Remote Lead Product Manager – AI-Powered Enterprise Search

Hyland Software; United States; Remote; USD 163,000 - 185,000; Full time

Job summary

Hyland is seeking a Lead Product Manager to steer a core AI-driven product within the Content Innovation Cloud, focusing on secure enterprise search, insights, and decision-making across regulated industries. You will own strategy, roadmap, and execution, collaborating with engineering, marketing, solution engineers, sales and leadership.

This remote US role offers a competitive compensation range and opportunities to shape AI capabilities such as RAG and agent-based workflows while driving

Qualifications

• 5+ years of proven experience as a Product Manager owning complex technology products.
• Strong understanding of enterprise software and full product lifecycle management.
• Ability to collaborate with engineering, stakeholders, and cross-functional teams.
• Excellent communication skills and ability to translate technical concepts into business value.
• Strong analytical and problem-solving capabilities with focus on product impact.

Responsibilities

• Own and evolve the product roadmap to balance near-term delivery with long-term AI-powered innovations.
• Lead customer discovery through interviews, pilots, and feedback loops to validate problems and value.
• Define requirements for AI-powered capabilities including search, retrieval, enrichment, and agent-based workflows.
• Monitor AI and enterprise search landscape and apply insights to roadmap and positioning.
• Partner with Marketing and Sales to articulate product value and support enablement materials and demos.

Job description

Hyland is seeking a Lead Product Manager to steer a core AI-driven product within the Content Innovation Cloud, focusing on secure enterprise search, insights, and decision-making across regulated industries. You will own strategy, roadmap, and execution, collaborating with engineering, marketing, solution engineers, sales and leadership.

This remote US role offers a competitive compensation range and opportunities to shape AI capabilities such as RAG and agent-based workflows while driving