Business Development Representative - ASEAN at Dataiku

Singapore

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Not SpecifiedCompensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Data AnalyticsIndustries

Requirements

Strong interpersonal skills and excellent verbal and written communication
Relevant experience and proven success in sales or business development in the software/tech industry or in a startup
Organisational and project management skills with the ability to handle pressure and a high volume of tasks in a result-oriented environment
Highly analytical and understand the need to track everything you do
Interested in innovative issues such as Data Science and Predictive Analysis
Ability to understand the sales development process and technology stack and ensure its adoption
Results-driven, hands-on self-starter, motivated to constantly improve and optimise processes to drive performance

Responsibilities

Manage a large volume of daily inbound and outbound leads - connecting via phone, email and LinkedIn and qualifying them
Engage with Sales and Marketing executives to design, research and execute outbound vertical and/or geographical markets campaigns to grow sales pipeline in a dedicated territory
Work with Sales Executives to prospect and close large enterprise deals
Educate and nurture early-phase prospects for potential future opportunities
Demonstrate knowledge of Dataiku DSS and its value proposition and an understanding of the Big Data ecosystem to converse with data and business leaders from SMB to high-growth companies, to large multinationals in industries such as e-commerce, retail, bank, insurance, utilities, and transport
Analyse and report on weekly activities to identify potential optimisations

Skills

Business Development

Lead Generation

Prospecting

Sales Pipeline

Outbound Campaigns

LinkedIn Sales

Phone Sales

Email Outreach

CRM

Dataiku DSS

Big Data

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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