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- Tasks: Help customers solve technical issues with Dataiku's AI platform through various communication channels.
- Company: Dataiku is a pioneering AI company based in Paris, leading the way in making data actionable since 2013.
- Benefits: Enjoy remote work flexibility, a collaborative culture, and opportunities for personal growth.
- Why this job: Join a dynamic team shaping the future of AI while solving real-world technical challenges.
- Qualifications: 3+ years in a technical role, experience with cloud platforms, and proficiency in Python or R.
- Other info: Be part of a diverse team that values innovation and equal opportunity.
The predicted salary is between 28800 - 42000 £ per year.
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.
What to know about the Dataiku Support Team:
The Support organization is a fully remote team focused on enabling our customers and helping them work through any technical issues or questions related to our Everyday AI Platform (DSS). We are a rapidly scaling and globally distributed team, with members spanning 10+ countries and across 3 major continents. Our focus is to take our growth to the next stage by building out an enterprise-grade global support function.
How you’ll make an impact:
- Help EMEA and global customers solve their technical issues with Dataiku through a variety of communication channels.
- Communicate with our R&D team to solve complex issues and/or share feedback from our EMEA customers for future product improvement.
- Work with other customer-facing teams when escalating or rerouting issues to help ensure a proper and efficient/timely resolution.
- Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise.
- Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment.
What you’ll need to be successful:
- At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product.
- Experience with cloud platforms such as AWS, Azure, and GCP.
- Experience with Docker and Kubernetes.
- Collaborative and helpful mindset with a focus on always working as a team.
- A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors.
- Proficiency working with Unix-based operating systems.
- Experience with relational databases (or data warehouses like Snowflake) and SQL.
- Ability to read and write Python or R code.
What will make you stand out:
- Experience with big data technologies, such as Hadoop or Spark.
- Experience with authentication and authorization systems such as LDAP, SAML, and Kerberos.
- Experience with ML models and LLMs.
What does the hiring process look like?
- Initial call with a member of our Technical Recruiting team.
- Video call with the Technical Support Manager.
- Technical Assessment to show your skills (Home Test).
- Debrief of your Tech Assessment with Support Team member.
- Final Interview with the VP Technical Support.
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.
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.
Contact Detail:
Dataiku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Support Engineer - Remote
✨Tip Number 1
Familiarise yourself with Dataiku's Everyday AI Platform. Understanding its features and functionalities will not only help you during the interview but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your technical problem-solving skills, especially in areas like log analysis and debugging. Be prepared to discuss specific examples of how you've tackled complex technical issues in the past.
✨Tip Number 3
Network with current or former employees of Dataiku on platforms like LinkedIn. They can provide valuable insights into the company culture and the expectations for the Technical Support Engineer role.
✨Tip Number 4
Prepare for the technical assessment by practising relevant skills, such as working with cloud platforms and containerisation tools like Docker and Kubernetes. This will help you feel more confident and ready to showcase your abilities.
We think you need these skills to ace Technical Support Engineer - Remote
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Technical Support Engineer position. Familiarise yourself with Dataiku's Everyday AI Platform and the technical skills mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience, especially in client-facing engineering roles and your familiarity with cloud platforms, Docker, Kubernetes, and programming languages like Python or R. Use specific examples to demonstrate your problem-solving skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of Dataiku's mission. Mention how your background aligns with the company's goals and how you can contribute to their global support function.
Prepare for Technical Assessment: Since a technical assessment is part of the hiring process, brush up on your skills related to log analysis, debugging, and working with relational databases. Be ready to demonstrate your technical knowledge and problem-solving abilities during this stage.
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 Everyday AI Platform. Familiarise yourself with their mission, values, and the specific technologies they use. This will not only help you answer questions more effectively but also show your genuine interest in the company.
✨Prepare for Technical Questions
Given the technical nature of the role, be ready to discuss your experience with cloud platforms like AWS, Azure, and GCP, as well as your familiarity with Docker, Kubernetes, and SQL. Brush up on your problem-solving skills and be prepared to demonstrate your ability to analyse logs and debug issues.
✨Showcase Your Collaborative Mindset
Dataiku values teamwork, so be prepared to discuss examples of how you've worked collaboratively in previous roles. Highlight instances where you've successfully communicated with cross-functional teams or helped resolve customer issues through teamwork.
✨Ask Insightful Questions
At the end of your interview, take the opportunity to ask thoughtful questions about the team dynamics, the challenges they face, or the future direction of the support function. This shows that you're engaged and thinking critically about how you can contribute to their success.
