Note: The job is a remote job and is open to candidates in USA. InRule Technology®, Inc. is a PE-backed SaaS company with a focus on decision intelligence and AI systems. The Product Manager for AI Systems will be responsible for defining and executing the strategy for InRule's AI, data, and integration positioning, ensuring the company captures market opportunities while managing product experience across various teams.
Responsibilities
- 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
- 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
Skills
- 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
- 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
Benefits
- 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.
Company Overview