Field 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) Data Science Field Engineer 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 AgriVet 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. Agriculture Analytics Sales Engineer 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. Specialty Crops Analytics Sales Engineer 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. Software Engineer – IoT & Data Analytics 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. Implement security and data protection features. Integrate data storage solutions such as MySQL and MongoDB. Communicate .NET best practices to stakeholders. Build data management and analysis modules for user‑friendly reporting. Master’s degree in Computer Science or related field. Minimum 3 years of relevant software development experience. Strong proficiency in JavaScript, Node.js, and Angular/React/MVC. Experience with Git, CI/CD pipelines, and automated testing. Excellent written and verbal communication skills. Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. How to apply: Send resume and cover letter to View email address on click.appcast.io with subject line “Application – Data Science Field Engineer” (or specify role in the subject line). Evaluate the Internal General EEO statement for all positions. #J-18808-Ljbffr