Who are we?
Stenon offers the world’s first real-time soil analysis solution for agriculture. With our IoT solution consisting of intelligent sensor fusion, artificial intelligence, and data analysis, we are solving a major and global problem in agriculture and society. We provide the necessary data for cultivation optimization that is currently not economically accessible and thus creates extreme value for farmers.
Stenon is expanding internationally. At Stenon, we pride ourselves on having a diverse and dynamic team spread across our offices in Germany and Brazil. As we continue to grow, we are committed to fostering a collaborative and inclusive environment that supports our global workforce.
Position
We are looking for a HR Manager (part-time, 20 hours per week) with outstanding analytical and communication skills. An HR Manager is expected to be a conceptual thinker with fantastic organizational and conflict management skills. You will have excellent negotiation and problem-solving skills with the ability to multitask and adapt in a fast-paced environment to support our employees globally.
Why us?
We are on a mission to make soil data accessible in real-time, thus changing how farmers can cultivate their land. To achieve this, we put our customers first and try to understand the challenges they have deeply. This will allow us to build the best possible products. We value transparency and honesty to become as performant as possible. With an open yet always constructive feedback culture, we learn from each other and improve continuously.
We have high standards and reward performance, but at the same time, we want to work with positive people who treat their colleagues exceptionally well.
Interested?
Send us your application and reach out to careers@stenon.io if you have any questions; we're happy to help.
About us
At Stenon we are on a mission to democratize soil data. We have become the global market leader in real-time, digital soil data that is totally laboratory independent. This provides farmers with essential data to make optimal and sustainable cultivation decisions, boosting yield, crop quality, and soil health while saving money on inputs.