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Home›Jobs›Dataiku›Senior Sales Engineer - Singapore
Dataiku

About Dataiku

Empowering organizations with AI-driven analytics

🏢 Tech👥 1001+ employees📅 Founded 2013📍 125 West 25th Street, 7th Floor, New York, NY 10001, USA💰 $847.6m⭐ 3.6
B2BArtificial IntelligenceEnterpriseAnalyticsMachine LearningSaaSData Analysis

Key Highlights

  • Headquartered in New York City with 1,000+ employees
  • $847.6 million raised in Series E funding
  • Major clients include Unilever, GE, and Comcast
  • Launched Dataiku 11 platform in 2022

Dataiku, headquartered in New York City, is a leading AI platform that empowers organizations to harness their data for analytics and AI model creation. With over 1,000 employees and $847.6 million in funding, Dataiku serves major clients like Unilever, GE, and Comcast. The company launched its Data...

🎁 Benefits

Dataiku offers a flexible hybrid work policy, allowing employees to work from the office 1-5 days a week, alongside a work-from-anywhere policy for up...

🌟 Culture

Dataiku fosters a culture centered around continuous innovation and community support. The company emphasizes collaboration between data experts and e...

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Dataiku

Senior Sales Engineer - Singapore

Dataiku • Singapore

Posted 13h agoSeniorSales engineer📍 Singapore
Apply Now →

Skills & Technologies

Data science

Overview

Dataiku is seeking a Senior Sales Engineer to leverage big data technologies and support sales opportunities. You'll collaborate with technical and non-technical stakeholders to demonstrate business value using Dataiku. This role requires a background in Data Science.

Job Description

Who you are

You have a strong background in Data Science and are comfortable learning new technologies while effectively communicating with both technical and non-technical stakeholders. With experience in sales engineering, you understand how to qualify deals and articulate business value to customers. You thrive in collaborative environments, working closely with Account Executives and Business Development Representatives to identify customer needs and technical requirements. Your ability to run your own opportunities while supporting your team with in-depth Data Science challenges sets you apart. You are passionate about applying the latest big data technologies to real-world business use cases, and you enjoy the challenge of demonstrating the value of analytics and AI solutions.

Desirable

Experience with big data technologies and a proven track record in sales engineering will enhance your candidacy. Familiarity with analytics platforms and the ability to design and execute projects using Dataiku will be beneficial. You are eager to engage with customers and help them understand how to leverage AI in their organizations.

What you'll do

As a Senior Sales Engineer at Dataiku, you will play a crucial role in qualifying deals and collaborating with the sales team to understand customer requirements. You will conduct discovery meetings to gather insights about the customer's business and technical environment, ensuring that you can effectively articulate usage scenarios that highlight the business value of Dataiku's solutions. Your hands-on experience with Dataiku will allow you to demonstrate its capabilities and help customers envision how they can leverage the platform to meet their needs. You will work closely with the opportunity team, acting as a sparring partner to address any Data Science challenges that arise during the sales process. Your role will involve designing projects that showcase the potential of Dataiku, ultimately driving customer engagement and satisfaction.

What we offer

At Dataiku, we provide a collaborative and innovative work environment where you can grow your skills and make a significant impact. You will have the opportunity to work with leading organizations and apply cutting-edge technologies to solve complex business problems. We value diversity and encourage you to apply even if your experience doesn't match every requirement. Join us in our mission to empower organizations to harness the power of AI and analytics.

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