Strategic AI Product Manager, Enterprise Operations

BlackCube Labs; Madison (WI); On-site; USD 120,000 - 160,000; Full time

Job summary

URUS, a global agricultural technology leader, seeks an AI Product Manager, Enterprise Operations in Madison, WI. You will partner with leaders across Commercial, Finance, People, and other corporate functions to identify high-value AI opportunities and guide solutions from discovery through adoption and performance measurement.

You will combine product management, process improvement, and change leadership with practical AI knowledge to assess value, risk, and ensure scalable, measurable

Qualifications

• Bachelor’s degree in business, technology, computer science, data science, engineering, or related field.
• At least three years of experience in product management, business transformation, process improvement, technology implementation, or related role.
• Experience delivering AI/ML-enabled products, workflows, automation, or internal tools from discovery through implementation and adoption.
• Product ownership experience, including managing roadmaps and backlogs, writing user stories, defining acceptance criteria, and prioritizing work.
• Demonstrated ability to analyze business processes, identify improvement opportunities, and translate needs into practical technology solutions.
• Experience developing business cases and measuring outcomes such as ROI, cost savings, productivity, quality, or user adoption.
• Experience leading cross-functional initiatives involving both business and technical stakeholders.
• Experience supporting organizational change through adoption planning, training, communications, and feedback.
• Practical knowledge of generative AI, large language models, AI-enabled automation, and emerging agentic capabilities.
• Strong communication skills and the ability to make complex technology concepts understandable to nontechnical audiences.

Responsibilities

• Partner with business leaders and functional teams to uncover operational challenges, inefficiencies, and opportunities where AI could create value.
• Evaluate and prioritize AI opportunities based on business impact, technical feasibility, data readiness, risk, adoption effort, and strategic alignment.
• Develop clear problem statements, business cases, product requirements, user stories, acceptance criteria, and success measures.
• Own and continuously refine the AI product roadmap and opportunity backlog, ensuring work is appropriately prioritized, sequenced, and ready for execution.
• Guide AI-enabled solutions from discovery and experimentation through proof of concept, MVP, production release, adoption, measurement, and iteration.
• Collaborate with AI engineers, data scientists, architects, project managers, business stakeholders, and external partners to design and deliver effective solutions.
• Assess data readiness, governance, privacy, security, model quality, implementation risk, and long-term support needs before solutions move into production.
• Lead adoption efforts through stakeholder engagement, communication, education, training, documentation, and feedback.
• Establish performance measures that connect AI initiatives to outcomes such as operational efficiency, cost savings, quality, user adoption, and business impact.
• Communicate priorities, progress, risks, tradeoffs, ROI, and recommendations to business and technology leaders.

Skills

AI product management

Stakeholder communication

Business case development

Process improvement

Cross-functional leadership

Change management

Data literacy

Problem solving

Education

Bachelor's degree or equivalent

Tools

AI/ML platforms knowledge

Roadmapping tools (Jira/Planner)

Job description

URUS, a global agricultural technology leader, seeks an AI Product Manager, Enterprise Operations in Madison, WI. You will partner with leaders across Commercial, Finance, People, and other corporate functions to identify high-value AI opportunities and guide solutions from discovery through adoption and performance measurement.

You will combine product management, process improvement, and change leadership with practical AI knowledge to assess value, risk, and ensure scalable, measurable