Senior Product Manager Platform & AI Systems (LMS)

Are you ready to build the intelligent engines that power world-class global learning experiencesnnThe Worldwide Channel Strategy u0026 Operations (CSO) team is dedicated to developing global sales platforms that deliver exceptional customer experiences and drive tangible business outcomes. We are looking for a visionary and deeply technical Senior Product Manager to define and scale the backend architecture admin tools and audience management systems that fuel our Learning Management System (LMS) and next-generation AI this role you will be the driving force behind our backend product strategy. You will ensure our systems are not only robust scalable and compliant but also intelligent enough to support cutting-edge AI features and seamless global deployment. If you are passionate about bridging the gap between complex technical architecture and seamless user experiences we want to hear from you.n

Drive the Vision: Define and execute the backend product strategy and roadmap for our admin tools and Audience Management. You will translate complex business operational and AI/ML needs into elegant scalable system AI Innovation: Design and deliver the backend capabilities (data models APIs integrations) required to support advanced AI-driven features like personalization chatbots and recommendation engines. You will enable the secure scalable integration of ML models into for Scale u0026 Trust: Architect enterprise-grade backend solutions that are highly reliable and secure. You will own user management compliance workflows and system configurations ensuring we meet strict global deployment privacy and audit u0026 Lead: Act as the critical bridge between engineering data science technical program managers (TPMs) and front-end PMs to drive execution from initial concept to a flawless global What Matters: Define and track key product success metrics (adoption system performance admin efficiency reliability). You will leverage data to ruthlessly prioritize your well-structured backend backlog and drive continuous improvement.

8 years of product management experience with a strong focus on backend platform or enterprise experience building scaling or integrating Learning Management Systems (LMS) EdTech platforms or Sales Enablement technical understanding of APIs data models system architecture and complex track record of building admin tools configuration systems and scalable product solutions from complex technical experience thriving in Agile environments and collaborating seamlessly with cross-functional technical and business degree in Computer Science Engineering Business or equivalent practical experience.

AI/ML Expertise: Experience integrating Machine Learning models LLMs or AI-driven features into production systems at Scale: Experience launching enterprise software on a global scale with a strong understanding of international data privacy regulations (e.g. GDPR CCPA) and compliance Depth: Previous hands-on background in software engineering data engineering or system architecture before transitioning to product Education: Masters degree in a technical field or an MBA.