AI Product Manager

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we’re all about at John Deere. And it’s why we’re investing in our people and our technology like never before!

Here the world’s brightest minds are tackling the world’s biggest challenges. If you believe one person can make the world a better place, we’ll put you to work. RIGHT NOW.

John Deere is an equal opportunity employer, including disabled & veterans.

Primary

Location:

United States (US)- Iowa
- Johnston
Function:
Data and Analytics (CA)

Title:

AI Product Manager-125641
Onsite/Remote:
Remote Position

The preferred location for this position is onsite in Johnston, IA or Moline, IL. Remote candidates will also be considered; however, monthly travel to our Moline or Johnston office would be required.

Digital Engagement & Commerce requires a dedicated Product Manager to build and scale AI-powered parts experiences across , , and Unified Parts Experience.

This role will lead a dedicated development team and own the full product lifecycle for Parts AI capabilities: customer and dealer discovery, product direction, roadmap, backlog, requirements, delivery, release readiness, adoption, quality, and measurable business outcomes. The role will also orchestrate work across Digital Engagement & Commerce so that capabilities are reusable and consistent across platforms, rather than developed as disconnected point solutions as well lead the Internal Transformation for A&CS employees by supporting high-impact AI opportunities, cross-functional delivery, everyday AI fluency, and a clear path from idea intake through validation, governance, execution, and recognition.

• Own the product and outcomes
  :
  Define the AI agents needed, value proposition, objectives, roadmap, and measurable customer, dealer, and business outcomes for Parts AI.
• Lead a dedicated development team
  :
  Provide day-to-day product direction, prioritize the backlog, make scope tradeoffs, remove ambiguity, and move capabilities from discovery through production.
• Discover and validate user problems
  :
  Conduct customer and dealer discovery, identify high-value workflows, test concepts, and validate that AI is solving meaningful problems.
• Translate needs into buildable work
  :
  Define journeys, requirements, user stories, acceptance criteria, data needs, guardrails, and release decisions in partnership with UX, Engineering, Architecture, Data, and Content.
• Deliver and operate AI products
  :
  Lead pilots, phased releases, production readiness, monitoring, issue prioritization, and continuous improvement.
• Own AI product quality
  :
  Establish evaluation criteria for accuracy, relevance, task completion, safety, and user trust; use findings to prioritize improvements.
• Drive adoption and business impact
  :
  Partner with product, marketing, dealer, regional, and support teams to embed capabilities in workflows and measure utilization and value.
• Orchestrate across DEC
  :
  Coordinate shared skills, tools, data sources, and interaction patterns so each platform can consume common Parts AI capabilities without duplicating development.
• Prioritize AI work with teams using business value, demand, and support capacity.
• Share company and industry AI insights to encourage reuse of proven work and reduce duplication.
• Provide agent-building guidance
  , including instructions, templates, and reusable patterns for designing, testing, and deploying AI agents.
• Coach teams through use-case testing
  , alongside AI Champions, and help review results before expansion.
• Own program metrics
  , agree measures and baselines with teams, and…