蚂蚁金服蚂蚁国际-大客户经理-Antom

Join Siemens Digital Industries for the world of tomorrow! Siemens Digital Industries (DI) is an innovator in industrial automation and digitalization. We seamlessly connect the physical and digital worlds with our Digital Enterprise solutions, with the help of a comprehensive "digital twin" for continuous cycle optimization. At the same time, we leverage unlimited data to empower unlimited opportunities for fast and confident decision-making, injecting acceleration into the transformation and sustainable development of industrial enterprises. Role Purpose： Own, orchestrate, and accelerate Siemens’ most critical customer relationships—transforming them into enduring, profitable, and strategically aligned partnerships that drive growth across all Siemens business units and geographies. You’ll make an impact by： Strategic Partnership Development • Translate advanced customer analytics, market intelligence, and Siemens portfolio roadmaps into a 3–5-year partnership strategy. • Secure explicit alignment between customer C-level objectives and Siemens corporate priorities. • Create and execute long-term development plans (incl. investment cases, co-innovation roadmaps, M&A leads) and adjust them dynamically as markets evolve. Customer Relationship Management & Growth • Establish a multi-tier engagement framework—from plant-floor to C-suite—supported by executive sponsorship on both sides. • Continuously surface latent needs and white-space opportunities (incl. overseas markets) and convert them into qualified pipeline. • Serve as the single, empowered “customer CEO” inside Siemens—advocating customer interests while safeguarding Siemens profitability. Cross-Functional & Multi-Regional Leadership • Select and lead virtual opportunity-acquisition squads (Sales, Verticals, Domains, Supply Chain, Finance, Legal etc.) across Sales Regions; remove roadblocks to flawless implementation. • Drive global alignment on contract renewals, pricing, T&Cs, and risk exposure. • Influence senior Siemens executives to secure resources, executive air-cover, and Board-level visibility for strategic initiatives. Business Growth & Market Intelligence • Monitor macro trends, competitor moves, regulatory shifts, and technology disruptions; distill into quarterly insight briefs that trigger joint pivots or new offerings. • Represent Siemens at flagship industry events, standards bodies, and strategic forums—building reputation and expanding the top-of-funnel. Strategic Key Account Planning & Execution • Perform deep-dive analysis of customer markets, competitive position, and unmet needs; identify scalable product, solution, and service plays. • Maximize account penetration and profitable growth for Siemens with cross-sell/up-sell plays. Pipeline & Opportunity Management • Own the entire opportunity funnel—from ideation to order. • Drive execution through direct teams and all indirect channels (distributors, JV partners, system integrators). Team Orchestration & Customer Engagement • Functionally lead the core account team in partnership with vertical and line management; set individual growth targets tied to customer outcomes. • Maintain sustainable relationships at every hierarchical level, including multi-year succession planning for key contacts. • Demonstrate personal, long-term commitment. Sales Administration & Reporting • Maintain a living Account Business Plan updated regularly. • Ensure CRM hygiene (e.g., Salesforce) with real-time opportunity data, competitive intelligence and risk logs.

我们是小红书中台大模型 Infra 团队，专注打造领先易用的「AI 大模型全链路基础设施」！团队深耕大模型「数-训-压-推-评」技术闭环，在大模型训练加速、模型压缩、推理优化、部署提效等方向积累了深厚的技术优势，基于 RedAccel 训练引擎、RedSlim 压缩工具、RedServing 推理部署引擎、DirectLLM 大模型 API 服务、QuickSilver 大模型生产部署平台等核心产品，持续赋能社区、商业、交易、安全、数平、研效等多个核心业务，实现 AI 技术高效落地！ 1、参与设计实现支持RLHF/DPO等对齐技术的高效训练框架，优化强化学习阶段的Rollout、Reward Model集成、多阶段训练 Pipline； 2、研发支持多机多卡 RL 的分布式训练框架，开发TP/PP/ZeRO-3与RL流程的动态协同机制，解决 RL 算法在超长时序下的显存/通信瓶刭 3、构建端到端后训练工具链，主导框架与 MLOps 平台集成，提供训练可视化、自动超参搜索等生产级能力 4、与公司各算法部门深度合作，参与大语言模型LLM、多模态大模型 MLLM等业务在 SFT/RL领域的算法探索和引擎迭代； 5、参与分析各业务 GPU 利用率与饱和度等指标，结合业务场景持续优化训练框架能力，提升框架领先性。

【业务介绍】 作为公司统一的机器学习平台团队，负责调度公司所有模型训练与推理资源；基于自建的训推引擎，构建公司统一的机器学习平台，为公司所有算法同学（稀疏 & 稠密，含 LLM） 模型迭代提供端到端的一站式服务；包括 数据生产，模型训练，模型上线，特征管理，模型测试，资源管控等一系列能力。 【岗位职责】 1、负责机器学习链路，离在线数据相关的开发工作，包括样本数据、特征数据等的数据链路搭建、任务运维和调优、性能优化等 2、负责小红书大规模机器学习平台的后台系统设计和开发工作；包括样本平台，特征平台，训练平台，推理平台等AI应用后台建设等； 3、研究分析业内AI平台产品，优化技术方案，改进产品功能，完善产品体验。

我们是小红书中台大模型 Infra 团队，专注打造领先易用的「AI 大模型全链路基础设施」！团队深耕大模型「数-训-压-推-评」技术闭环，在大模型训练加速、模型压缩、推理优化、部署提效等方向积累了深厚的技术优势，基于 RedAccel 训练引擎、RedSlim 压缩工具、RedServing 推理部署引擎、DirectLLM 大模型 API 服务、QuickSilver 大模型生产部署平台等核心产品，持续赋能社区、商业、交易、安全、数平、研效等多个核心业务，实现 AI 技术高效落地！ 工作职责： 1、参与/负责研发面向大语言模型(LLM)/多模态大模型(MLLM)等类型模型的推理服务框架； 2、参与/负责KV Router、PD分离/EPD分离、KVCache管理、动态PD调整等分布式推理能力建设； 3、通过并行计算优化、分布式架构优化、异构调度等多种框架技术，打造高效、易用、领先的AI推理框架； 4、参与/负责构建推理框架的系统容错能力，包括但不限于请求迁移、优雅退出、故障检测、自愈等能力建设； 5、深度参与周边深度学习系统多个子方向的工作，包括但不限于模型管理、推理部署、日志/监控、工作流编排等； 6、与全公司各业务算法部门深度合作，为重点项目进行算法与系统的联合优化，支撑业务目标达成。