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Gen AI Product Specialist - Remote

Posted 7 weeks ago
Sales / Business
Full Time
EMEA

Overview

As a Gen AI Product Specialist at Dataiku, you will lead the charge in articulating and implementing our Gen AI value proposition, building strong relationships with organizations and partners to enhance our positioning in the Gen AI space.

In Short

  • Act as an expert on Dataiku’s Gen AI value proposition.
  • Engage with customers and partners to address Gen AI priorities.
  • Develop assets to enhance team autonomy and scale.
  • Support functional tests of Gen AI capabilities.
  • Lead the Gen AI program for ARR development.
  • Grow partnerships within the Gen AI ecosystem.
  • Collaborate with cross-functional teams.
  • Document enhancement needs for Gen AI features.
  • Contribute to building demos leveraging Dataiku’s capabilities.
  • Ensure understanding of Gen AI deliveries by customers.

Requirements

  • 7+ years of experience in data science and technology.
  • 3+ years of experience with Python and data ETL.
  • Strong understanding of Dataiku.
  • Excellent communication skills.
  • Organized and structured in asset production.
  • Based in EMEA, able to travel.

Benefits

  • Be part of a pioneering company in the AI revolution.
  • Opportunity for personal growth and innovation.
  • Collaborative work environment.
  • Engagement in transformative co-innovation.
  • Work with a diverse team across multiple countries.
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Dataiku

Dataiku is a leading software company specializing in data science and analytics solutions. With a focus on empowering organizations to harness the power of their data, Dataiku offers a platform known as DSS (Data Science Studio) that enables businesses to develop efficient data-driven strategies. The company is committed to innovation and collaboration, working closely with clients to understand their unique needs and provide tailored solutions. Dataiku fosters a dynamic work environment that encourages cross-functional teamwork, particularly among sales, marketing, product management, and engineering teams, to drive customer success and continuous improvement.

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