Emerging Enterprise Account Executive at Dataiku

New York, New York, United States

Dataiku Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI, Data AnalyticsIndustries

Requirements

  • 3-5 years’ experience in software field sales, or other relevant sales experience
  • Background in selling innovation and new concepts to emerging 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)
  • Advanced interpersonal communication skills
  • Adaptable with a growth mindset

Responsibilities

  • 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
  • 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
  • Managing the entire sales cycle, leveraging company resources to reach successful collaboration with prospects
  • Working cross-functionally with Marketing, Product Management, and Engineering
  • Other duties as assigned from time to time

Skills

Software Sales
Enterprise Sales
Big Data
Analytics
Data Science
BI
Data Warehouse
Data Integration
Customer Relationship Management
Revenue Growth

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

Benefits

Health, life & pension benefits
Equity
Time off for R&R
Public holidays
Work from anywhere policy (unique to team)
12 weeks of paid parental leave
Volunteering opportunities
Career Development opportunities
Technology stipend
Onsite meals & healthy snacks
Office happy hours
Company-wide events

Risks

Competition from AI platforms like Databricks may impact Dataiku's market share.
High costs of generative AI initiatives could strain client budgets.
Reliance on partnerships poses risks if collaborations face challenges.

Differentiation

Dataiku offers a centralized platform for enterprise AI and data analytics.
The company integrates with AWS, enhancing connectivity and scalability for clients.
Dataiku's LLM Guard Services ensure controlled Generative AI rollouts.

Upsides

Dataiku's partnership with Rower Consulting expands its reach in the pharmaceutical sector.
Recognition in Gartner's Magic Quadrant boosts Dataiku's credibility in AI solutions.
Dataiku Stories enhances user engagement with Generative AI-powered presentations.

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