Sr Sales Engineer in London

Sr Sales Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
myGwork - LGBTQ+ Business Community

At a Glance

  • Tasks: Collaborate with teams to demonstrate AI solutions and drive customer success.
  • Company: Join Dataiku, a leader in AI orchestration 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.
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, 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‑.

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 in London 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 and development, 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.

myGwork - LGBTQ+ Business Community

Contact Details:

myGwork - LGBTQ+ Business Community Recruitment Team

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 folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities you might not find on job boards.

Tip Number 2

Prepare for those interviews! Research Dataiku and understand their products inside out. The more you know, the better you can showcase how you can add value as a Senior Sales Engineer.

Tip Number 3

Practice your pitch! Be ready to articulate your experience in data science and how it aligns with the role. Use real examples to demonstrate your skills and problem-solving abilities.

Tip Number 4

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 Dataiku team.

We think you need these skills to ace Sr Sales Engineer in London

Data Science
Predictive Modelling
Relational Data Structures
SQL
Python
R
Cloud Infrastructures (AWS, GCP, Azure)

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 data science background and any relevant technical expertise to catch our eye!

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 thrive. Be genuine and let your personality shine through!

Showcase Your Technical Skills:Since this role involves a lot of technical discussions, don’t shy away from mentioning your programming skills in Python or R, and your experience with cloud infrastructures. We love seeing those details!

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 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 depth of understanding and ability to solve problems.

Understand Dataiku Inside Out

Familiarise yourself with Dataiku's platform and its features. Prepare to demonstrate how you would use it to deliver business value during the interview. This shows your enthusiasm and readiness to hit the ground running.

Practice Your Presentation Skills

Since you'll be interacting with various levels of customer teams, practice articulating complex technical concepts in a clear and engaging way. Consider doing mock presentations to friends or colleagues to build confidence.

Prepare for Collaborative Scenarios

Think about past experiences where you've worked closely with sales teams or clients. Be ready to share examples of how you’ve collaborated to qualify deals or conduct discovery meetings, as teamwork is key in this role.