Product Manager – AI Systems

🕒 il y a 2 mois

🌽 Illinois – Distant

🌽 Illinois – Remote

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

✅ Responsable Produit

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

InRule

Site WebLinkedInTous les Emplois

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.

Description

• 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 • 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 • Own the end-to-end strategy, go-to-market positioning and execution roadmap for InRule's AI, agent and MCP initiatives

🎯 Exigences

• 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

🏖️ Avantages

• 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