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

When needed, you'll act as a "sweeper" PM, filling product management gaps.

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

What we're looking for

• 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

What we offer

• 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.