Driving AI Adoption in Enterprises
4 days ago
Transforming your enterprise with AI requires a strategic approach. Dataiku's Universal AI Platform empowers organizations to unlock their full potential by unleashing analytics, models, and agents that drive innovation.
As an experienced Enterprise Account Executive, you'll be at the forefront of shaping the future of AI. Your passion for new technologies and data-driven insights will help customers across various industries thrive in an extensive network.
This role entails engaging prospects and customers about their related initiatives to develop a more efficient approach, leveraging our platform. The Enterprise Account Executive is responsible for the entire sales cycle, utilizing company resources to reach successful collaborations with prospects.
Key Responsibilities:- Educate customers on the value of AI through thoughtful communication.
- Drive revenue through proactive outreach to existing customers.
- Provide tailored recommendations based on customer needs and usage patterns.
- Manage multiple customers simultaneously at various stages of the buying cycle.
- Develop C-Level vision matches with prospects and customers, fostering alignment across different groups and cultivating champions.
- Sell innovation and new concepts to large enterprises effectively.
- Handle inbound customer communication and escalate issues appropriately.
- Collect feedback to drive continuous improvement across all areas, including product development.
- 5-7 years' experience in software field sales or relevant sales experience.
- Background in selling innovation and new concepts to large enterprises.
- Strong ability to develop vision matches with prospects and customers, fostering alignment across different groups.
- Good articulation of competitive positioning.
- Domain expertise in big data, analytics, data science, BI/DW, data integration preferred.
- Advanced interpersonal communication skills and adaptability.
The momentum offers a unique opportunity to work cross-functionally with Marketing, Product Management, and Engineering.
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