Senior Product Manager - Platform & AI Systems (LMS)

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 designs. Power 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 production. Build for Scale & 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 requirements. Collaborate & 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 launch. Measure 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 systems. Deep technical understanding of APIs, data models, system architecture, and complex integrations. Proven track record of building admin tools, configuration systems, and scalable product solutions from complex technical requirements. Strong experience thriving in Agile environments and collaborating seamlessly with cross-functional technical and business teams. Bachelor's 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. Domain Knowledge: Prior experience building, scaling, or integrating Learning Management Systems (LMS), EdTech platforms, or Sales Enablement tools. Global Scale: Experience launching enterprise software on a global scale, with a strong understanding of international data privacy regulations (e.g., GDPR, CCPA) and compliance standards. Technical Depth: Previous hands-on background in software engineering, data engineering, or system architecture before transitioning to product management. Advanced Education: Master's degree in a technical field or an MBA.

For more details click Job Post.