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客户成功经理

Customer Success Manager

市场运营职能支持限定地区(需当地身份)
公司Orbee
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间13 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

关于Orbee

Orbee是支撑庞大汽车零售行业的基础数据基础设施层。仅在美国就有近17,000家特许经销商,每年产生超过1.3万亿美元的销售额,销售超过1600万辆新车,汽车零售行业依赖复杂的运营和海量的数据。我们的使命简单明了:将经销商依赖的杂乱、碎片化的数据转化为现代零售的统一、高性能基础,同时确保经销商完全拥有其客户关系和数据。

我们是一家以工程为核心、以AI为导向的公司,每天处理超过20亿个事件,覆盖5000多个屋顶。我们不只是适应通用软件;我们为汽车零售的复杂性和规模量身打造原生、灵活的数据解决方案。如果你热衷于解决数千亿美元的行业挑战,构建灵活的基础设施,并推动汽车科技的未来,我们希望你加入我们的团队。

职位概述

在这个职位中,你不仅仅是管理客户账户;你将成为客户的首要顾问,帮助他们探索我们的数据即服务生态系统,解决复杂的营销挑战。

主要职责与要求

  • 技术上线与采用:引导客户战略性地实施Orbee的跟踪脚本和数据集成。你不仅仅是“设置账户”,而是帮助他们构建数据战略。
  • 营销技术优化:作为Orbee数据与Google Ads、Meta Ads和邮件自动化交互的内部专家。你将帮助客户基于实时数据信号构建复杂的受众群体。
  • 数据转化:在Orbee的原始数据能力和经销商的业务目标之间架起桥梁。你应该能够向一位只想卖出更多汽车的总经理解释数据管道的工作原理。
  • 产品策略:与我们的工程和产品团队紧密合作,传达现场洞察。你是将客户需求转化为我们路线图上的技术需求的“眼睛和耳朵”。
  • 业务回顾(QBR):超越“感觉良好”的会议。你将领导以数据驱动的回顾,使用Orbee的专有分析工具分析漏斗表现、归因和投资回报率。

资格与要求

  • “技术”因素:你有SaaS、营销技术或数据驱动环境的背景。你不需要是工程师
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About Orbee

Orbee is the foundational data infrastructure layer powering the massive automotive retail industry. With nearly 17,000 franchised dealerships in the U.S. alone, generating over $1.3 trillion in annual sales and selling over 16 million new vehicles each year, automotive retail runs on complex operations and massive volumes of data. Our mission is straightforward: turn the messy, fragmented data that dealerships rely on into a unified, high-performance foundation for modern retail—all while ensuring dealers retain full ownership of their customer relationships and data.

We are an engineering-first, AI-forward company processing over 2 billion events daily across more than 5,000 rooftops. We don't just adapt general-purpose software; we build native, flexible data solutions designed specifically for the complexities and scale of auto retail. If you are passionate about tackling trillion-dollar industry challenges, building flexible infrastructure, and driving the future of automotive tech, we want you on our team.

Role Overview

In this role, you won't just manage accounts; you will be the primary advisor for our clients, helping them navigate our data-as-a-service ecosystem to solve complex marketing challenges.

Key Duties & Responsibilities

  • Technical Onboarding & Adoption: Lead clients through the strategic implementation of Orbee’s tracking scripts and data integrations. You aren't just "setting up an account" you are helping them architect their data strategy.
  • MarTech Optimization: Act as an internal expert on how Orbee’s data interacts with Google Ads, Meta Ads, and Email Automation. You’ll help clients build sophisticated audience segments based on real-time data signals.
  • Data Translation: Bridge the gap between Orbee’s raw data capabilities and the dealership’s business goals. You should be comfortable explaining how a data pipeline works to a General Manager who just wants to sell more cars.
  • Product Strategy: Work closely with our Engineering and Product teams to communicate field insights. You are the "eyes and ears" that translate client needs into technical requirements for our roadmap.
  • Business Reviews (QBRs): Move beyond "feel-good" meetings. You will lead data-driven reviews that analyze funnel performance, attribution, and ROI using Orbee’s proprietary analytics.

Qualifications & Requirements

  • The "Tech" Factor: You have a background in SaaS, MarTech, or Data-driven environments. You don’t need to be an engineer, but you must be comfortable discussing data flows and software integrations.
  • Automotive Intelligence: 3+ years in the automotive industry is highly preferred. You understand how a CRM/DMS works and where the "data silos" live in a dealership.
  • Analytical Mindset: You enjoy digging into a dashboard to find the story. You are comfortable using tools like HubSpot to track account health and identifying technical "friction points" before they cause churn.
  • Consultative Communication: You can translate technical system requirements into clear operational logic. You are comfortable explaining how event-based data triggers or API integrations function in a way that allows a client to make an informed business decision without needing a technical background.

Originally posted on Himalayas

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