Product Manager - AI Systems
About The Position
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, positions InRule as governed decision infrastructure for the agentic enterprise, supports durable growth across products, customer types, and delivery models, and drives InRule's enterprise value in the age of AI. When needed, you'll act as a "sweeper" PM, filling product management gaps.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
