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Data Product Manager

Explorium is on a mission to transform the way organizations use data to build their unique competitive advantage.

We are redefining how companies find relevant data for AI by automatically discovering the most predictive datasets and features across thousands of sources, on the web and in the enterprise. The Explorium Data Science Platform tackles the toughest challenges in the predictive model building process – data integration, data enrichment and feature engineering – enabling data specialists to build machine learning models based on the best data possible. Combining their own proprietary data assets with the best external sources in the world is the competitive edge organizations need to build the predictive models that will drive their future growth.

Job Description

  • Play a central role in Explorium’s product management team and drive the next revolution in data science
  • Work with a cutting-edge R&D organization and collaborate closely with winning Pre-Sales and Customer Success functions, while balancing immediate needs and on-going processes
  • Solicit and capture product ideas from both inside and outside the company
  • Ensure that your team is focused and working on the most valuable missions
  • Guide and collaborate with engineering in planning, execution and management of resources, roadmap and releases
  • Oversee and control the product release cycle, identify and act proactively to solve bottlenecks and raise flags when needed
  • Anticipate use cases in order to build a scalable platform with built-in future-proofing to handle massive real-time events
  • Thrive in a hyper-growing startup environment

Skills And Qualifications

  • At least 3 years of experience as a data product manager.
  • Experience in working with big data teams, developing products that are powered by machine learning.
  • Experience in building customer-facing products using data.
  • Data-driven, analytical mindset.
  • Excellent communication skills: collaborating, negotiating, persuading, writing and listening.
  • Domain knowledge of machine learning – big advantage
  • Computer Science degree preferred, or equivalent engineering degree.
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