AI-Native Technical Product Manager — Ag Tech

Summary

Taranis is the world's leading AI-powered crop intelligence platform, providing ag advisors and their growers with data-driven agronomic recommendations. The AI-Native Technical Product Manager will translate customer needs into actionable product specifications for the engineering team, ensuring that solutions are grounded in agronomic science and deliver value to retailers and growers.

Responsibilities

• Spend regular time in the field and in the office with ag retail customers
• Understand how retail agronomists and sales staff drive grower value throughout the season—from pre-season planning and in-season decisions through to harvest—and how these efforts translate into business value for the retailer
• Identify where the friction is between insight and action, and where the greatest agronomic and economic value is going unrealized for growers
• Direct AI tools to draft, refine, and iterate on product specs, requirements, and acceptance criteria with the precision required for direct engineering implementation
• Prototype against real customer and field data to validate hypotheses and test solutions
• Partner closely with engineering throughout the build, reviewing deliverables against original spec and intent, and tightening specs as needed
• Prioritize product opportunities within the product roadmap based on the agronomic and economic value they deliver to retailers and growers, acre by acre
• Co-develop product specs in close partnership with engineering; you focus on business, user and UX requirements - including consistency across the platform - while engineering ensures alignment with technical and design standards for our platform, AI-maintainability, architectural integrity, and implementation
• Partner closely with Commercial Sales, Customer Success and Marketing to ensure product direction reflects real field evidence and market needs
• Collaborate closely with Agronomy to ensure all technical solutions are grounded in sound agronomic science
• Communicate customer and grower needs clearly to engineering and leadership to inform roadmap decisions and help the broader team understand where Taranis can deliver the most value to retailers and growers

Skills

• Professional experience in agriculture or ag tech: retail, agronomy, grower-facing, crop inputs, equipment, or another part of the industry
• Demonstrated hands-on experience directing AI tools (e.g., Claude Code or similar) to draft, refine, and iterate on product specs, or to develop mock-ups or clickable prototypes
• Strong, precise written communication: able to write requirements clear enough that there's exactly one way to interpret them
• Technical proficiency to lead credible conversations with engineers about tradeoffs and feasibility
• Aptitude for understanding internal customer systems (e.g., agronomy, CRM, ERP, inventory, dispatch) and translating them into requirements to support data integrations and workflows
• Self-directed and comfortable owning outcomes with minimal oversight
• Willingness to travel regularly within the Midwest to work directly with customers
• Strong analytical, communication and collaboration skills
• Hands-on experience (professional or personal) developing AI-driven code, tools, or agents; deeply passionate about leveraging AI to accelerate productivity and support AI-native product development
• Experience with precision agriculture, remote sensing, or crop data platforms
• Experience with agricultural equipment APIs, data layers and data integration

Qualifications

Must Haves

• Professional experience in agriculture or ag tech: retail, agronomy, grower-facing, crop inputs, equipment, or another part of the industry
• Demonstrated hands-on experience directing AI tools (e.g., Claude Code or similar) to draft, refine, and iterate on product specs, or to develop mock-ups or clickable prototypes
• Strong, precise written communication: able to write requirements clear enough that there's exactly one way to interpret them
• Technical proficiency to lead credible conversations with engineers about tradeoffs and feasibility
• Aptitude for understanding internal customer systems (e.g., agronomy, CRM, ERP, inventory, dispatch) and translating them into requirements to support data integrations and workflows
• Self-directed and comfortable owning outcomes with minimal oversight
• Willingness to travel regularly within the Midwest to work directly with customers
• Strong analytical, communication and collaboration skills

Nice to Haves

• Hands-on experience (professional or personal) developing AI-driven code, tools, or agents; deeply passionate about leveraging AI to accelerate productivity and support AI-native product development
• Experience with precision agriculture, remote sensing, or crop data platforms
• Experience with agricultural equipment APIs, data layers and data integration