Want to get hired at Dataiku?

Senior Sales Engineer

Dataiku

Toronto, ONOn Site

Original Job Summary

About Dataiku and the Role

Dataiku is The Universal AI Platform™, empowering organizations to harness AI talent, processes, and technologies. As a Senior Sales Engineer, you will apply cutting-edge big data technologies to real business cases with well-known companies and products.

Responsibilities

  • Qualify deals with Account Executives, BDRs and sales management.
  • Conduct discovery meetings to understand customer requirements and technical environments.
  • Design and execute Dataiku demonstrations to showcase business value.
  • Plan and execute Proof-Of-Concepts by coordinating resources and co-developing projects.
  • Provide technical guidance to customer teams and support internal teams with technical insights.
  • Participate in sales pipeline activities including trade shows and industry conferences.

Requirements

  • Strong curiosity about technology and problem solving.
  • 5+ years experience in predictive modeling, Python/R programming, SQL, and relational data structures.
  • Experience with cloud infrastructures such as AWS, GCP, and Azure.
  • Knowledge of analytics, AI or enterprise software.
  • Comfortable engaging with stakeholders from technical teams to C-level executives.

Equal Opportunity

Dataiku is committed to diversity and fairness. All employment decisions are based on business needs. If you need accommodation, please contact reasonable-accommodations@dataiku.com.

Key skills/competency

  • Dataiku
  • Sales Engineering
  • Big Data
  • Predictive Modeling
  • Python
  • SQL
  • Cloud
  • Demonstrations
  • Pre-sales
  • Customer Engagement

How to Get Hired at Dataiku

🎯 Tips for Getting Hired

  • Research Dataiku's culture: Study their mission, values, and employee reviews.
  • Customize your resume: Highlight technical pre-sales and big data experience.
  • Prepare case studies: Showcase successful data science projects.
  • Practice technical demos: Rehearse clear, concise product explanations.

📝 Interview Preparation Advice

Technical Preparation

Review Python and R coding techniques.
Practice SQL queries and database concepts.
Study AWS, GCP, and Azure cloud setups.
Rehearse technical demo presentations.

Behavioral Questions

Describe a time you handled demanding client needs.
Explain your approach to team collaboration under pressure.
Share a challenging technical project experience.
Discuss how you handle customer feedback constructively.