Enterprise Account Executive at Dataiku

Seoul, South Korea, South Korea

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data Analytics, AIIndustries

Requirements

15+ years experience in software field sales
Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions
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
Comfortable traveling 30 to 50%
Desired: Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration

Responsibilities

Engage prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging the Dataiku platform
Manage the entire sales cycle, leveraging various company resources, to reach successful collaborations with prospects
Work cross-functionally with Marketing, Product Management, and Engineering

Skills

Key technologies and capabilities for this role

Enterprise SalesAccount ExecutiveConsultative SellingBig DataAnalyticsData ScienceBIData IntegrationCustomer Centric Selling

Questions & Answers

Common questions about this position

What experience level is required for this Account Executive role?

The role requires 15+ years of experience in software field sales.

Is this a remote position or does it require office work?

The position is hybrid, as indicated by the #LI-Hybrid tag.

What are the key skills needed for this Enterprise Account Executive position?

Key skills include a customer-centric selling philosophy with a consultative approach, background in selling innovation to large enterprises, ability to develop vision alignment and cultivate champions, strong competitive positioning, and experience in data-related fields like big data, analytics, and data science.

What is the travel requirement for this role?

The role requires comfort with traveling 30 to 50%.

What does Dataiku's company culture emphasize?

Dataiku values innovation, collaboration, personal growth, customer-centric approaches, diversity as a source of strength, and treating everyone with dignity, decency, and fairness.

Dataiku

AI solutions for operationalizing business processes

About Dataiku

Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have proven effective, as demonstrated by their work with a retail client that improved forecast runtime by 900% with high accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing their service offerings and scalability for clients.

New York City, New YorkHeadquarters

2013Year Founded

$823.3MTotal Funding

SERIES_FCompany Stage

Data & Analytics, AI & Machine LearningIndustries

1,001-5,000Employees