
51 - 200 employés
Fondée en 2002
☁️ SaaS
🤝 B2B
🤖 Intelligence artificielle
💰 Private equity en 2022-11
SaaS • B2B • Artificial Intelligence
InRule est une plateforme d'automatisation des décisions qui combine la gestion des règles métier, la modélisation des processus, et l'IA/ML pour concevoir, tester et déployer des décisions encadrées pour des applications d'entreprise critiques et réglementées. Elle s'intègre aux systèmes d'entreprise (Salesforce, Dynamics, Snowflake et API), prend en charge les déploiements cloud, conteneur, sur site et JavaScript edge, et met l'accent sur la gouvernance, l'explicabilité et la conformité pour des secteurs comme l'assurance, la banque, la santé et le gouvernement.
🕒 il y a 2 mois
🗣️🇺🇸🇬🇧 Anglais requis
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51 - 200 employés
Fondée en 2002
☁️ SaaS
🤝 B2B
🤖 Intelligence artificielle
💰 Private equity en 2022-11
SaaS • B2B • Artificial Intelligence
InRule est une plateforme d'automatisation des décisions qui combine la gestion des règles métier, la modélisation des processus, et l'IA/ML pour concevoir, tester et déployer des décisions encadrées pour des applications d'entreprise critiques et réglementées. Elle s'intègre aux systèmes d'entreprise (Salesforce, Dynamics, Snowflake et API), prend en charge les déploiements cloud, conteneur, sur site et JavaScript edge, et met l'accent sur la gouvernance, l'explicabilité et la conformité pour des secteurs comme l'assurance, la banque, la santé et le gouvernement.
• Define and evolve the strategy for InRule’s core systems including runtime, storage, APIs, integrations, governance, and deployment models. • Translate ODI research into durable product capabilities that measurably improve outcomes for developers and the Product Lifecycle Support Team (IT). • Drive the evolution of SaaS and self-hosted container delivery, including regional hosting and environment management. • Establish clear migration frameworks that allow customers to move from legacy onpremise deployments to modern architectures safely and predictably. • Unify core infrastructure and capabilities across acquired products into a coherent platform foundation. • Own API and SDK strategy to maximize extensibility, partner enablement, and AI integration readiness. • Improve telemetry, usage instrumentation, and operational visibility to support enterprise governance and consumption-aligned pricing models. • Partner with the AI and Data Product Manager to ensure runtime, integration, and delivery capabilities support AI-driven product evolution. • Identify and prioritize platform investments that increase internal engineering velocity and reduce architectural fragmentation.
• 5–10+ years in B2B SaaS product management, including experience with systems, platforms, or infrastructure-oriented products. • Prior experience as a software engineer, architect, or highly technical product leader. • Strong understanding of APIs, distributed systems, SaaS architecture, and containerized environments. • Experience working with developer and enterprise IT personas. • Ability to connect product strategy to measurable customer and business outcomes.
• 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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