AI Enterprise Account Executive

C
CloudFactoryAI, Machine Learning
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
Artificial IntelligenceMachine LearningAccount Management

Requirements

  • 5+ years of enterprise sales experience
  • Experience selling AI platforms or ML tooling
  • Experience selling data services, data operations, or AI consulting
  • Experience selling solutions that combine software and services
  • Demonstrated history of outbound-led pipeline creation
  • Experience selling into data, ML, or AI organizations
  • Comfort selling solutions that evolve through discovery, pilots, and iteration
  • Track record of closing complex, high-value enterprise deals
  • Sold technology that supports model training, evaluation, observability, or deployment
  • Worked in environments where humans remain a critical part of AI systems
  • Helped customers move from experimentation to production at scale
  • Sold alongside technical experts in highly consultative motions
  • Ability to guide senior technical and executive stakeholders through ambiguity

Responsibilities

  • Own new logo acquisition across a defined enterprise territory
  • Prospect into organizations actively building AI/ML capabilities
  • Engage buyers before requirements, budgets, or architectures are fully defined
  • Lead discovery across data readiness, model performance, risk, and scale
  • Help customers understand where AI systems break down in real-world deployment
  • Position CloudFactory as a strategic partner enabling reliable, production-ready AI
  • Run long, multi-stakeholder enterprise sales cycles from first contact to close
  • Orchestrate pilots, proofs of value, and phased rollouts
  • Navigate technical objections, internal politics, and executive alignment
  • Build credibility with Heads of Data, ML leaders, and AI teams
  • Translate deeply technical concepts into clear business and financial impact
  • Confidently discuss human-in-the-loop workflows, model evaluation, and data operations
  • Partner with solution architects and delivery teams to shape winning deals
  • Ensure a strong transition from sale to execution, setting accounts up for expansion
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