compliance-focused SaaS platform. You will manage full sales cycles, conduct discovery and product demos, coordinate with compliance/legal teams, and drive strategic opportunities for US-based financial institutions and fintechs.

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FursaFursa
AiPrise
AiPrise
2 months ago

Account Executive - US

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Account Executive for US-based SMB to enterprise sales in a compliance-focused SaaS platform. You will manage full sales cycles, conduct discovery and product demos, coordinate with compliance/legal teams, and drive strategic opportunities for US-based financial institutions and fintechs.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Sales

Key Responsibilities

  • •Manage the entire sales process from initial contact through close.
  • •Prospect into target accounts while managing inbound opportunities.
  • •Conduct discovery, product demos, and pilots tailored to customer requirements.
  • •Coordinate compliance, procurement, and legal processes.
  • •Maintain accurate forecasts and CRM discipline.
Travel: Medium travel

Key Requirements

  • •3–6 years of full-cycle B2B SaaS sales experience.
  • •Proven success selling to financial institutions, fintechs, or marketplaces.
  • •Experience in identity verification, fraud prevention, or compliance software preferred.
  • •Strong communication, presentation, and negotiation skills.
  • •Willingness to travel for client and industry events.
Experience:3-6 yearsFintechFinancial servicesSaaSB2B
Skills:CommunicationPresentationNegotiation

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AiPrise
AiPrise develops AI-driven software and services to help businesses automate workflows, extract actionable insights from data, and enhance decision-making using machine learning models and system integrations across enterprise environments.
Industry: Enterprise Software
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