InRule

Product Manager

• Own the strategy and execution for InRule's AI, data, and integration positioning
• Map and continuously monitor the AI market ecosystem
• Translate market signals into a validated, defensible InRule position in the agentic AI landscape
• Contribute to emerging technology readiness assessments and executive-level strategic narratives that maximize InRule's enterprise value
• Originate product requirements that identify opportunities, set goals, and define success metrics
• Own the end-to-end strategy, go-to-market positioning and execution roadmap for InRule's AI, agent and MCP initiatives

Product Manager – AI Systems

• Define and evolve the strategy for InRule’s core systems including runtime, storage, APIs, integrations, governance, and deployment models.
• Translate ODI research into durable product capabilities that measurably improve outcomes for developers and the Product Lifecycle Support Team (IT).
• Drive the evolution of SaaS and self-hosted container delivery, including regional hosting and environment management.
• Establish clear migration frameworks that allow customers to move from legacy onpremise deployments to modern architectures safely and predictably.
• Unify core infrastructure and capabilities across acquired products into a coherent platform foundation.
• Own API and SDK strategy to maximize extensibility, partner enablement, and AI integration readiness.
• Improve telemetry, usage instrumentation, and operational visibility to support enterprise governance and consumption-aligned pricing models.
• Partner with the AI and Data Product Manager to ensure runtime, integration, and delivery capabilities support AI-driven product evolution.
• Identify and prioritize platform investments that increase internal engineering velocity and reduce architectural fragmentation.

Product Manager – AI Systems

Product Manager – Core Systems