Account Executive - Enterprise

A
AI SquaredData, AI, Analytics
NYC & Chicago metro area(s), EST, PSTFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Experience
10+ years
Required Skills
LeadershipSQLArtificial IntelligenceBusiness DevelopmentBusiness IntelligenceCloud ComputingData AnalysisData MiningMachine LearningSalesforceCross-functional Team LeadershipTableauStrategyBusiness OperationsProduct AnalyticsData engineeringData scienceStrategic ManagementData visualizationSaaSAccount ManagementCRMData management

Requirements

  • 10+ years of enterprise sales experience with a strong record of closing large, complex deals
  • Preferably selling SaaS, data, AI, or analytics platforms
  • Proven ability to prospect, develop, and close enterprise level opportunities
  • Experience managing full cycle, multi stakeholder enterprise sales motions
  • Strong command of structured sales methodologies (MEDDICC, Challenger, Spin, etc.)
  • Executive level communication, presentation, and influence skills
  • Proven ability to navigate complex buying groups and long procurement cycles
  • Expertise in building business cases and articulating ROI at scale
  • Comfortable delivering executive-level demos and strategy sessions
  • Strong negotiation and closing abilities
  • Deep familiarity with SaaS models, multi-year contracts, and expansion planning
  • Advanced CRM, pipeline management, and forecasting capabilities
  • Ability to manage a small number of high-impact accounts with precision and discipline
  • Bachelor’s degree in business, marketing, or a related field; MBA is a plus

Responsibilities

  • Identify, qualify, and pursue large-scale enterprise opportunities
  • Diagnose enterprise challenges and align platform to business and technical objectives
  • Build deep relationships with C-suite and VP-level leaders
  • Develop and manage a strong, high-value pipeline
  • Execute strategic outreach including account-based selling
  • Lead all phases of multi-stakeholder, multi-month enterprise sales cycles
  • Monitor industry trends and account priorities to identify opportunities
  • Partner with marketing, product, and customer success teams
  • Maintain detailed activity, pipeline, and account information in CRM systems
  • Consistently meet or exceed enterprise quota targets
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