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Join a forward-thinking AgriTech startup dedicated to reshaping the future of agriculture through innovative software solutions. As a key player in the LAYERS Product Team, you will leverage your Python expertise and collaborate with data scientists and agronomists to develop impactful models and improve data infrastructure. Enjoy a flexible work environment that values teamwork and creativity while making a difference in the agrifood industry. This is an exciting opportunity to contribute to a mission-driven company that prioritizes sustainability and efficiency in food production.
At HEMAV, we are an AgriTech StartUp founded in 2012, working passionately on Data Science in the agrifood industry with the purpose of generating more food with less environmental impact.
We use a unique approach, based on Artificial Intelligence using satellite technology and other data sources (drone, meteo, soil, etc.).
Users of our technology leverage their decision-making systems on information and knowledge generated on a field-by-field basis, with the HEMAV family currently composed of around 40 persons with offices in Spain, Brazil, Peru, and the USA. We have around 50 regional partners distributed across more than 17 countries in Europe, America, and Africa. More than 5,000 users access the platform covering 6 million Hectares.
HEMAV values include:
LAYERS, our software, generates key yield forecasting data and offers analytics with a large direct impact. It helps improve treatment efficiency, generate yield and quality estimates, and addresses challenges like crop management, production yield and logistics, economic yield, and climate change risk assessment.
Our slogan is: Reshaping the future by increasing land efficiency.
The LAYERS Product Team consists of 13 members in four squads: DevOps, BackEnd, UX/UI, and Data Intelligence, working in three to four-week sprints with regular demos.
What is your mission in HEMAV?
The main goal is to play a key role in developing software, models, repositories, and improving data infrastructure, models, and product development, collaborating with data scientists, agronomists, analysts, and other experts to implement impactful models.
This role involves software development, spatio-temporal statistics, agronomical knowledge, and AI, focusing on robustness and scalability of LAYERS.
Role will be evaluated based on team goals following OKRs and company objectives. Location is approximately within 3 hours of BCN (Spain) time; remote work is supported, but team collaboration is valued.
Includes a young, friendly environment, flexible hours, remote work, flexible salary, extra holidays, and a multi-step hiring process involving a conversation, tech talk, exercise, and onboarding.
Join HEMAV and be part of shaping innovative solutions in agriculture. Apply now!