
Sales Engineer - Japan
Required skills
Python
SQL
Machine Learning
Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
If you're ready to take your pre-sales career to the next level, the Dataiku Sales Engineering team would like to hear from you. Together, we've built a team that has closed some of Dataiku's most important sales with companies whose names you hear and products you use every day. We do it by working together to serve our Japanese customers in ways that ensure their success.
How you'll make an impact:
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Partner with sales representatives and sales managers to drive technical deal support
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Deliver clear value to customers through Dataiku demos, Q&A sessions, and support for product evaluations
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Collaborate with marketing and partners on pipeline-building activities, including event planning and on-site presentations
What you'll need to be successful:
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At least 10years of sales engineering experience with enterprise software products
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Experience in data, data science, analytics, or AI domains
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Ability to communicate effectively with stakeholders at all levels, from individual contributors to C-level executives
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Intellectual curiosity about technology
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Native-level Japanese and business-level English proficiency
Bonus points for any of these:
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Experience in startup or high-growth environments
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Experience with Python/R/SQL, machine learning, visualization and dashboard solutions, data storage, cloud infrastructure and other related technologies
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Passion for public speaking
What are you waiting for!
At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
*Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: *reasonable-accommodations@dataiku.com
Protect yourself from fraudulent recruitment activity
Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
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About Dataiku

Dataiku
Series EDataiku is a data science platform that enables organizations to build and deploy machine learning models and analytics workflows. The company provides tools for data preparation, modeling, and operationalization of AI applications.
501-1,000
Employees
New York
Headquarters
$4.6B
Valuation
Reviews
10 reviews
3.7
10 reviews
Work-life balance
3.2
Compensation
2.8
Culture
4.1
Career
2.5
Management
2.9
65%
Recommend to a friend
Pros
Supportive and collaborative team
Good work-life balance and flexibility
Access to training and development
Cons
High workload and overwhelming work
Compensation could be better
Management issues and poor communication
Salary Ranges
12 data points
Mid/L4
Senior/L5
Mid/L4 · Technical Account Manager II
1 reports
$292,140
total per year
Base
$225,493
Stock
-
Bonus
-
$292,140
$292,140
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