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2027 Technology Sales and Agronomy Summer Intern

Job Category: Data Science/Data Engineering Sales Product Development
Job Type: Internship
Job Location: Indiana

Location: Hybrid / Remote – Indiana
Reports to: Sales Leader – Demitrius Kikalos

About the Role

Intelinair is seeking an Ag Insights Associate to support customer success initiatives while contributing across Sales, Analytics, Operations, and AI Development teams.

This is a cross-functional role ideal for someone who is comfortable working at the intersection of agronomy, data, and technology. The individual will support Intelinair and white label platform customers helping ensure that Intelinair’s imagery, analytics, and AI tools deliver measurable value to growers and agricultural partners.

The role combines customer-facing responsibilities, operational coordination, and technical collaboration. Candidates should be comfortable communicating with farmers, agronomists, and engineering teams while working with imagery, data analysis, and emerging AI tools.

Key Responsibilities

Sales Support

  • Serve as a customer support resource for growers, agronomists, and retail partners in the Midwest
  • Prepare and deliver customer reports demonstrating value generated from platform insights
  • Assist sales team with customer onboarding, engagement, and ongoing support
  • Help communicate agronomic insights and platform value to growers and retailers
  • Support customer troubleshooting and platform-related questions
  • Assist with field data collection and validation when needed
  • Contribute to building strong long-term customer relationships, user engagement and retention

Analytics & Technical Collaboration

  • Analyze aerial imagery and data to support agronomic insights
  • Work with analytics teams to process and interpret imagery outputs
  • Support data analysis and reporting efforts using basic coding or technical tools
  • Ensure timely completion of analysis projects and reporting deadlines
  • Translate technical insights into clear explanations for farmers and agronomy teams
  • Provide feedback to engineering and analytics teams based on customer feedback and needs

Operations

  • Coordinate with Operations team and third-party flight providers responsible for imagery collection
  • Monitor flight schedules, weather conditions, and external factors affecting imagery collection
  • Manage and track imagery pipeline progress from capture through delivery
  • Maintain operational communication between vendors, internal teams, and customers
  • Track key operational metrics related to imagery coverage and data delivery

AI Development

  • Assist internal AI development efforts by identifying practical use cases
  • Collaborate with AI and engineering teams to help refine AI tools and workflows
  • Develop and test prompts for AI systems to improve agronomic insight generation
  • Gather customer feedback to refine the product or inform future AI product development
  • Help translate real-world farmer needs into technical requirements for product development team

Additional Responsibilities

  • Develop ROI reports demonstrating economic value delivered to growers and retailers
  • Maintain strong documentation of customer interactions, operational processes, and insights
  • Monitor agricultural trends, weather patterns, and industry developments that may affect operations or customer outcomes
  • Communicate effectively across internal teams including Sales, Analytics, Operations and Engineering

Qualifications

Required

  • Working toward a bachelor’s degree in Agriculture, Agribusiness, Agronomy, Data Science, Engineering, or related field
  • Strong interest in ag technology and data-driven management decision making
  • Excellent communication skills with the ability to work with both technical teams, agronomists and growers
  • Strong organizational skills and ability to manage multiple projects simultaneously
  • Comfortable working with data, imagery, and technical tools
  • Ability to meet deadlines in a fast-paced environment
  • Willingness to travel throughout the I-states and Midwest area

Preferred

  • Background in row crop production (primarily corn and soybeans)
  • Experience working with growers, ag retailers, or agronomy teams
  • Familiarity with aerial imagery, remote sensing, or agricultural analytics
  • Basic coding or scripting experience (Python, GIS tools, or similar)
  • Understanding of AI tools and prompt engineering concepts
  • Knowledge of farm economics and ability to communicate ROI to customers

What Success Looks Like

  • Customers clearly understand and realize value from Intelinair insights
  • Imagery and analytics workflows operate efficiently and on schedule
  • Strong coordination between customers, flight vendors, and internal teams
  • AI and analytics teams receive actionable feedback from real-world farm operations
  • Clear ROI reporting that demonstrates economic impact for growers and partners
  • On-time and accurate reporting to customers

The position is primarily remote, with occasional in-office collaboration and travel throughout the Midwest, primarily in the I-states.

Apply for this position

Allowed Type(s): .pdf, .doc, .docx

[pdf-embedder url=”https://www.intelinair.com/wp-content/uploads/2024/10/Topography-Layer.pdf”

Yield Forecast

Understand where your corn yield is based on the current state of the crop. As the season unfolds, see how it is having an impact on your final yield.

Yield Loss

Powered by years of Nitrogen research at the University of Missouri, our corn Yield Loss analytic, powered by NVision Ag, gives insight into potential yield loss due to Nitrogen deficiency. Optional analytic for nitrogen management.

Variable Dry Down

variable dry down

Understand which fields and which areas of the field are drying down to help plan your harvest logistics.

Underperforming Area

low crop health

Not all areas of your fields perform the same and low NDVI doesn’t necessarily mean there is anything you can do to fix it this year. Underperforming Area alerts you to the fields and areas of the fields that are performing below their historical potential. This will allow you to quickly find those fields and areas and make adjustments to get them back on target and protect yield.

Nutrient Deficiency

nutrient deficiency

As the crop grows, it can tell us more of what is wrong with it. This analytic finds the fields and areas of the fields where there is a nutrient deficiency so that issues can be addressed before grain fill.

Disease Stress

disease risk

In conjunction with the Thermal Stress, Disease Stress alert takes into account weather information to more precisely indicate the type of stress impacting the crop.

Thermal Stress

thermal risk

Using our thermal imagery, AGMRI can detect elevated heat patterns of the crop that indicate crop stress.

Crop Health

Crop Health

Get a complete view of your farms and fields and identify where yield potential is ranked highest to the lowest.

Weed Map & Weed Escape

weed escape

Know what fields and areas of the fields have weeds. With machine integration or based on planting date, be alerted to what fields have weeds that may be impacting yield.

Historical Field Performance

AGMRI creates 5 performance zones in each field based on the historical average of those zones. This data is used to compare the current season to help understand where you are underperforming from the zone potential.

Low Emergence

low emergence

Notification of what fields and areas of the field have poor emergence.

Stand Assessment

strand assessment

AGMRI detects the established rows and uses computer vision and machine learning to determine the best segment of row and compares the rest of the field to that segment to give you a relative map. If machine data is integrated, a stand population map is returned.

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