Overview
Product Vision & Strategy: Develop and refine the long-term vision, strategy, and roadmap for AI products (especially for use in education sector) aligning them with business objectives and market trends.
Responsibilities
- Product Lifecycle Management: Oversee the entire AI product lifecycle, from initial ideation and hypothesis validation to development, deployment, and ongoing optimization.
- Cross-Functional Leadership: Lead and collaborate with diverse teams, including external data scientists, AI engineers, designers, legal, and marketing, to ensure seamless product development and launch.
- Market & User Understanding: Conduct market research, user interviews, and data analysis to identify customer needs, validate AI hypotheses, and uncover new opportunities for AI applications.
- Technical Oversight: Work with external data scientists and engineers to translate complex AI concepts into tangible features, evaluate AI model suitability, and ensure the scalability and performance of AI solutions.
- Go-to-Market & Commercialization: Collaborate with sales and marketing teams on go-to-market strategies and product launches, and evangelize product usage and value to stakeholders.
- Ethical & Compliance: Ensure the ethical and compliant use of AI and data, adhering to relevant regulations and best practices throughout the product development process.
- Innovation & Thought Leadership: Stay abreast of emerging AI trends to drive innovation, position the company as a leader, and explore new AI use cases for business growth.