Dataiku

Customer Success Engineer, Middle East (Dubai)

Dubai
SQL Kubernetes Python R
Description

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. 

 

Delivering Customer Success is an important focus for Dataiku. As a Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. 

In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services  and Partners to accelerate end-user adoption.

How you’ll make an impact 

  • Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
  • Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. 
  • Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
  • Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. 
  • Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
  • Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
  • Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
  • Document and share the adoption status and key information to inform internal forecasting and renewal.
  • Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. 
  • When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. 
  • Stay current on Dataiku’s products, competitive landscape, and data science trends.
  • Willingness to travel up to 25%

What you’ll need to be successful

  • Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
  • English - fluent; Arabic is a big plus.
  • Minimum of two years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
  • Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
  • Strong technical, analytical, and problem-solving skills.
  • Experience in building and operating communities of practice.
  • Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
  • Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
  • Dataiku advanced designer, Snowflake SnowPro Core, and Databricks Business Analyst certifications preferred (not required).

What will make you stand out

  • Never-ending intellectual curiosity, detail-oriented and analytical.
  • Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
  • Knack for public speaking with an appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
  • Passion for technology, the data and analytics space, and enjoyment in learning new solutions, features, and functionalities, translating these into business value for customers.
  • Experience in Analytics/AI or other enterprise software (preferred but not required).
  • Experience in technical pre-sales or post-sales, preferably in a high-growth environment (preferred but not required).
 
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
Dataiku
Dataiku
Analytics Artificial Intelligence Data Integration Enterprise Software Machine Learning

0 applies

2 views

Similar Jobs

Software Engineer (Vancouver)

Remote Vancouver, British Columbia

DevOps Engineer

London, UK Remote Hybrid

Software Engineer, Datastores

Remote San Francisco, CA

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

60,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 401 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

To try it out

For active job seekers

For those who are passive looking

Cancel anytime

Frequently Asked Questions

  • We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
  • We've got about 70,000 jobs from 5,000 vetted companies. No fake or sleazy jobs here!
  • We aggregate jobs from 5,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
  • We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
  • Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
  • Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
  • Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅

What Fellow Engineers Say