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- Tasks: Join us as a Senior Sales Engineer, applying cutting-edge big data technologies to real-world business challenges.
- Company: Dataiku is revolutionising AI with The Universal AI Platformâ„¢, empowering teams to harness their data skills.
- Benefits: Enjoy a collaborative culture, opportunities for personal growth, and the chance to work with top-tier clients.
- Why this job: Make a real impact in AI while working with innovative technology and diverse teams.
- Qualifications: 5+ years in data science, strong Python/R skills, and experience with cloud infrastructures required.
- Other info: Be part of a journey shaping the future of AI; your voice matters here!
The predicted salary is between 43200 - 72000 £ per year.
Dataiku is The Universal AI Platformâ„¢, 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.
We are looking for a Senior Sales Engineer to join our growing team in Germany. In this role, you will get hands-on experience applying the latest big data technologies to business use cases with companies whose names you hear and products you use every day. 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.
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!
Senior Sales Engineer employer: Dataiku
Contact Detail:
Dataiku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Sales Engineer
✨Tip Number 1
Familiarise yourself with Dataiku's platform and its features. Understanding how to leverage both low-code and full-code capabilities will help you articulate the business value of the software during interviews.
✨Tip Number 2
Brush up on your data science knowledge, especially predictive modelling and programming in Python or R. Being able to discuss these topics confidently will demonstrate your expertise and fit for the role.
✨Tip Number 3
Prepare to showcase your experience with cloud infrastructures like AWS, GCP, or Azure. Highlighting specific projects where you've used these technologies can set you apart from other candidates.
✨Tip Number 4
Practice explaining complex technical concepts to non-technical stakeholders. This skill is crucial for a Senior Sales Engineer, so being able to communicate effectively across different levels will be a big plus.
We think you need these skills to ace Senior Sales Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Sales Engineer position at Dataiku. Tailor your application to highlight relevant experiences in data science, sales engineering, and customer engagement.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with predictive modelling, programming in Python/R, and any work with cloud infrastructures like AWS, GCP, or Azure. Use specific examples to demonstrate your skills and how they relate to the job.
Showcase Communication Skills: Since the role involves interacting with both technical and non-technical stakeholders, make sure to illustrate your communication skills. Provide examples of how you've successfully conveyed complex technical concepts to diverse audiences in your previous roles.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for Dataiku's mission and the impact of AI. Mention why you're excited about the opportunity to contribute to their team and how your background aligns with their goals.
How to prepare for a job interview at Dataiku
✨Understand the Product
Before your interview, make sure you have a solid understanding of Dataiku and its Universal AI Platform. Familiarise yourself with its features, capabilities, and how it stands out in the market. This will help you articulate how your skills can contribute to the company's goals.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data science, predictive modelling, and programming in Python or R. Highlight specific projects where you've successfully applied these skills, especially in a sales or client-facing context, to demonstrate your technical prowess.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world scenarios. Think about how you would approach a Discovery meeting or a Proof-Of-Concept (POC) with a potential customer. Be ready to explain your thought process and how you would demonstrate the business value of Dataiku.
✨Communicate Effectively
Since you'll be interacting with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Show your ability to adapt your communication style based on your audience, which is crucial for a Senior Sales Engineer role.
