Enterprise Customer Success Manager
Sigma Computing$132,000 - $165,000/year
- Full Time
- Expert & Leadership (9+ years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology, Software, Artificial Intelligence, Data & AnalyticsIndustries
Requirements
The Strategic Customer Success Manager requires at least 10 years of prior account management, customer success, or consulting experience, ideally within enterprise software or data science. Strong communication, presentation, and listening skills are essential, along with the ability to engage with stakeholders at all levels of an organization and across various departments, including business executives, data scientists, analysts, and IT professionals. A strong knowledge of the data science project lifecycle and a proven record of supporting organizations in their AI maturity curve are also necessary. Fluency in Spanish is a bonus, but not required.
Responsibilities
This role involves actively serving a portfolio of assigned accounts, including Fortune 500 organizations, and gaining an understanding of client’s use cases and desired business outcomes to help them achieve their goals via Dataiku’s software and services. The Strategic Customer Success Manager will provide guidance to customer organizations on how to leverage Dataiku to implement data science projects, implement customer engagement strategies such as Success Reviews and community events, leverage customer health analytics to identify expansion opportunities, and collaborate with the Sales team to ensure successful renewals and expand customer relationships. They will also translate business use cases into data science solutions and work with customers to provide value assessments and efficiency improvements.
Skills
Customer Success
Account Management
Stakeholder Engagement
Data Science
AI/ML
Business Analysis
Client Relationship Management
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