Job Responsibilities:
- In-depth Research:
Investigate how AI technologies are reshaping business models, and develop AI product strategies by aligning industry trends with the company's overall strategy. - Product Design:
Design the functional modules of AI products by balancing technical feasibility and commercial value to ensure outstanding performance in both functional innovation and implementation. - Blockchain and Decentralization Expertise:
Possess a deep understanding of blockchain technology, decentralized applications (dApps), smart contracts, and decentralized ecosystems, and be capable of working closely with cross-functional teams to achieve product goals. - Market Profitability Analysis:
Analyze the profitability potential of AI products across different markets and industries, propose commercialization solutions, and drive their implementation. - Data-Driven Strategy:
Evaluate the impact of AI technology on user experience, operational efficiency, and business growth through market and data insights, thereby supporting product strategy decisions. - User-Centric Optimization:
Continuously optimize the core functions of AI products by conducting user research and data analysis to improve user stickiness and conversion rates. - Technology Trend Monitoring:
Keep up-to-date with cutting-edge AI technology developments and real-world commercial cases to identify potential opportunities for technological transformation. - Competitive Analysis:
Conduct deep analysis of industry competition and benchmark cases to provide differentiated innovation strategies for the company's AI products.
Job Requirements:
- Educational Background:
Bachelor's degree or above, preferably in fields such as Artificial Intelligence, Business Management, Economics, or Product Management. - Experience:
At least 2 years of experience in AI product management, with a track record in bringing commercial products to market. Candidates with a deep understanding of AI-driven business models are preferred. - Technical Knowledge:
Familiarity with the fundamental principles and application scenarios of AI models (e.g., NLP, CV, or recommendation algorithms), with the ability to communicate effectively with technical teams. - Commercialization Insight:
Demonstrated systematic research in business model innovation and technological commercialization paths, with the capability to transform technical potential into sustainable commercial value. - Strategic Thinking:
Possess strategic thinking skills, with the ability to design a deeply integrated approach between AI products and business models from a holistic perspective. - Analytical Skills:
Excellent logical analysis and problem-solving abilities to respond swiftly to complex and ever-changing business scenarios. - Market Insight and User Orientation:
Strong market awareness and user-centric mindset, capable of driving decisions with data and enhancing product competitiveness.