Enterprise Account Executive - Public Sector at Dataiku

Singapore

Dataiku Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Public Sector, TechnologyIndustries

Requirements

  • 8+ 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 public sector institutions
  • Familiar and experience with the Singapore public sector tender process
  • Extensive network in the Singapore public sector across all levels
  • 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 up to 30%
  • Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration
  • Passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across the Public Sector market in Singapore within an extensive network

Responsibilities

  • Engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging the Dataiku platform
  • Managing the entire sales cycle, leveraging various company resources, to reach a successful collaboration with the prospect
  • Working cross-functionally with Marketing, Partners, Product Management, and Engineering

Skills

Enterprise Sales
Software Sales
Public Sector Sales
Consultative Selling
Singapore Tender Process
Network Development
Customer Engagement
Sales Cycle Management
AI Platform Sales
Data Analytics Sales

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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