Own the strategy and execution for InRule's AI, data, and integration positioning
Map and continuously monitor the AI market ecosystem
Translate market signals into a validated, defensible InRule position in the agentic AI landscape
Originate product requirements that identify opportunities, set goals, and define success metrics
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
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
Benefits
Competitive compensation and benefits
Flexible work environment
Opportunity to build and shape a premium support function with measurable customer impact
Collaborative culture with close partnership across Support, Engineering, Product, and Customer Success
Professional growth within a scaling SaaS organization