远程工作雷达

数字客户成功经理

Digital Customer Success Manager

市场运营限定地区(需当地身份)
公司abnormalsecurity
薪资未公开
工作地点Remote - USA
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间6 天前
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote - USA 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。

职位描述

作为 Abnormal AI 的数字客户成功经理,您将通过可扩展的数字化优先计划来管理高数量的客户组合。您的重点是通过引导客户完成其生命周期,确保从我们的平台中获得可衡量的价值,从而推动客户的采用、留存和增长。

您将设计并执行有针对性的数字化活动,监控客户健康状况,并与内部团队合作解决风险并优化结果。作为值得信赖的顾问,您将利用数据和客户反馈,影响整个数字化旅程中的产品、计划和内容改进。

您需要具备以下条件

  • 精通分析客户数据,以识别风险、机会和采用趋势
  • 具有数字化生命周期管理和通过活动或自动化扩大参与的经验
  • 擅长沟通,在数字化和现场形式(例如网络研讨会、虚拟季度回顾)中都自信自如
  • 良好的团队合作者,能够有效与销售、续费、产品和客服团队合作
  • 能够清晰地阐述 SaaS 产品功能、优势和使用案例,以推动采用
  • 能够在管理大量客户组合的同时,保持条理和结果导向

您将负责

  • 通过数字化优先的参与策略管理 500–600 名客户
  • 设计并交付与生命周期阶段相匹配的数字化活动(例如培育活动、调查、采用计划)
  • 监控客户健康状况和使用数据,以识别风险并采取主动措施
  • 提供数字化季度回顾/年度回顾和网络研讨会,展示投资回报率并加强参与度
  • 与续费经理合作,制定针对高风险账户的留存策略
  • 提炼见解和采用趋势,以指导产品路线图、内容和数字化计划
  • 为数字化成功贡献操作手册、自动化模型和可扩展的最佳实践

必备条件

  • 2–4 年客户成功、客户管理或 SaaS 客户相关岗位经验
  • 候选人必须位于山地时间区(MST)或中部时间区(CST)
  • 有通过数字化策略推动采用、留存和增长的实绩
  • 强大的分析能力,有解读客户健康状况和使用数据的经验
  • 出色的书面和口头沟通能力,适用于数字化和现场客户互动
  • 熟悉 CRM 和客户成功平台(例如 Salesforce、Gainsight、Totango)
  • 了解 SaaS 客户生命周期阶段及数字化参与策略
查看英文原文

About the Role

As a Digital Customer Success Manager at Abnormal AI, you will manage a high-volume customer portfolio through scalable, digital-first programs. Your focus is to drive adoption, retention, and growth by guiding customers through their lifecycle and ensuring measurable value from our platform.

You will design and execute targeted digital campaigns, monitor customer health, and collaborate with internal teams to address risks and optimize outcomes. Acting as a trusted advisor, you will use data and customer feedback to influence product, program, and content improvements across the digital journey.

Who you are

  • Skilled at analyzing customer data to identify risks, opportunities, and adoption trends
  • Experienced in digital lifecycle management and scaling engagement through campaigns or automation
  • Strong communicator, confident in digital and live formats (e.g., webinars, virtual QBRs)
  • Collaborative team player who partners effectively across Sales, Renewals, Product, and Support
  • Comfortable articulating SaaS product features, benefits, and use cases to drive adoption
  • Able to balance multiple priorities across a large portfolio while staying organized and outcome-focused

What you will do

  • Manage a portfolio of 500–600 customers through digital-first engagement strategies
  • Design and deliver digital campaigns (e.g., nurtures, surveys, adoption programs) aligned with lifecycle stages
  • Monitor customer health and usage data to identify risks and take proactive actions
  • Deliver digital QBRs/EBRs and webinars to showcase ROI and strengthen engagement
  • Partner with Renewal Managers on retention strategies for at-risk accounts
  • Surface insights and adoption trends to inform product roadmap, content, and digital programs
  • Contribute to playbooks, automation models, and scalable best practices for digital success

Must Haves

  • 2–4 years in Customer Success, Account Management, or SaaS customer-facing roles
  • Candidates must reside in the Mountain (MST) or Central (CST) time zone.
  • Proven ability to drive adoption, retention, and growth through digital strategies
  • Strong analytical skills with experience interpreting customer health and usage data
  • Excellent written and verbal communication skills for both digital and live customer interactions
  • Familiarity with CRM and customer success platforms (e.g., Salesforce, Gainsight, Totango)
  • Knowledge of SaaS customer lifecycle stages and strategies for digital engagement

#LI-EM3
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.

Base salary range:
$95,200—$112,000 USD

A note on AI in our process: 
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

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