Enterprise Account Executive, Philippines

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.

Dataiku is looking for an experienced Enterprise Account Executive, Philippines, to join our team in Singapore! Since the launch of our company, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion.

We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network. This role consists of engaging prospects and customers in the Philippines about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku.

The Enterprise Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. Dataiku has great momentum and at this early stage, the Account Executive is likely to work cross functionally with Marketing, Partners, Product Management and Engineering.

You might be a good fit if you have:

• At least 5-8 years experience in software field sales in the Philippines market


• Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions


• Proven record in selling into Philippines market based out of Singapore


• Extensive network across all levels


• Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions


• Good articulation of competitive positioning


• Comfortable traveling up to 30%


• Desired Skills Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration.

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