Enterprise Account Executive - Philippines at Dataiku

Singapore

Dataiku Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Data Analytics, Enterprise SoftwareIndustries

Requirements

  • At least 5-8 years experience in software field sales in the Philippines market
  • Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions
  • Proven record in selling into Philippines market based out of Singapore
  • Extensive network 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%
  • Desired: Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration
  • Desired: Ability to speak Tagalog is an advantage

Responsibilities

  • Responsible for the entire sales cycle, leveraging various company resources, to reach a successful collaboration with the prospect
  • Engaging prospects and customers in Philippines about their related initiatives to help them develop a more efficient approach, leveraging the Dataiku platform
  • Express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network
  • Work cross-functionally with Marketing, Partners, Product Management and Engineering

Skills

Software Sales
Field Sales
Enterprise Sales
Consultative Selling
Customer Centric Selling
Big Data
Advanced Analytics
Competitive Positioning
Account Management
Sales Cycle 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

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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