Product Manager - AI Systems

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.

Responsibilities

• 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
• 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

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

Qualifications

• 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
• Familiarity with model explainability and AI auditability in regulated environments
• Familiarity with Outcome-Driven Innovation (ODI) or jobs-to-be-done methods

Skills

• 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

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

Pay

The Pay Range For This Role Is 150,000 - 200,000 USD per year