Noogata-Senior Data Product Manager

  • Noogata
  • Tel Aviv, Israel
  • Full-time
About The Position

Noogata is the leader in no-code artificial intelligence (AI) designed from the ground up for citizen data analysts. We’re democratising AI for enterprises and making it accessible to the common business user. Founded in 2019, backed by world-class VCs and offices in Tel Aviv and NYC, Noogata is one of the fastest growing and most exciting companies in the Enterprise AI space. 

We are looking for a senior data product manager with a passion for enterprise software and a deep understanding of data and AI to lead the product efforts for our core offering.  If you’re excited about data products and making AI accessible to the masses – this role is for you! 

 

Responsibilities:

  • Design and research new features in our no-code enterprise AI platform 
  • Own the product roadmap and backlog – clearly communicating with all stakeholders to achieve strong alignment between sales, success,, engineering and management 
  • Hands-on product manager – writing specs, develop mockups and marketing collateral
  • Work with our data-science and business teams to identify, research and validate new use-cases and opportunities for machine-learning based building blocks 
  • Work with engineering and data-science teams to ensure high-quality delivery of features and product releases 
  • Work closely with customers and users to evangelize our product and identify opportunities for improvement and innovation
  • Manage release planning and launches in collaboration with our marketing teams, achieving high visibility with our users and prospects

Requirements:
  • 3+ years of product management experience for enterprise software product in a SaaS environment
  • Experience managing data and AI-powered products, and the challenges associated with collecting, processing, and extracting insights from large amounts of data.
  • Experience with agile development practices – Writing stories, developing mockups, managing backlogs and planning sessions
  • Strong understanding of machine learning concepts and how to apply them within an enterprise context 
  • Strong analytical and problem-solving skills
  • Strong command of English, ability to clearly communicate and write compelling product copy
  • Willingness to travel

Advantages: 

  • Domain experience in the CPG, Retail, eCommerce – an advantage
  • Experience with SaaS and high-velocity enterprise software applications

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