At a Glance
- Tasks: Drive AI success by collaborating with teams and showcasing Dataiku's powerful capabilities.
- 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: Experience in data science, predictive modelling, and client-facing roles.
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.
Sr Sales Engineer United Kingdom, 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 opportunities for continuous learning and development in a dynamic environment located in London, where diverse perspectives are valued and every team member is treated with dignity and respect. Join us to not only advance your career but also to contribute to meaningful projects that drive real business value.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Sales Engineer United Kingdom, London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dataiku!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Sr Sales Engineer United Kingdom, London at Dataiku.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dataiku.
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We think you need these skills to ace Sr Sales Engineer United Kingdom, London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dataiku, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dataiku. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dataiku
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dataiku!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
