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.