At a Glance
- Tasks: Lead sales engineering efforts, tackling Data Science challenges and demonstrating business value.
- Company: Join Dataiku, the go-to platform for AI success in a collaborative environment.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to engage with C-level executives and industry leaders.
- Why this job: Be at the forefront of AI technology, helping top companies operationalise their AI strategies.
- Qualifications: 5+ years in data science, strong communication skills, and a passion for problem-solving.
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.
Responsibilities
- Operate as a Senior Sales Engineer with a background in Data Science, running your own opportunities together with the opportunity team and acting as a sparring partner, supporting in-depth Data Science challenges or conversations.
- Qualify deals through collaboration with the Account Executive, the Business Development Representative, and sales management.
- Conduct discovery meetings to learn from the customer and the BDR about business requirements and technical environment.
- Articulate usage scenarios that illustrate the business value desired by the customer to the Opportunity Team and to the customer.
- Use Dataiku to demonstrate the business value articulated in the usage scenarios.
- Design projects and execute Dataiku demonstrations that 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 by coordinating resources and co-developing data science projects with prospective customers, leading the combined team to prove Dataiku delivers the needed value better than competitors.
- Answer questions and provide technical guidance to the customer's technical team regarding the demonstrated solution.
- Assist in sales pipeline activities, including attendance at live or virtual trade shows and industry conferences, working with marketing or partners on campaign design and execution, and other activities specified by sales and pre-sales management.
Qualifications
- Strong natural and intellectual curiosity, especially around applying technology to solve 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 is a bonus.
- Experience 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.
EEO and Compliance
Our practices are rooted in the idea that 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 aspect protected by laws and regulations in the locations where we operate. If you need assistance or an accommodation, please contact reasonable-accommodations@dataiku.com.
Fraud Warning
Dataiku will never ask you for payment of any type during the interview or hiring process. We will not ask you to make purchases or download third-party applications during the process. If you suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
Sr Sales Engineer employer: Dataiku
Dataiku is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior Sales Engineer to thrive. With a strong commitment to employee growth, Dataiku offers extensive training opportunities and encourages team members to engage in meaningful projects that drive AI success for leading companies. Located in a vibrant tech hub, employees benefit from a dynamic work environment that promotes creativity and professional development.
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 way, when you chat with them, you can show off your knowledge and passion for what they do.
✨Tip Number 2
Practice your pitch! Be ready to explain how your skills in data science and sales engineering can solve their problems. Use real examples from your past experiences to make it relatable.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. This can give you insider info and maybe even a referral, which is always a bonus!
✨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, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Sr Sales Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Sr Sales Engineer role. Highlight your background in data science and any relevant technical expertise, especially in predictive modelling and cloud infrastructures.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your experience can help Dataiku succeed. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills:Don’t shy away from mentioning your programming skills in Python or R, as well as your familiarity with SQL. We want to see how you can apply these skills to solve real-world problems in the context of our platform.
Apply Through Our Website:We encourage you to submit your application through our website. This ensures that your application is reviewed promptly and gives you the best chance to stand out in the process!
How to prepare for a job interview at Dataiku
✨Know Your Data Science Stuff
Make sure you 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.
✨Understand the Customer's Needs
Before the interview, research the company and its clients. Think about how Dataiku can address their specific challenges. This will help you articulate usage scenarios that demonstrate the business value of the platform during your discussions.
✨Show Off Your Communication Skills
As a Senior Sales Engineer, you'll need to communicate effectively with various stakeholders. Practice explaining complex technical concepts in simple terms, and be prepared to engage with both technical teams and C-level executives.
✨Prepare for Technical Demonstrations
Get comfortable with using Dataiku for demonstrations. Plan out how you would showcase its features and benefits in a way that aligns with the customer's needs. Being able to run a smooth proof-of-concept can really set you apart from other candidates.