深度智联“地产AI先锋”招募计划，寻找AI时代行业“新物种”

Core Viewpoint - The "Real Estate AI Pioneer" recruitment plan initiated by Deep Intelligence aims to create a new ecosystem in the real estate industry by integrating AI into various roles, emphasizing collaboration and co-creation rather than traditional hiring methods [2][4][11]. Group 1: Recruitment Plan Overview - The recruitment plan is not a conventional hiring process but an invitation for industry professionals to co-create new AI roles, focusing on the evolution of human-machine collaboration in the real estate sector [2][4]. - Deep Intelligence seeks to build an elite organizational system comprising formal employees, channel partners, and ecological partners, allowing selected individuals to directly participate in product iteration and market expansion [4][11]. Group 2: New Roles Introduced - GEO General Real Estate Cognitive Optimizer: This role focuses on shaping AI's understanding of real estate brands and products, moving beyond traditional marketing to create a structured semantic asset matrix for better consumer engagement [5][6]. - Digital Employee Recommendation Officer: This position aims to enhance organizational efficiency by integrating digital employees into real estate teams, addressing high labor costs and low efficiency through innovative management processes [7][8]. - OPC Human-Machine Collaboration Researcher: This role targets real estate investment research experts who will leverage AI to enhance productivity, focusing on strategic decision-making and client engagement while automating repetitive tasks [9][10]. Group 3: Industry Context and Future Outlook - The real estate industry is undergoing significant transformation, with AI rapidly permeating every aspect of the sector, necessitating a shift in skills and capabilities among professionals [2][11]. - The recruitment plan is positioned as a response to the dual challenges of industry adjustment and technological innovation, aiming to foster a new breed of professionals who can thrive in an AI-driven environment [2][11][13].