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Top Ai Jobs in Indiana (NOW HIRING)

Kobie Marketing

AI Engineer

Indianapolis, IN

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ...

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What is a top AI professional?

Top AI professionals are experts in the field of artificial intelligence who demonstrate advanced knowledge and skills in developing, implementing, and optimizing AI systems. They often lead research, design algorithms, and work on machine learning, deep learning, and data analysis projects across various industries. These individuals typically have strong backgrounds in computer science, mathematics, and statistics, and are recognized for their contributions through publications, leadership roles, or innovative AI solutions.

What are the key skills and qualifications needed to thrive as an AI specialist?

To thrive as an AI Specialist, you need strong programming skills (such as Python or R), a solid foundation in mathematics and statistics, and typically a degree in computer science, data science, or a related field. Experience with machine learning frameworks (like TensorFlow or PyTorch), cloud platforms, and relevant certifications (such as AWS Certified Machine Learning) is highly valuable. Analytical thinking, problem-solving ability, and effective communication set top performers apart in this role. These skills are crucial for developing, deploying, and explaining AI solutions that drive innovation and business value.

What are some common challenges faced by AI specialists working on cutting-edge projects?

AI specialists working on advanced projects often encounter challenges such as managing large, complex datasets, ensuring model accuracy, and addressing ethical considerations like bias and transparency. Collaboration with cross-functional teams—including data engineers, product managers, and domain experts—is essential for aligning technical solutions with business goals. Additionally, staying current with rapid advancements in AI research and tools is crucial for success in this dynamic field.

Which is the best career in AI?

The best career in AI depends on individual interests and skills, but common roles include AI researcher, machine learning engineer, data scientist, and AI software developer. These roles typically require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, TensorFlow, or PyTorch.

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Infographic showing various Top Ai job openings in Indiana as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 73% In-person, 18% Hybrid, and 9% Remote job distribution.

AI-Native Technical Product Manager - Ag Tech

Taranis

Westfield, IN • On-site, Remote

$160K - $185K/yr

Full-time

Posted 8 days ago

Job description

Description
AI-Native Technical Product Manager - Ag Tech
US Midwest • Full-time
Reports to: VP of Product
About The Position
Taranis is the world's leading AI-powered crop intelligence platform, providing ag advisors and their growers with data-driven agronomic recommendations that drive farm management and input decisions. Through full-service, leaf-level data capture, Taranis' insights and services allow growers to accelerate decision-making, simplify management, maximize profitability, and enhance sustainable farming practices.
Since its founding, Taranis has worked with the world's top agricultural retailers and crop protection companies, serving millions of acres across the United States and globally. Taranis' Global Headquarters is located in Indianapolis, Indiana, with an R&D and Innovation Center in Tel Aviv, Israel. To learn more, visit www.taranis.com.
The Role
We are seeking an AI-Native Technical Product Manager to help translate the needs of our ag retail, agronomy, and grower customers into products and solutions our engineering team can build rapidly. This role sits close to both the customer and engineering: you'll spend real time with retailers and agronomists understanding how they deliver value to their growers and their business through the season, and collaborate with our AI-native engineering team to turn that understanding into clear, well-structured specs.
This is a hands-on, technical product role. You'll be comfortable directing AI tools to draft and refine product specs, in alignment with guidelines and structures established by our engineering team. You'll partner closely with the engineering team to integrate sharp agronomic, business, and UX judgment into a requirement-driven, AI-native engineering process. This role is central to our strategy of empowering retailers to turn intelligence into action for their growers and their businesses through AI.
Location
Remote within the Midwest or based in Indianapolis, IN. This role requires regular travel to customer locations to work directly with their teams.
Responsibilities
Customer & Agronomic Discovery
  • 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

Spec-Driven Product Development
  • 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

Cross-Functional Collaboration
  • 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

Requirements
Required Qualifications
  • 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

Preferred Qualifications (Advantage)
  • 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

Why Join Taranis?
At Taranis, we don't just innovate - we invest in our people.
  • Empowered by Respect: We value diverse perspectives and ensure every voice is heard.
  • Driven by Accountability: Ownership and transparency are foundational to how we work.
  • United in Collaboration: Cross-functional teamwork is how we win.
  • Dedicated to Commitment: We support flexibility, balance, and long-term growth.
  • Inspired by Innovation: We challenge the status quo to advance agriculture globally.

Join Taranis and be part of a team committed to transforming agriculture through technology, sustainability, and measurable impact - for growers, retailers, and the future of farming.

Apply