At a Glance
- Tasks: Drive AI success by collaborating with teams and showcasing Dataiku's powerful solutions.
- Company: Join Dataiku, a leader in AI orchestration and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal growth.
- Other info: Diverse and inclusive workplace with a commitment to fairness.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: 5+ years in data science, strong communication skills, and a passion for tech.
The predicted salary is between 60000 - 80000 £ per year.
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.
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 Proofs-Of-Concept (POC) and evaluations through the coordination of resources and the 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 is preferred.
- 5+ years of experience with predictive modelling 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.).
- Comfortable 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!
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
Protect yourself from fraudulent recruitment activity. 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.
Sr Sales Engineer in London employer: Dataiku
Dataiku is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals eager to shape the future of AI. With a strong commitment to employee growth, Dataiku offers numerous opportunities for personal and professional development, alongside a diverse and inclusive work environment that values every individual's unique contributions. Located in a vibrant tech hub, employees benefit from engaging with leading companies while enjoying a supportive atmosphere that encourages creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Sales Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with potential employers on social media. The more people know you’re looking for a role, the better your chances of landing that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to Data Science and sales engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your skills and experiences.
✨Tip Number 3
Showcase your expertise! Create a portfolio or case studies that highlight your previous work in data science and how it’s delivered value. This will not only impress potential employers but also give you confidence when discussing your experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Sr Sales Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and data science shine through. We love candidates who are genuinely excited about the technology and its potential to solve real-world problems.
Tailor Your Experience:Make sure to highlight your relevant experience in data science, analytics, or big data. We want to see how your background aligns with the role of a Senior Sales Engineer, so don’t hold back on those key achievements!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your skills and experiences effectively.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Dataiku
✨Know Your Data Science Stuff
Brush up on your data science knowledge, especially predictive modelling and SQL. Be ready to discuss how you've applied these skills in real-world scenarios, as this will show your depth of understanding and ability to solve problems.
✨Understand the Customer's Needs
Before the interview, research common challenges faced by companies in the AI space. Prepare to articulate how Dataiku can address these issues, demonstrating your ability to connect the product's features with customer needs.
✨Practice Your Presentation Skills
Since you'll be demonstrating Dataiku's value, practice explaining complex concepts in simple terms. Use examples that highlight your experience and make sure you can confidently present a Proof-of-Concept (POC) to potential clients.
✨Engage with the Team
Show your collaborative spirit by discussing how you’ve worked with sales teams in the past. Highlight your experience in conducting Discovery meetings and how you’ve successfully partnered with Account Executives and Business Development Representatives.
