AI Product Manager

Join Workwize, a company dedicated to helping businesses manage their IT equipment for distributed teams across 100+ countries. As an AI Product Manager, you will own the product vision for integrating AI and automation into our platform, working hands-on with AI tooling to design, build, and continuously improve agents that handle complex operational workflows. You will partner with Engineering, Operations, and Customer Success to understand workflows, align priorities, and deliver outcomes. This is a dynamic role with opportunities for growth and impact in the field of AI and automation.

• Posséder la vision du produit pour la manière dont les agents d'IA et l'automatisation transforment la plateforme.
• Travailler en collaboration avec l'ingénierie pour concevoir et expédier des fonctionnalités alimentées par l'IA en production.
• Suivre les avancées pertinentes dans les agents d'IA et l'automatisation, et les transformer en paris clairs sur le produit.
• Practical experience with AI/LLM tooling such as LangSmith, LangChain, or similar platforms for building, evaluating, and improving AI agents
• Strong understanding of how LLMs, AI agents, and prompt engineering work at a product level. You do not need to train models, but you need to understand how to make agents work well and get better over time
• Comfort with prototyping tools or low-code platforms to quickly test AI concepts
• 3+ years of Product Management experience in SaaS, with hands-on experience working on AI/ML-powered products or features in the past years
• Experience with operational or logistics-heavy products where automation has a direct impact on efficiency
• Excellent communicator who can translate between technical and business audiences
• Experience shipping AI-powered features to production and iterating on them based on real usage data and evaluation results
• Data-driven decision maker. You are comfortable owning KPIs and using analytics to guide priorities
• Familiarity with agent design patterns, multi-step workflows, and techniques for improving agent reliability
• Solid product judgment. You consistently simplify complexity and make good tradeoffs
• High-ownership operator. You take initiative, unblock teams, and do not wait around for permission
• Experience in IT asset management, HR tech, or distributed workforce tooling
• If you get excited about building AI agents that actually work in production, and you care about making them better every week, we want to talk to you