
51 - 200 employees
Founded 2002
☁️ SaaS
🤝 B2B
🤖 Artificial Intelligence
💰 Private equity on 2022-11
SaaS • B2B • Artificial Intelligence
InRule is a decision automation platform that combines business rules management, process modeling, and AI/ML to design, test, and deploy governed decisions for mission-critical, regulated enterprise applications. It integrates with enterprise systems (Salesforce, Dynamics, Snowflake and APIs), supports cloud, container, on‑prem and JavaScript edge deployments, and emphasizes governance, explainability, and compliance for industries like insurance, banking, healthcare, and government.
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51 - 200 employees
Founded 2002
☁️ SaaS
🤝 B2B
🤖 Artificial Intelligence
💰 Private equity on 2022-11
SaaS • B2B • Artificial Intelligence
InRule is a decision automation platform that combines business rules management, process modeling, and AI/ML to design, test, and deploy governed decisions for mission-critical, regulated enterprise applications. It integrates with enterprise systems (Salesforce, Dynamics, Snowflake and APIs), supports cloud, container, on‑prem and JavaScript edge deployments, and emphasizes governance, explainability, and compliance for industries like insurance, banking, healthcare, and government.
• 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
• 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
• 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
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