数字客户成功经理
Digital Customer Success Manager
职位描述
作为 Abnormal AI 的数字客户成功经理,你将通过可扩展的以数字优先的计划来管理大量客户组合。你的重点是通过引导客户完成其生命周期并确保从我们的平台中获得可衡量的价值,从而推动采用率、留存率和增长。
你将设计并执行有针对性的数字活动,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,你将利用数据和客户反馈来影响整个数字旅程中的产品、计划和内容改进。
你是什么样的人
- 擅长分析客户数据以识别风险、机会和采用趋势
- 在数字生命周期管理和通过活动或自动化扩大参与度方面有经验
- 优秀的沟通者,自信地使用数字和现场格式(例如网络研讨会、虚拟季度回顾)
- 良好的团队合作者,能有效与销售、续约、产品和客服团队合作
- 能够清晰阐述 SaaS 产品功能、优势和用例以推动采用
- 能够在管理大量客户组合的同时平衡多项优先事项,保持组织性和结果导向
你会做什么
- 通过以数字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一致的数字活动(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
- 交付数字季度回顾/年度回顾和网络研讨会,展示投资回报率并加强参与度
- 与续约经理合作,制定针对高风险账户的留存策略
- 提炼洞察和采用趋势,以指导产品路线图、内容和数字计划
- 为数字成功贡献操作手册、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 客户相关角色经验
- 候选人必须居住在山地时间区(MST)或中部时间区(CST)
- 有通过数字策略推动采用、留存和增长的实证能力
- 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 客户生命周期阶段和数字参与策略
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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.