Enterprise Account Executive
CrusoeSalary not specified
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise SoftwareIndustries
Requirements
Candidates must possess at least 10 years of experience in software field sales, a strong belief in a customer-centric selling philosophy, and a consultative approach to customer interactions. They should have a background in selling innovation and new concepts to large enterprises, along with the ability to develop a vision match with prospects and customers, fostering alignment and cultivating champions. Experience in ‘data’ – big data, analytics, data science, BI/DW, and data integration is desired, and early start-up experience is a plus.
Responsibilities
The Enterprise Account Executive will be responsible for the entire sales cycle, engaging prospects and customers about their related initiatives to help them develop a more efficient approach leveraging the Dataiku platform. They will collaborate with various company resources, including Marketing, Product Management, and Engineering, to achieve successful customer collaborations. The role involves traveling 30 to 50% of the time to connect with enterprise customers across a range of industries.
Skills
big data
analytics
data science
BI
Data Integration
customer-centric selling
consultative sales
competitive positioning
vision development
collaborative teamwork
technology enthusiasm
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.
Key Metrics
New York City, New YorkHeadquarters
2013Year Founded
$823.3MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
1,001-5,000Employees