New

Senior Sales Engineer

United States, Philadelphia

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 everyday. We do it by working together to serve our customers in ways that ensure their success.

In this role, you will get hands-on experience applying the latest big data technologies to business uses cases with companies whose names you hear and products you use everyday. Our ideal candidate is comfortable learning new technologies while being able to explain their work to both technical and non-technical stakeholders. 

You will be operating as a Senior Sales Engineer, with a background in Data Science. Running your own opportunities (together with the opportunity team) while acting as a sparring partner, supporting your team with any in-depth Data Science challenges or conversations on their opportunities.

How you'll make an impact:

  • Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management.
  • Conduct Discovery meetings and learn from the customer and the BDR about the customer's business requirements and technical environment.
  • Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer.
  • Use Dataiku to demonstrate the business value articulated in the usage scenarios.
  • Design projects and execute Dataiku demonstrations that clearly illustrate how to apply data science techniques within our software to deliver the required customer value.
  • Plan and execute Proof-Of-Concepts (POC), and evaluations through coordination of resources and co-development of data science projects with our prospective customers. Lead the combined team to carry out the agreed upon course of action to prove that Dataiku delivers the needed value better than our competitors.
  • Answer questions and provide technical guidance to the customer's technical team regarding the demonstrated solution.
  • Assist in sales pipeline building activities including attendance at live and/or virtual trade-shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management.

What you'll need to be successful:

  • Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems.
  • Experience in the data science, analytics, or big data markets preferred
  • 5+ years of experience with predictive modeling, programming in Python/R and an understanding of relational data structures and SQL 
  • Experience working with cloud infrastructures (AWS, GCP, Azure) 
  • Experience in Analytics/AI or other enterprise software
  • Experience in technical pre-sales or other client facing roles (consulting, etc.)
  • Comfortability talking to all levels of customer teams from individual contributors to C-level executives, and/or a passion for public speaking

#LI-Hybrid #LI-SW1

Compensation and Benefits

The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. 

Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.

US only national base pay ranges

$140,000 - $175,000 USD

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
 
 
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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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