About the role
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
We are looking for an Enterprise Account Executive to join our growing team in South Korea! This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform DSS. 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. He/She is likely to work cross functionally with Marketing, Product Management and Engineering.
How you'll make an impact:
- Educating customers on the value of Dataiku in a thoughtful way
- Driving revenue through proactive outreach to existing customers
- Providing recommendations based on a customer’s business needs and usage patterns
- Managing multiple customers simultaneously at various stages of the Dataiku buying cycle
- Strong ability to develop a C-Level vision match with prospects and customers, to develop alignment across different groups and cultivate champions
- Background in selling innovation and new concepts to large Enterprises
- Handling inbound customer communication and organizing/escalating issues appropriately, including: billing, legal, security, and technical inquiries
- Serving as the voice of the customer and collecting feedback to drive continuous improvement across all areas including product
- Other duties as assigned from time to time
What you'll need to be successful:
- 5-7 years’ experience in software field sales, or other relevant sales experience
- Background in selling innovation and new concepts to large enterprises
- 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
- Domain expertise in big data, analytics, data science, BI/DW, data integration preferred
- Possesses advanced interpersonal communication skills
- Is adaptable with a growth mindset
#LI-CM
Aplyr's read
Dataiku stands out as a collaborative data science platform, attracting professionals who thrive on building AI and machine learning solutions for diverse industries.
What's promising
- •Dataiku's platform facilitates seamless collaboration among data teams, enhancing productivity.
- •The company is expanding globally, offering diverse opportunities in regions like LATAM and ASEAN.
- •Dataiku's focus on AI and machine learning positions it well in the growing data-driven decision-making market.
What to watch
- •The competitive landscape in data science platforms poses a constant challenge.
- •Rapid global expansion may strain existing resources and infrastructure.
- •Keeping up with fast-paced AI advancements requires continuous innovation and adaptation.
Why Dataiku
- •Dataiku offers a user-friendly interface that democratizes access to data science tools.
- •The platform's collaborative features are designed to integrate diverse team inputs effectively.
- •Dataiku supports a wide range of data sources, enhancing its versatility across industries.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Dataiku
Dataiku is a collaborative data science platform that enables organizations to build and deploy AI and machine learning solutions. By providing a user-friendly interface and powerful tools, Dataiku empowers teams to leverage data for better decision-making and operational efficiency.
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