Agronomist ( all genders ) - 12 - 14 months limited contract

At Plantix, we’re transforming agriculture with AI-driven intelligence. Our solutions empower small holder farmers, agribusinesses and decision-makers across the globe by providing real-time crop insights, machine learning-powered diagnostics and targeted marketing services tailored for the agricultural sector.

Through that, we can support millions of farmers with independent advisory to protect their yields and livelihoods, give them access to quality products and services they may need and allow the public and private sector to understand what is going on in real time.

Plantix is where cutting-edge technology meets real-world farming, driving smarter decisions and stronger outcomes across the agricultural ecosystem. Our aim is to lead the digital transformation towards a more environmentally and economically sustainable agriculture.

This role is limited to a minimum of 12 months for a maternity cover. The role is in Germany.

We are seeking a highly motivated and experienced Agronomist ( all genders) to join our scientific agriculture and content team in Berlin. In this role you will play a pivotal part in our mission to support farmers by leveraging technology to diagnose and treat crop diseases, manage pests, and optimize crop nutrition. As a key member of our team, you will work closely with cross-functional departments—including product, data science, and engineering—and have the unique opportunity to make a significant impact on global agriculture.

Responsibilities

• Technical Expertise: Utilize your knowledge of agronomy, crop science, and plant pathology to support the development of diagnosis algorithms and treatment recommendations for pests, diseases, and crop nutrition.

• Field-to-Digital Translation: Apply practical field experience to ensure that our digital solutions are relevant, user-friendly, and effective for smallholder farmers worldwide.

• Cross-Functional Collaboration: Collaborate closely with product teams, software developers, and data scientists to integrate agronomic insights into digital tools and ensure a seamless user experience.

• Global Context Adaptation: Consider the diverse needs and challenges faced by smallholder farmers in various regions, adapting nutrition and protection solutions to different environmental contexts.