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Agronomist - Customer Relations

  עדכון אחרון: 14-04-2022
  היקף המשרה: מלאה
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  מקום העבודה: קיבוץ גבת - צפון
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  למודעות נוספות של המפרסם/ת: לחצו כאן


המשרה מאויישת - להצעות עבודה נוספות לחצו כאן

Agronomist - Customer Relations
The Company
Manna Irrigation, a leading Agtech software company, is now hiring an agronomist, to support professionally customer activities around the world.
Manna has developed a software-only solution for a very physical problem – help growers with their most difficult irrigation decisions. Standard solutions in the market require the users to install and maintain expensive hardware in their fields. Manna users don’t need to. The cloud-based software offering is based on deep remote sensing technology, agronomy models and cloud computing, and is currently in use by thousands of growers in more than 15 countries.
Manna Irrigation is backed by the global irrigation leader Rivulis, which is owned by Temasek (a $300 billion international investment company from Singapore).
Manna offices are located in Kibbutz Gvat, Emek Izrael.
The hired person will be a member of Manna’s science and research team.

Responsibilities
• Professional (agronomy related) support to customers at pre & post sale stages
• Work closely with the Sales and Customer Success groups of the company
• Provide product demos and customer training sessions
• Monitoring and analyzing trials and pilots in Israel and abroad
• Taking part in improving irrigation and crop models
• Taking part in research with irrigation and agronomic orientation
• Field work including in-field measurements

Skills and Qualifications
• BSc. (at least) in agriculture with rich experience in agriculture and irrigation
• Excellent English speaking and writing
• High skill in summary and presentation of case studies and professional materials
• Experience in communication with growers, agronomists, and big corporates abroad
• Familiarity with the agro world in Israel and abroad
• Creativity and independence

Advantages
• Communication in additional languages
• Experience with geostatistical tools (ArcGIS, QGIS)
• Experience with popular statistical processing programs/languages (Python, MATLAB, R)