AI-Native Technical Product Manager – Ag Tech

This is a fully remote position, open to applicants in United States.

📋 Description

• Transform agricultural retail, agronomy, and grower customer requirements into products and solutions for engineering execution.

• Regularly engage with agricultural retail clients both in the field and office.

• Gain insights into how retail agronomists and sales personnel enhance value for growers and retailers throughout the season.

• Recognize gaps between insight and action, as well as untapped agronomic and economic potential.

• Utilize AI tools to draft, refine, and iterate on product specifications, requirements, and acceptance criteria.

• Create prototypes using actual customer and field data to validate theories and evaluate solutions.

• Collaborate with engineering teams during product development, ensure deliverables align with specifications, and fine-tune requirements.

• Prioritize product opportunities in the roadmap based on agronomic and economic significance.

• Co-create product specifications with engineering, integrating business, user, UX, and platform consistency requirements.

• Collaborate with Commercial Sales, Customer Success, Marketing, and Agronomy teams.

• Convey customer and grower requirements to engineering and leadership to aid in roadmap decision-making.

⛳️ Requirements

• Professional background in agriculture or ag tech: retail, agronomy, grower interactions, crop inputs, equipment, or other sectors of the industry.

• Proven hands-on experience directing AI tools (e.g., Claude Code or similar) to draft, refine, and iterate on product specifications, or to create mock-ups or interactive prototypes.

• Excellent written communication skills; capable of articulating requirements in a manner that allows for only one interpretation.

• Technical expertise to engage in credible discussions with engineers regarding trade-offs and feasibility.

• Ability to comprehend internal customer systems (e.g., agronomy, CRM, ERP, inventory, dispatch) and translate them into requirements to facilitate data integrations and workflows.

• Self-motivated and comfortable taking ownership of outcomes with minimal supervision.

• Willingness to travel frequently within the Midwest to work directly with clients.

• Strong analytical, communication, and collaboration abilities.

• Practical experience (professional or personal) in developing AI-driven code, tools, or agents is a plus.

• Familiarity with precision agriculture, remote sensing, or crop data platforms is advantageous.

• Experience with agricultural equipment APIs, data layers, and data integration is a plus.

🏝️ Benefits

• Flexible work arrangements.

• Regular travel to customer sites.

• Commitment to flexibility, work-life balance, and long-term growth.

• A diverse and inclusive workplace where every voice is valued.

• Opportunities for cross-functional collaboration and teamwork.

• Chance to contribute to agricultural technology, sustainability, and a measurable impact.