理想汽车AI Technology and Strategic Planning Researcher

【The Role】 This role sits at the intersection of frontier AI technology, product execution, and industry influence. You will help shape Xiaohongshu (rednote)'s AI strategy and technical direction, working closely with leadership, model and product teams, and the global AI ecosystem. This is not a passive research or planning role. You will turn frontier insights into real product, organizational, and strategic impact. 【What You’ll Do】 Track frontier AI shifts - Scout advances across foundation models, training and inference efficiency, multimodality, AI hardware, and AI-native applications - Identify inflection points that matter for consumer products and long-term competitive advantage Shape AI strategy with leadership - Produce deep research, strategic memos, and POV frameworks that inform executive decisions - Partner with product, engineering, and business leaders on AI roadmaps, investment priorities, and capability build-outs Work hands-on with teams - Collaborate with model, chatbot, and application teams to translate new capabilities into real use cases - Act as a strategic integrator on high-impact AI initiatives, from research to deployment Build ecosystem and brand - Develop relationships with leading AI labs, researchers, founders, investors, and open-source communities - Represent RedNote in high-signal industry conversations and strengthen our global technical brand 【职位概述】 结合前沿 AI 技术、产品落地与行业影响力，支持制定并推动 AI 战略与技术方向，与公司管理层、模型与产品团队紧密合作，并深度连接全球 AI 生态。 不是偏“研究/规划”的后台岗位，而是需要将前沿洞察转化为真实的产品、组织与战略影响，推动结果落地。 1. 跟踪前沿 AI 变化：持续跟进基础模型、训练与推理效率、多模态、AI 硬件、AI 原生应用等领域的最新进展；识别对消费级产品与长期竞争优势具有关键意义的技术拐点与趋势 2. 与管理层共塑 AI 战略：输出深度研究、战略备忘录与观点框架（POV），支撑管理层关键决策；与产品、工程、业务负责人共建 AI 路线图，明确投入优先级与能力建设路径（capability build-out） 3. 团队协作推进落地：与模型、对话/chatbot及应用团队协作，将新能力转化为可落地的产品用例；作为关键 AI 项目的战略整合者，推动从研究到部署的全流程协同与交付 4. 建设生态与技术品牌：与领先 AI 实验室、研究者、创业者、投资人及开源社区建立并维护关系；参与高质量行业交流，提升公司的全球技术品牌与行业影响力

Conduct strategic and market research in AI and technology sectors to identify growth opportunities in Middle East. Evaluate, structure, and execute corporate investment and M&A opportunities. Support fundraising activities and investor relations, working closely with the CEO to engage existing and potential investors. Collaborate with cross-functional teams (product, sales, legal, finance) to ensure alignment of corporate development initiatives with company goals.

1. Analyze and design overall service and business support systems based on customer value and strategic demands, incorporating insights from industry trends, cross-department communication, and organizational assessments. 2. Design end-to-end service and business support solutions from an AI perspective, addressing cognitive and usage barriers for users and operational bottlenecks in support processes. This includes modules for demand identification, feature exploration, tool processes, channel planning, knowledge content, and quality management. 3. Evaluate and deploy support strategies and capabilities for changes in business, including self-service, human support, and deferred service. Provide support solutions for service design and deployment upgrades. 4. Identify customer obstacles and pain points, and develop service solutions adapted from customer view, continuously improving and optimizing solutions to enhance overall customer experience. 5. Collaborate with product and R&D teams in strategy and capability deployment to ensure smooth delivery and timely results with high quality. 6. Accumulate mechanisms and standards for service design and operations to ensure continuity and inheritance. 1. 围绕客户价值及服务支持本质，结合不同阶段的战略诉求，通过对行业趋势的洞察、跨部门的沟通协作、组织保障的评估等方式，分析并设计整体服务及业务支持体系； 2. 结合AI视角，在基于客户服务诉求进行全链路服务及业务支持解决方案设计，以解决用户触达产品时的认知障碍、使用障碍和支持业务过程中的运营流程卡点。亦需要包括基于 诉求识别、特征挖掘、工具流程、渠道规划、知识内容、质量管理的多模块服务运营支持体系和规划来设计包括AI赋能的服务及业务支持解决方案； 3. 针对业务变动进行服务业务支持影响评估及策略部署，在服务及业务支持端进行自助、人工、迟滞承接的能力部署及开量支持，亦会针对业务支持的服务设计部署升级提供支持方案； 4. 洞察客户障碍和服务痛点，从客户视角出发输出适配服务渠道的解决方案，持续以项目等方式推动方案优化改善，从而提升整体客户体验； 5. 在策略及能力部署过程中端到端协同产品及研发团队一起保障交付链路顺畅，保质保量按时交付结果； 6. 沉淀服务设计和运营的机制和标准，保障持续性和传承性；

1. Analyze and design overall service and business support systems based on customer value and strategic demands, incorporating insights from industry trends, cross-department communication, and organizational assessments. 2. Design end-to-end service and business support solutions from an AI perspective, addressing cognitive and usage barriers for users and operational bottlenecks in support processes. This includes modules for demand identification, feature exploration, tool processes, channel planning, knowledge content, and quality management. 3. Evaluate and deploy support strategies and capabilities for changes in business, including self-service, human support, and deferred service. Provide support solutions for service design and deployment upgrades. 4. Identify customer obstacles and pain points, and develop service solutions adapted from customer view, continuously improving and optimizing solutions to enhance overall customer experience. 5. Collaborate with product and R&D teams in strategy and capability deployment to ensure smooth delivery and timely results with high quality. 6. Accumulate mechanisms and standards for service design and operations to ensure continuity and inheritance.