Product Manager (AI & EdTech)
Summary
Product Manager owning the roadmap and strategy for an AI-driven EdTech learning platform — coordinating with engineers on AI models, leading demos, and managing vendor and stakeholder relationships.
Responsibilities
- Develop and maintain strategic relationships with key vendors, partners, and senior stakeholders to drive AI-driven EdTech innovation.
- Ensure exceptional customer experience by optimizing AI-powered learning solutions and exceeding service-level agreements (SLA).
- Conduct market research and analyze trends in AI-driven online education to guide product strategy and innovation.
- Forecast sales and business performance, leveraging AI-driven insights to identify opportunities and risks.
- Lead AI-powered product demonstrations for prospective clients, showcasing intelligent learning solutions.
- Provide training and support for the company's AI-driven learning platform across industries, including education institutions, corporate training, and government organizations.
- Act as a bridge between technical and non-technical teams, translating AI technology concepts into actionable business strategies.
- Define and manage the product roadmap, prioritizing AI and automation features to enhance learning experiences.
- Collaborate with engineers to refine AI models, ensuring optimal performance in adaptive learning and personalized education.
- Undertake additional projects and responsibilities as required to support business objectives.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Artificial Intelligence, or a related discipline.
- Minimum 3 years of experience in product management, AI solutions, or EdTech-related fields.
- Strong understanding of AI applications in education, such as adaptive learning, NLP-powered chatbots, and predictive analytics.
- Excellent communication skills (both written and verbal) to engage with technical teams, stakeholders, and clients.
- Ability to translate complex AI concepts into user-friendly product features.
- Strong analytical skills with experience in business forecasting and market analysis.
- Self-driven, highly motivated, and passionate about AI in education.
- Experience working with learning management systems (LMS), AI-powered tutoring, or educational data analytics is a plus.