Agriculture Analytics Sales Engineer

Hanumayamma Innovations and Technologies is a pioneering company at the intersection of AI, IoT, and sustainability, focused on empowering smallholder farmers and cooperatives.
Location: Field‑based (USA, India, Nepal, France + select international sites)

• Support deployment, adoption, and monitoring of AI‑powered IoT solutions across rural farming and dairy landscapes.
• Engage with farmers, veterinarians, and cooperatives to understand local challenges and data needs.
• Deploy, calibrate, and test Hanumayamma Cow Necklace Sensors and Sriya Agri Vet Monitors in real‑world environments.
• Train end‑users on device usage, mobile apps, and dashboards to interpret insights.
• Collect, organize, and analyze sensor data to inform decision‑making and improve AI models.
• Collaborate with central Data Science and Product Engineering teams to provide field feedback and optimize model accuracy and hardware performance.
• Conduct on‑site troubleshooting of hardware/software issues and coordinate technical support.
• Promote AI literacy and build trust in technology with simple, relatable explanations in regional languages.
• Maintain accurate logs of deployments, farmer interviews, device performance, and user feedback.

• Bachelor’s or Master’s degree in Data Science, Agricultural Engineering, Computer Science, Veterinary Science, or related field.
• 3+ years of sales experience in the agricultural industry.
• Strong technical knowledge of agriculture analytics, data science, precision agriculture, data collection, and IoT sensor systems.
• Fluency in English and at least one regional Indian language.
• Excellent communication, interpersonal, and independent‑work skills.
• Willingness to travel extensively to rural and semi‑urban areas.
• Growth mindset and long‑tail industry sales attitude.

• Develop and execute sales strategies to achieve revenue targets for agriculture analytics products.
• Identify and pursue new business opportunities with farmers, cooperatives, distributors, food processors, manufacturers, and dealerships.
• Land and expand sales with world’s largest food processors, manufacturers, and dealers.
• Maintain existing sales pipelines with major partners such as Coca‑Cola, Pepsi, and Amul.
• Conduct sales presentations and product demonstrations.
• Provide technical support and training on the use of agriculture analytics products.
• Collaborate with product development to gather customer feedback and improve offerings.
• Stay up to date on industry trends and competitor products.

• Bachelor’s degree in agriculture, business, engineering, or related field; MBA preferred.
• 3+ years of sales experience in the agricultural industry.
• Strong technical knowledge of agriculture analytics, data science, precision agriculture.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Willingness to travel as needed.
• Growth mindset and long‑tail industry sales attitude.

• Develop and execute sales strategies for specialty crops analytics products.
• Identify and pursue opportunities with specialty crop farmers, cooperatives, distributors, and manufacturers.
• Maintain pipelines with major partners such as Blue Diamond, Good Life, Wonderful, Tata Sampann, and others.
• Conduct presentations, demonstrations, and provide technical support and training.
• Collaborate with product development for customer‑driven improvements.
• Stay abreast of industry trends and competitor products.

• Bachelor’s or Master’s degree in agriculture, business, engineering, or related field; MBA preferred.
• 3+ years of sales experience in the specialty crops industry.
• Strong technical knowledge of specialty crops analytics, data science, precision agriculture.
• Excellent communication, interpersonal, and independent‑work skills.
• Willingness to travel as needed.
• Growth mindset and long‑tail industry sales attitude.

• Develop REST API services and integrate user‑facing elements with server logic.
• Write reusable, testable, and efficient code in Java, Node.js, .NET, MVC, or similar.
• Design and implement low‑latency, high‑availability applications.
• I…