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Sales Engineer

Job Overview

Location

Italy, Remote

Job Type

Full-time

Category

Sales

Date Posted

April 21, 2026

Full Job Description

đź“‹ Description

  • • As a Sales Engineer at Dataiku SAS, you will play a critical role in bridging technical expertise with sales strategy to drive AI adoption across enterprise clients in Italy and Spain. You will help qualify deals, design and execute Proof-of-Concepts (POCs), and demonstrate how Dataiku’s platform delivers measurable business value through data science and AI solutions.
  • • Day to day, you will collaborate with Account Executives and Business Development Representatives to understand customer needs, conduct discovery meetings, articulate usage scenarios, and lead technical demonstrations using Dataiku. You will design and run POCs, provide technical guidance to customer teams, and support sales pipeline activities including trade shows and partner campaigns.
  • • You will join a global leader in Enterprise AI, where Dataiku serves as the orchestration layer for building, deploying, and governing AI across multi-vendor environments. The company empowers organizations to operationalize AI as a business performance engine, trusted by world-leading companies to deliver measurable value.
  • • In this role, you will deepen your expertise in enterprise AI sales, strengthen your ability to translate technical capabilities into business outcomes, and grow your influence across technical and executive stakeholders — positioning yourself at the forefront of AI-driven digital transformation.

Skills & Technologies

Python
AWS
Azure
GCP
Remote

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Dataiku SAS
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About Dataiku SAS

Dataiku SAS provides a collaborative data science and machine learning platform enabling organizations to build, deploy, and monitor predictive analytics workflows. Founded in 2013 and headquartered in New York and Paris, the company serves global enterprises in finance, retail, pharmaceuticals, and manufacturing. Its flagship product, Dataiku DSS, offers visual data preparation, AutoML, model management, and governed MLOps, integrating with existing cloud and on-premise infrastructure. The company aims to democratize data science across technical and business teams, accelerating AI adoption while maintaining governance, transparency, and compliance.

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