About the roleYou 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 doInRule 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.
The pay range for this role is:
150,000 - 200,000 USD per year (InRule Chicago)
150,000 - 200,000 USD per year (Remote (United States))
