At a Glance
- Tasks: Collaborate with teams to demonstrate AI solutions and drive customer success.
- Company: Join Dataiku, a leader in AI technology and an inclusive employer.
- Benefits: Diverse workplace, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team committed to diversity and innovation.
- Why this job: Make a real impact by helping businesses harness the power of AI.
- Qualifications: 5+ years in data science, strong communication skills, and tech-savvy.
The predicted salary is between 60000 - 80000 £ per year.
This job is with Dataiku, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. 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 partners on campaign design and execution and other activities specified by sales and pre‑sales management.
- 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, we are committed to diversity, equity, and inclusion. We believe everyone should be treated with dignity, decency, and fairness. Dataiku is 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 protected category. 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, and will not ask you to make purchases or download third‑party applications.
Sr Sales Engineer employer: myGwork - LGBTQ+ Business Community
Dataiku is an exceptional employer that champions diversity, equity, and inclusion, making it a welcoming environment for all employees. With a strong focus on employee growth, Dataiku offers opportunities to engage in cutting-edge AI technology while collaborating with top-tier professionals in the field. Located in a vibrant tech hub, the company fosters a culture of innovation and teamwork, ensuring that every team member can contribute meaningfully to the success of both clients and the organisation.
Contact Details:
myGwork - LGBTQ+ Business Community Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Sr Sales Engineer
✨Tip Number 1
Get to know the company inside out! Research Dataiku's products, values, and recent news. This will help you tailor your conversations and show genuine interest during interviews.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give us insights into the company culture and even lead to referrals.
✨Tip Number 3
Prepare for technical discussions! Brush up on your data science knowledge and be ready to discuss how you've applied it in real-world scenarios. This will showcase your expertise and fit for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining the Dataiku team!
We think you need these skills to ace Sr Sales Engineer
Some tips for your application 🫡
Show Your Passion for Data Science:When writing your application, let your enthusiasm for data science shine through! We want to see how your curiosity drives you to solve problems and how you can apply technology in innovative ways.
Tailor Your Experience:Make sure to highlight your relevant experience in data science, analytics, or big data. We’re looking for specific examples that demonstrate your skills, especially in predictive modelling and cloud infrastructures like AWS or Azure.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your achievements and how they relate to the role of a Senior Sales Engineer. We appreciate clarity as much as we value creativity!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity at Dataiku.
How to prepare for a job interview at myGwork - LGBTQ+ Business Community
✨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 expertise and ability to solve problems using Dataiku.
✨Understand the Customer's Needs
Before the interview, research common challenges faced by businesses in the AI and analytics space. Prepare to articulate how Dataiku can address these issues, demonstrating your understanding of the customer's business requirements and technical environment.
✨Showcase Your Communication Skills
As a Senior Sales Engineer, you'll need to communicate complex ideas clearly. Practice explaining technical concepts in simple terms, and be prepared to engage with various stakeholders, from individual contributors to C-level executives.
✨Prepare for Demonstrations
Think about how you would design a project or execute a demonstration using Dataiku. Be ready to discuss specific usage scenarios that illustrate the business value of the platform, as this will highlight your ability to connect technical solutions with customer needs.