About the role
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
We are looking for a Business Development Representative to join our growing team in Singapore. As a Business Development Representative you are responsible for driving Dataiku's business development activities. You must have the ability to understand the sales development process and technology stack and ensure its adoption. We are looking for a results-driven, hands-on self-starter, motivated to constantly improve and optimise the process to drive performance.
How You'll Make An Impact
- Manage a large volume of daily inbound and outbound leads - connecting via phone, email and LinkedIn and qualifying them
- Engage with our 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 our 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 your weekly activities to identify potential optimisations
What You'll Need To Be Successful
- Strong interpersonal skills and excellent verbal and written communication.
- You have relevant experience and proven success in sales or business development in the software / tech industry or in a startup.
- Able to demonstrate 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 as Data Science and Predictive Analysis
- Fluent in Bahasa is a massive Plus, with English and additional languages such as Thai.
#LI-CM
Aplyr's read
Dataiku stands out as a collaborative data science platform, attracting professionals who thrive on building AI and machine learning solutions for diverse industries.
What's promising
- •Dataiku's platform facilitates seamless collaboration among data teams, enhancing productivity.
- •The company is expanding globally, offering diverse opportunities in regions like LATAM and ASEAN.
- •Dataiku's focus on AI and machine learning positions it well in the growing data-driven decision-making market.
What to watch
- •The competitive landscape in data science platforms poses a constant challenge.
- •Rapid global expansion may strain existing resources and infrastructure.
- •Keeping up with fast-paced AI advancements requires continuous innovation and adaptation.
Why Dataiku
- •Dataiku offers a user-friendly interface that democratizes access to data science tools.
- •The platform's collaborative features are designed to integrate diverse team inputs effectively.
- •Dataiku supports a wide range of data sources, enhancing its versatility across industries.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Dataiku
Dataiku is a collaborative data science platform that enables organizations to build and deploy AI and machine learning solutions. By providing a user-friendly interface and powerful tools, Dataiku empowers teams to leverage data for better decision-making and operational efficiency.