You will own the strategy and execution for InRule's AI, data, and integration positioning, defining where InRule sits in a rapidly evolving AI ecosystem and ensuring the company captures the market opportunity that its 20-year history in highly regulated industries uniquely enables. You'll manage strategy and feature execution, partnering closely with revenue, engineering, architecture, and product teams to ensure the total product experience: Aligns to prioritized customer outcomes of purchase decision makers, core job executors and product lifecycle support teams identified through InRule's Outcome-Driven Innovation (ODI) practice Positions InRule as governed decision infrastructure for the agentic enterprise Supports durable growth across products, customer types, and delivery models Drives InRule's enterprise value in the age of AI When needed, you'll act as a "sweeper" PM, filling product management gaps. InRule defines product as the total product experience: the sum of all interactions, perceptions and emotions customers experience with InRule's employees, systems, channels, integrations and products, pre-sales through post-sales delivery, loyalty, and advocacy. The total product experience is InRule's brand. Through this lens you'll: Map and continuously monitor the AI market ecosystem Translate market signals into a validated, defensible InRule position in the agentic AI landscape — with particular focus on the governance and auditability requirements of highly regulated industries 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, measured by outcomes such as time-to-value, decision latency, and failure recovery rates Own the end-to-end strategy, go-to-market positioning and execution roadmap for InRule's AI, agent and MCP initiatives Partner with peers to develop InRule's data product strategy and execution Align iPaaS and data integration capabilities with the broader AI and platform
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees