At a Glance
- Tasks: Join us as a Sales Engineer, applying cutting-edge AI tech to real-world business challenges.
- Company: Dataiku is a pioneering AI company, transforming data into actionable insights since 2013.
- Benefits: Enjoy a hybrid work model, innovative culture, and opportunities for personal growth.
- Why this job: Make a significant impact in the AI revolution while collaborating with top industry experts.
- Qualifications: 5+ years in data science or analytics, with strong communication skills and tech curiosity.
- Other info: We value diversity and are committed to equal opportunity in all employment practices.
The predicted salary is between 43200 - 72000 £ per year.
At Dataiku, we are not just adapting to the AI revolution, we are leading it. Since our beginning in Paris in 2013, we have 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 are 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.
We are looking for a Sales Engineer to join our team in London. 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 and an understanding of relational data structures and SQL. Programming in Python/R would be a bonus.
- 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 will be part of a journey to shape the ever-evolving world of AI. We are not just building a product; we are crafting the future of AI. If you are 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!
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.
If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com
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.
Sales Engineer -UK employer: Dataiku
Contact Detail:
Dataiku Recruiting Team
reasonable-accommodations@dataiku.com
StudySmarter Expert Advice 🤫
We think this is how you could land Sales Engineer -UK
✨Tip Number 1
Familiarise yourself with Dataiku's platform and its features. Understanding how to demonstrate the business value of their software will be crucial in your role as a Sales Engineer.
✨Tip Number 2
Brush up on your data science knowledge, especially predictive modelling and SQL programming. Being able to discuss these topics confidently will help you connect with both technical and non-technical stakeholders.
✨Tip Number 3
Network with professionals in the data science and analytics fields. Attend industry conferences or webinars to meet potential colleagues and learn more about the latest trends that could benefit your role.
✨Tip Number 4
Prepare for interviews by practising how to articulate complex technical concepts in simple terms. This skill is essential for engaging effectively with customers at all levels, from individual contributors to C-level executives.
We think you need these skills to ace Sales Engineer -UK
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the Sales Engineer position at Dataiku. Familiarise yourself with the responsibilities and required skills mentioned in the job description, especially around data science and technical pre-sales.
Tailor Your CV: Customise your CV to highlight relevant experience in data science, analytics, and any client-facing roles. Emphasise your familiarity with big data technologies and cloud infrastructures like AWS, GCP, or Azure, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and technology. Explain how your background aligns with Dataiku's mission and how you can contribute to their goals. Use specific examples from your past experiences to illustrate your points.
Showcase Communication Skills: Since the role involves interacting with both technical and non-technical stakeholders, demonstrate your communication skills in your application. Provide examples of how you've successfully conveyed complex information to diverse audiences in previous roles.
How to prepare for a job interview at Dataiku
✨Understand the Company and Its Products
Before your interview, take some time to research Dataiku and its AI platform. Familiarise yourself with their products and how they apply data science in real-world scenarios. This will help you articulate how your skills can contribute to their mission.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with predictive modelling, SQL, and programming in Python or R. Highlight specific projects where you've successfully applied these skills, especially in a sales or client-facing context.
✨Prepare for Discovery Meetings
Since you'll be conducting Discovery meetings, practice how to ask insightful questions that uncover customer needs. Think about how you can translate technical jargon into relatable terms for non-technical stakeholders.
✨Demonstrate Your Communication Skills
As a Sales Engineer, you'll need to communicate effectively with various levels of customer teams. Prepare examples of how you've successfully engaged with both technical and non-technical audiences in the past, showcasing your ability to adapt your communication style.