Agronomy Tech Lead

Taranis is the world’s leading AI-powered crop intelligence platform, providing ag advisors and their growers with data driven agronomic recommendations that drive farm management and input decisions. Through full-service, leaf-level data capture, Taranis’ insights and services allow the growers to accelerate decision making, simplify management, maximize profitability and enhance their sustainable farming practices. To learn more visit www.taranis.com.

We are currently looking for an experienced Agronomy Tech Lead . The position is located in our Tel Aviv office.

• Serve as the agronomy domain expert for the TLV development site, working closely with Product, R&D, and the CTO to support both existing and future products.
• Develop deep expertise in the target market, focusing primarily on corn and soy, including grower practices, pain points, production systems, and emerging opportunities.
• Be actively involved in the research and development of new agronomy and AI-driven products that create meaningful value for customers.

• Support quality and QC processes with the Ag Data Analysis team, validating datasets, detections, and model outputs.
• Contribute to AI model training and evaluation (CV and LLMs), including annotation, validation, and issue resolution.
• Produce core agronomic materials, including protocols, best practices, QA documentation, and training resources.
• Support onboarding and knowledge transfer to maintain consistent agronomic standards across teams.
• Translate grower and field needs into clear product requirements to strengthen product–market alignment.
• Collaborate with Commercial and CS teams, meet with customers, and synthesize field feedback to guide product direction.
• Lead cross-functional agronomy initiatives, including planning, execution, and stakeholder communication.
• Support global agronomy efforts across markets and crops as needed.

• Experience with international corn and soy markets, including production systems and major agronomic challenges (experience gained in an AgTech company is fully applicable).
• High proficiency in English (reading, writing, speaking).
• Ability to travel overseas to meet with Commercial teams and customers.
• Academic degree in Agronomy, Plant Science, Crop Protection, or a related field (M.Sc. an advantage).

• Background in precision agriculture, remote sensing, or digital agronomy platforms.
• Strong analytical skills with the ability to investigate, prioritize, and solve complex agronomic or technical issues.
• Experience building dashboards and working with SQL for data extraction, validation, or performance monitoring.
• Experience with language models or image recognition technologies (annotation, evaluation, model training) — strong advantage.

• Project management skills: planning, prioritization, workflow ownership, stakeholder communication.
• Proven ability to train, mentor, and support new team members.
• Ability to work effectively in a fast-paced, global, cross-functional environment.