AI Product Manager (Knowledge and Retrieval Systems)

At Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. Our people make us who we are, and we create incredible products and experiences that empower us to THINK OUTSIDE. Position Overview: As the AI Product Manager for Knowledge and Retrieval Systems, you will define the vision, strategy, and roadmap for how Polaris captures, organizes, retrieves, and delivers enterprise knowledge through AI-powered solutions. You will lead Retrieval-Augmented Generation (RAG) and knowledge-retrieval initiatives that support a variety of business functions. You will partner cross-functionally with business leaders, IT teams, and external vendors to deliver accurate, trusted, and scalable knowledge experiences. This role offers the opportunity to shape enterprise AI capabilities that improve knowledge access, employee productivity, service effectiveness, and customer outcomes across Polaris.

• Own the product vision, strategy, and roadmap for enterprise knowledge retrieval and AI-powered service experiences.
• Lead the strategy for RAG platforms, knowledge repositories, semantic search, vector databases, knowledge graphs, and AI-powered knowledge delivery.
• Partner with business leaders to identify, prioritize, and deliver AI retrieval use cases that improve productivity, service quality, and customer experiences.
• Define strategies for ingesting, chunking, contextualizing, and governing enterprise content to ensure AI systems retrieve accurate, trusted, and current information.
• Collaborate with AI Engineering, Data and Analytics, software engineering, and vendor teams to improve retrieval quality, relevance, grounding, citation accuracy, and user experience.
• Lead the development of AI agents that use enterprise knowledge to support troubleshooting, technical assistance, and information discovery.
• Define and monitor performance measures such as answer quality, query success rates, citation accuracy, user satisfaction, productivity, and service effectiveness.
• Partner with Security, Legal, and Compliance teams to establish governance and controls for enterprise knowledge access and responsible AI use.
• Lead organizational adoption of AI-assisted knowledge delivery and establish feedback loops with technicians, dealers, support teams, and business stakeholders.
• Evaluate emerging AI search and enterprise AI platform technologies.
• Own and manage the budget for related AI productivity initiatives, including forecasting, spending optimization, and measurement of return on investment. Desired Competencies:
• Technical / Functional Expertise: You apply the required technical or professional knowledge to perform your role effectively and stay current within your area of expertise.
• Business Acumen: You understand how your work impacts financial performance, operational efficiency, and organizational goals, and you make decisions with the broader business context in mind.
• Collaboration: You work effectively with others across functions and levels, contributing to shared goals while respecting different perspectives.

• Bachelor’s degree in Technology, Business, or a related field.
• Minimum of 10 years of progressively responsible experience within IT.
• Minimum of 5 years of experience in enterprise technology transformation, digital workplace, or product or program management.
• Minimum of 2 years of hands-on experience owning and executing Retrieval-Augmented Generation (RAG) processes in a corporate environment.
• Experience managing AI, search, knowledge management, or data-centric products throughout the product lifecycle.
• Technical experience with large language models, semantic search, embeddings, vector databases, knowledge graphs, Python, and AI-powered information retrieval.
• Experience measuring and optimizing AI solution quality through retrieval evaluation, grounding, citation accuracy, and user-feedback mechanisms.
• Understanding of responsible AI, data governance, security, and compliance requirements within enterprise environments.
• Demonstrated experience establishing product vision and roadmaps, leading cross-functional initiatives, and delivering measurable business value.
• Experience leading organizational change, driving user adoption, managing stakeholders, and communicating with executive and end-user audiences.
• Experience owning budgets and developing business cases with measurable return on investment.