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Manager Ai Researcher Jobs in Indiana (NOW HIRING)

The businesses of Merck KGaA, Darmstadt, Germany

... managing budget, vendors, and milestone delivery. You will architect and scale a deployed multi-agent AI co-scientist platform into the primary R&D workflow tool. You will extend MLIP and interatomic ...

Onebridge

Senior AI Full Stack Engineer

Indianapolis, IN · On-site

$120 - $180/hr

... that enable scientists and researchers to interact with complex datasets intuitively and ... Implement secure authentication, authorization, and secrets management practices while ensuring ...

MarLabs

Senior AI Full Stack Engineer

Indianapolis, IN · On-site

$140 - $190/hr

... that enable scientists and researchers to interact with complex datasets intuitively and ... Implement secure authentication, authorization, and secrets management practices while ensuring ...

RR

Health Data Science/AI Associate

Indianapolis, IN · On-site

$56K - $56K/yr

Participate as an active member of multidisciplinary project teams supporting health research ... Git or source code management * Health data standards such as OMOP, HL7, or FHIR CORE COMPETENCIES ...

Reference Services Inc

Be Seen First

Business Systems & AI Administrator

Evansville, IN · On-site

$75K - $95K/yr

Research emerging technologies beneficial to the background screening industry. Vendor Management ... Experience implementing AI tools in business operations. * Strong understanding of Salesforce ...

MISO

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Help shape the future of energy through AI-driven insights! At MISO, our Analytics and Forensics ... manages the electricity superhighway in the Central U.S. and through use of groundbreaking research ...

Arrive AI

Senior Accountant

Fishers, IN · On-site

$69K - $87K/yr

... research and AI tools to find solutions to complex accounting transactions Internal Financial ... Familiarity with Ramp or similar corporate spend management platforms * Ability to understand and ...

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Manager Ai Researcher information

What does a Manager AI Researcher do?

A Manager AI Researcher leads a team of artificial intelligence researchers in designing, developing, and implementing innovative AI models and solutions. They oversee research projects, set strategic goals, and collaborate with cross-functional teams to translate research findings into practical applications. In addition to their technical expertise, they are responsible for mentoring researchers, managing project timelines and budgets, and ensuring the team stays up to date with the latest advancements in AI.

How does a Manager AI Researcher typically balance hands-on research with team leadership responsibilities?

As a Manager AI Researcher, you'll often need to strike a balance between contributing directly to research projects and overseeing the team's progress. While you may still participate in designing experiments or reviewing technical work, much of your time will be devoted to mentoring junior researchers, setting project priorities, and collaborating with cross-functional teams such as product or engineering. Strong communication and organizational skills are essential, as you'll be responsible for aligning research goals with business objectives while fostering a collaborative, innovative environment.

What are the key skills and qualifications needed to thrive as a Manager AI Researcher, and why are they important?

To thrive as a Manager AI Researcher, you need deep expertise in machine learning, data science, and computer science, typically supported by an advanced degree (PhD or Master's) and experience leading research projects. Familiarity with AI frameworks (such as TensorFlow or PyTorch), programming languages (like Python), and project management tools is essential, along with staying current on the latest research trends. Strong leadership, communication, and collaboration skills are crucial for guiding teams, fostering innovation, and translating research into practical applications. These skills and qualities enable effective team management, drive cutting-edge research, and ensure successful integration of AI solutions into organizational goals.

What is the difference between Manager Ai Researcher vs Data Scientist?

AspectManager Ai ResearcherData Scientist
Required CredentialsMaster's or PhD in AI, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentLeads AI research teams, collaborates with engineers and product teamsAnalyzes data, builds models, supports decision-making
Industry UsageUsed in AI-focused companies, research labs, tech firmsWidely used across industries like finance, healthcare, tech

While both roles require strong technical skills and a background in data or AI, the Manager Ai Researcher focuses on leading AI research initiatives and managing teams, whereas the Data Scientist primarily analyzes data and develops models to inform business decisions.

What are the most commonly searched types of Ai Researcher jobs in Indiana?

The most popular types of Ai Researcher jobs in Indiana are:

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For Manager Ai Researcher jobs in Indiana, the most frequently searched job titles are:

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The top searched job categories for Manager Ai Researcher jobs in Indiana are:

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Manager Ai Researcher jobs near you

AI-Native Technical Product Manager - Ag Tech

Taranis

Westfield, IN • On-site, Remote

$160K - $185K/yr

Full-time

Posted 12 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