What are the responsibilities and job description for the Product Manager - AI Systems position at InRule?
InRule Technology®, Inc. is a PE-backed SaaS company with hundreds of customers in more than 40 countries. Our integrated Decision Intelligence Platform (DIP) combines decisioning, process automation, and machine learning to help IT and business leaders make better decisions faster, operationalize AI, and improve complex processes.
We are trusted by some of the world’s largest banks, insurance companies, healthcare organizations, and governments for mission-critical applications. By making automation accessible, InRule increases productivity, drives revenue, and delivers exceptional business outcomes.
About The Role
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
What You'll Do
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:
We are trusted by some of the world’s largest banks, insurance companies, healthcare organizations, and governments for mission-critical applications. By making automation accessible, InRule increases productivity, drives revenue, and delivers exceptional business outcomes.
About The Role
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
What You'll Do
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
- Required
- 5–10 years in B2B SaaS product management, including platform strategy, AI / ML products, and data products
- Demonstrated ability to analyze rapidly shifting technology markets and translate signals into actionable product strategy
- Prior experience as a software engineer, architect, or highly technical product leader
- Understand API and AI architectures and data integration patterns
- Familiarity with agentic AI patterns and tooling — including LLM agents, tool use, AI harnesses, and memory systems — and experience working closely with engineers on system-level product decisions
- Ability to derive strategy from measurable customer and business outcomes
- Exceptional written communication skills — able to craft compelling external narratives, product specs, and executive-level strategic documents
- Experience with iPaaS platforms and enterprise integration ecosystems
- Preferred
- Experience in or deep familiarity with highly regulated industries
- Background in data products, data monetization, or analytics platform strategy
- Exposure to agentic AI frameworks, LLM orchestration, or AI governance, Eu AI Act
- Experience with model explainability and AI auditability in regulated environments
- Familiarity with Outcome-Driven Innovation (ODI) or jobs-to-be-done methods
- Competitive compensation and benefits.
- Flexible work environment.
- The opportunity to build and shape a premium support function with measurable customer impact.
- A collaborative culture with close partnership across Support, Engineering, Product, and Customer Success.
- Professional growth within a scaling SaaS organization.