✦ Luna Orbit — Product Management

Product Manager - Embedded Innovation

at LexisNexis

📍 USA - Raleigh, NC (RDU) Unknown Posted March 16, 2026
Type Not Specified
Experience mid
Exp. Years 6+ years
Education Not specified
Category Product Management

A product management role focused on leading AI-driven internal solutions, emphasizing discovery, prioritization, and agile delivery of AI-first products within a corporate environment.

  • Partner with teams
  • Lead discovery and prioritization
  • Deliver AI solutions
  • Use data to iterate
  • Collaborate cross-functionally

Environment involves AI tools, workflow optimization, data analytics, and cross-functional collaboration to develop scalable AI solutions.

The ideal candidate is a mid-level product manager with experience in AI and enterprise solutions, skilled in discovery, prioritization, and delivering AI-first products in an agile environment. They should excel in cross-functional collaboration and data-driven decision making.

AI product developmentPartner with internal teamsDiscovery and prioritizationAgile deliveryData-driven decision making
Generative AI toolsEnterprise AI solutionsAutomation systems
AI toolsWorkflow toolsData analytics platforms
AIArtificial IntelligenceProduct ManagementWorkflowDiscoveryPrioritizationAgileMetricsData-DrivenCollaborationCross-functionalAI productGenerative AIAutomationEnterprise AI
AIArtificial IntelligenceProduct ManagementWorkflow OptimizationDiscoveryPrioritizationDeliveryAgileMetricsData-DrivenCollaborationCross-functional
PartnershipCommunicationProblem-solvingTeamworkAdaptability
Industry Legal & Compliance
Job Function Manage discovery, development, and delivery of AI-first internal products.
Role Subtype Product Manager
Tech Domains Artificial Intelligence, Workflow Optimization, Data Analytics
product managerAIArtificial Intelligenceworkflowdiscoveryprioritizationagilemetricsdata-drivencollaborationcross-functionalAI productgenerative AIautomationenterprise AIproduct managementAI tools

No AI product experience, Lack of collaboration skills, No experience with agile delivery, Unfamiliar with AI tools or enterprise AI

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