MomentaReboDelivery运营负责人
任职要求
1. 基本要求 学历背景：本科及以上学历，物流工程、交通运输、工业工程、运筹学、统计学或相关专业优先；硕士/MBA加分。 工作经验：5年以上物流/即时配送/出行行业的策略运营、运力规划或商业分析经验；其中至少2年自动驾驶、无人车或智慧交通领域经验者优先。 2. 专业技能 数据能力：具备极强的数据敏感度，熟练使用SQL/Python等进行数据提取与分析，能够独立完成复杂的数据建模与业务推演。 建模能力：熟悉运筹优化算法（…
工作职责
作为无人物流车商业化落地的策略大脑，负责构建基于数据的规模化运营体系。通过运筹优化、网络规划与定价策略，平衡用户体验与单车经济模型（ROI），推动L4级无人配送从“试点测试”走向“规模化常态运营”。 【核心职责】 1. 网络规划与运力策略 -区域分级与拓展：负责城市物理空间的网格化建模，基于订单密度、交通复杂度、政策开放度等多维数据，建立高、中、低价值区域的划分标准，制定分阶段的车辆投放与退出策略。 -人机协同调度：设计并持续优化“人+无人车”混合运力的调度逻辑，针对不同场景输出最优的人机配比方案，在保障履约时效的前提下，实现运力结构的整体降本。 - 仿真推演：利用仿真平台对新开区域、新车型投放进行ROI预演，输出投放数量、补能网络布局、车辆动线规划的可行性建议，降低试错成本。 2. 定价模型与损益管理 - 全生命周期成本分析：建立无人配送车的TCO（总拥有成本）模型，精确核算硬件摊销、能源消耗、安全运营、远程接管等成本项，设定清晰的成本控制基线。 - 动态定价机制：设计面向B端客户的差异化定价体系。结合天气、时段、供需关系等因素，制定动态加价或折扣策略，提升恶劣天气及夜间的车辆利用率，确保单均成本边际最优。 - 商业变现策略：协同销售及大客户团队，设计基于SLA（服务等级协议）的套餐产品，如“极速达”、“经济慢送”等，将技术能力转化为可量化的商业报价。 3. 数据洞察与产品化 - 指标体系搭建：定义策略运营的北极星指标与过程指标（如：单均成本、车辆利用率、人效比、接管率影响因子等），搭建可视化的数据监控看板，实时洞察运营健康度。 - 策略产品化：作为运营侧的产品经理，向中台研发团队输出清晰的BRD（商业需求文档），推动智能调度系统、车效监控平台、故障预警工单系统等工具的迭代，提升自动化运营水平。 - 异常归因与迭代：深入分析路测及运营数据，剥离出因选路策略、调度策略导致的高接管率或低效问题，联动算法团队进行策略优化，形成“数据驱动-策略落地-效果复盘”的闭环。 4. 政策研判与合规落地 - 路权策略：紧密跟踪各地自动驾驶测试及商业化试点政策，制定合规的牌照申请路径，确保运营策略符合地方监管要求。 - 风险预案：建立针对交通事故、极端天气、网络攻击等突发状况的策略级应急预案，保障业务连续性与公共安全。
岗位职责： 1. 统筹RoboDelivery的商业化运营体系，设计计费模型，建立KPI仪表盘，通过数据驱动运营策略迭代； 2. 设计RoboDelivery标准化运营流程（SOP），包括车辆部署、充电维保、异常处理机制 ； 3. 设计动态运力优化方案，制定车辆投放策略 ，提升车辆利用率； 4. 构建全生命周期成本模型（硬件折旧+系统授权+运维+保险），设定成本管控目标； 5. 主导运营安全管理制度建设，包括远程监控响应机制、事故处理预案 6. 建立跨部门协作机制（技术/安全/政府事务），推动运营需求在产品端的快速迭代 ；
Location: Onsite at our warehouse at Ontario, CA or Bolingbrook, IL Job Responsibilities: 1. Logistics and Delivery Management a. Oversee end-to-end local trucking (LTL/FTL) and courier operations: - For B2B customers (e.g., retailers, distributors), design truck delivery route plans with suitable vehicle matching (LTL/FTL). - For B2C customers, coordinate with courier partners (e.g., UPS, FedEx, USPS) to balance timeliness and cost efficiency. - Continuously improve on-time delivery rates for trucking and reduce customer complaints in courier deliveries. b. Optimize delivery strategies: - Based on order volume, shipment size/weight, and destination type (urban vs. suburban), dynamically adjust the proportion between truck and courier deliveries (e.g., large goods via trucks, small parcels via courier) to minimize total delivery costs. c. Monitor last-mile fulfillment: - Require truck drivers and couriers to collect and upload Proof of Delivery (POD) documentation to ensure complete and traceable delivery records. 2. Transportation Resource Management a. Build a diversified transportation resource pool: - Select and maintain truck carriers (including in-house fleets and third-party partners) and courier service providers. - Establish a tiered supplier system (core vs. backup) to handle seasonal demand spikes (e.g., holiday or promotion periods) and ensure capacity stability. b. Supplier performance management: - Regularly evaluate and monitor last-mile vendor KPIs. - Develop improvement plans for underperforming suppliers and initiate replacement processes if necessary to maintain resource quality. c. Cost optimization: - Work with procurement to lower per-unit transportation costs through bulk rate negotiations, long-term contracts (e.g., annual courier or trucking agreements), and shared capacity (e.g., consolidated loads across clients). - Target: annual transportation expenses to decrease year-over-year. 3. Billing Management a. Manage the full billing process: - Coordinate with trucking and courier partners to receive and verify invoices (including transport fees, fuel surcharges, and special service charges like remote area surcharges). - Ensure consistency between billing amounts, service agreements, and actual delivery data to prevent duplicate or incorrect charges. b. Handle billing discrepancies: - Establish a reconciliation mechanism to resolve discrepancies (e.g., estimated vs. actual freight costs, unagreed fees) within the billing cycle to maintain invoice accuracy. c. Cost monitoring and analysis: - Periodically analyze unit costs for trucking (per ton) and courier (per shipment) to identify anomalies (e.g., abnormally high courier costs in certain regions). - Generate cost analysis reports and drive corrective actions. 4. Exception Management (In-Transit) a. Respond to and resolve delivery exceptions: - Develop standardized processes for common issues (e.g., customer refusals, shipment shortages). - For instance, ensure communication and negotiation at the delivery site for refusals and arrange redelivery promptly to resolve exceptions efficiently. 5. Cross-Team Collaboration and Process Optimization a. Coordinate with the warehouse team: - Align outbound scheduling with delivery route priorities to prevent warehouse backlogs or vehicle idle time. - Synchronize outbound data (e.g., item quantities, packaging details) to ensure consistency between warehouse and transportation records. b. Support the sales team: - Verify abnormal POD cases and assist sales with customer or platform claims.