SaaS销售经理 北京 全职 互联网 / 电子 / 网游 职位描述 句子SaaS销售团队是句子互动SaaS服务的代言人。我们致力于为客户更快更省的搭建起私域提供工具帮助，解决私域运营问题。私域运营发展至今，头部品牌方已产生了大量最佳实践，作为私域运营的工具解决方和私域运营最佳实践的见证者，期待与你一起，持续学习最新的私域运营案例，与品牌方持续沟通，为客户解决实际产品问题，共同见证由企业微信为基础建设的私域时代的来临。岗位职责：1. 线上进行产品演示，针对客户需求解释产品能力，并售卖工具产品。2. 针对客户产品需求，协助技术完成API对接；根据客户需求，推动产品新需求迭代。3. 持续了解消费品私域、线下零售门店私域，拜访品牌客户，面对面为客户提供私域解决方案。 职位要求 任职要求：1. 全日制本科以上学历，1年~3年SaaS软件销售工作经验2. 学习能力足够强，可以快速学习，并有一定复盘能力。3. 较好的沟通能力，有跨部门协作经验优先。4. 有过往参与从0到1团队搭建或创业经验优先。 投递...
Navarino is an innovative global technology company with offices in Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan and Singapore and India. We develop technology solutions for the shipping industry and are
工作职责 负责 WISE-IoT 产品与解决方案的规划、设计及生命周期管理，深入理解工业客户业务场景与行业需求，推动产品从需求分析、产品定义到产品发布与持续迭代。 （1）产品规划与设计：负责产品 Roadmap 规划与版本管理，分析市场需求、行业趋势及竞争产品； （2）行业场景与项目实践：参与重点客户项目需求分析与方案设计; （3）产品开发与生命周期管理：协同研发团队完成产品开发与发布，持续提升产品竞争力与客户价值; （4）AI与智能化产品规划：参与下一代工业智能产品与解决方案规划; （5）跨团队协作：跨区域跨团队协作推动产品全球落地; 任职要求 （1）本科及以上学历，计算机、自动化、软件工程等相关专业; （2）5年以上 To B 软件产品经理经验，具备完整产品规划与生命周期管理经验; （3）熟悉企业软件、工业软件、SaaS 或工业互联网产品，有智能制造或能源管理行业经验者佳，有AI相关产品规划经验者佳； （4）具备优秀的逻辑分析能力、沟通能力及跨团队推动能力； （5）具备良好的英语听说读写能力，能够参与英文会议及需求讨论；...
物理 AI 云平台全栈开发工程师 上海 全职 研发 - 后端开发 职位描述 岗位职责负责物理 AI 云平台一个或多个核心业务模块的设计、开发与持续迭代，包括但不限于：1、开发者门户与开放平台建设负责 AI 云服务门户、产品官网、开发者控制台等产品的前后端开发。建设开发者开放平台，包括 API 文档中心、SDK 管理、应用管理、API Key 管理、在线调试、调用统计等能力。设计并实现 OpenAPI 接入能力，完成 HTTP/WebSocket API 封装、权限认证、流量控制等基础能力建设，提升开发者接入体验。2、商业化平台建设负责云平台商业化能力研发，包括：用户体系、身份认证、OAuth2 / SSO 登录、组织与权限管理；API Key、资源配额、套餐订阅等平台能力；计量计费、订单、支付、账单、发票等商业化系统开发；服务监控、资源使用分析、运营后台等运营支撑能力建设。3、AI 服务平台建设参与物理 AI 云平台相关业务系统研发，包括：数据众包平台仿真训练平台AI 服务管理后台数据管理及运营工具支持任务发布、训练任务管理、数据管理、结果分析、资源调度等业务能力建设，持续完善 AI 服务平台产品体验。4、平台架构优化与工程效率建设持续优化平台架构与系统性能，提高系统稳定性、可扩展性及高并发处理能力。参与云原生架构建设，持续优化 CI/CD、自动化测试、日志监控等研发流程。利用 AI
物理 AI 云平台研发负责人 上海 全职 研发 - 后端开发 职位描述 负责物理 AI 云平台的整体技术规划、架构设计、团队管理与项目交付，带领全栈研发团队建设开发者门户、开放平台、商业化系统及 AI 服务平台等核心能力。结合物理仿真引擎、仿真训练平台及数据生态等业务特点，推动公司核心技术能力的云服务化、标准化与商业化落地，保障平台高可用、高性能及持续迭代能力。核心工作职责1. 平台架构设计与技术规划负责物理 AI 云平台整体技术架构设计与技术规划，覆盖开发者门户、开放平台、API 网关、SDK、账号权限、服务管控、计量计费及生态运营等核心模块。结合物理仿真与 AI 训练业务特点，设计服务云化封装、标准化 API 输出、资源管理及算力调度等技术方案，提升平台服务的可扩展性与商业化支撑能力。负责云原生技术选型与架构演进，建设高可用、高并发、可观测的平台技术体系。2. 团队管理与研发效能建设带领全栈研发团队，负责人员招聘、技术培养、绩效管理及人才梯队建设。统筹平台研发项目，负责需求评审、技术方案评审、研发排期及风险管理，保障产品迭代与项目交付。建立研发规范、代码评审、质量管理及线上运维保障机制，持续提升研发效率与系统稳定性。推动 AI Coding Assistant 等智能研发工具在编码、测试、代码审查及问题排查等研发环节的应用。3. 商业化平台与核心技术建设负责账户、权限、API 管理、服务管控等平台基础能力的技术架构与研发落地。负责计量计费、订阅、账单账务等商业化系统建设，支撑按量付费、包年包月、资源包及企业套餐等业务模式。推动物理仿真引擎、仿真训练及相关 AI 能力的标准化 API 与 SDK 封装，降低开发者接入门槛，持续优化开放平台使用体验。4. 跨团队协同与业务支撑与仿真引擎、GPU
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