
Job Overview
Location
France, Paris; Italy, Remote; Spain, Madrid
Job Type
Full-time
Category
Sales
Date Posted
April 21, 2026
Full Job Description
đź“‹ Description
- • As a Business Development Representative for Italy at Dataiku, you will drive business development activities across the Italian market, playing a key role in expanding the company’s presence in Southern EMEA by identifying, qualifying, and nurturing leads to fuel the sales pipeline.
- • Your day-to-day responsibilities include managing high volumes of inbound and outbound leads via phone, email, and LinkedIn; collaborating with Sales and Marketing to design and execute targeted campaigns; partnering with Account Executives to pursue enterprise opportunities; educating prospects on Dataiku’s value proposition; and analyzing outreach performance to optimize strategies for the Italian territory.
- • You will join a global, innovative team at Dataiku — the Platform for AI Success — where over 1,000 teammates across 25 countries empower organizations to build, deploy, and govern AI at scale. The company fosters a culture of collaboration, transparency, and continuous learning, with a strong commitment to diversity, equity, and inclusion.
- • In this role, you will develop deep expertise in enterprise sales processes, gain hands-on experience with AI and data technology stacks, sharpen your communication and analytical skills, and grow your professional network across industries like Manufacturing, Banking, Fashion/Retail, and Energy — positioning yourself for advancement in sales, business development, or go-to-market strategy.
Skills & Technologies
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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