Role SummaryAs a Senior Enterprise Account Executive, you will lead net-new customer acquisition for large enterprises deploying AI at scale. This role is designed for a pure hunter who excels at creating demand in emerging AI categories and selling complex, consultative solutions where the problem and solution must be shaped together with the customer. You will work with Fortune 500 and large mid-market organizations building and operationalizing machine learning and generative AI systems, guiding senior technical and executive stakeholders through ambiguity.
Responsibilities:Net-new enterprise growth
- 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.
Consultative AI and data selling
- 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.
Complex deal leadership
- 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.
Executive and technical influence
- 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.
Internal collaboration
- Partner with solution architects and delivery teams to shape winning deals.
- Ensure a strong transition from sale to execution, setting accounts up for expansion.
RequirementsMust-have skills (required)
- 5+ years of enterprise sales experience selling AI platforms or ML tooling, data services, data operations, or AI consulting, or solutions that combine software and services.
- A demonstrated history of outbound-led pipeline creation.
- Experience selling into data, ML, or AI organizations, not just IT or procurement.
- Comfort selling solutions that evolve through discovery, pilots, and iteration.
- A track record of closing complex, high-value enterprise deals.
- Experience selling technology that supports model training, evaluation, observability, or deployment.
- Experience working in environments where humans remain a critical part of AI systems.
- A track record helping customers move from experimentation to production at scale.
- Experience selling alongside technical experts in highly consultative sales motions.
Academic and professional requirements
- Bachelor's degree in Business, Computer Science, or a related field, or equivalent practical experience.
Benefits- Great Mission and Culture
- Meaningful Work
- Market competitive salary
- Quarterly variable compensation
- Hybrid Working Model
- Comprehensive medical cover
- Group life insurance
- Personal development and growth opportunities
