Customer Success Manager
客户成功经理 (CSM) 机会 我们从头开始重建客户成功,我们现在正在为软件实际运作的方式构建它。这不是一个有友好的声音的票排队。我们在建立一个团队中,AI 完成了反复的工作,人类做出改变结果的工作:敏的登录,真实训练,早期阅读账号健康,以及日常合作关系使更新成为明显的决定。你将是该模型中的第一人之一。你每天都会使用 AI 不作为新品,而是工作的方式。你会坐足够接近产品来影响它。你将拥有决定该公司是否发展的客户关系。如果你是已经用人工智能重新连接自己的工作流程的人类,因为旧的方式太慢了,这个角色会适合你。What You Will Do Customer Experience & Response · 使用 AI 来加快排队:草稿回复,总结长线索,集聚重复问题,并把解决的问题转化为可重复使用答案。·保持高质量标准。AI 设计它;你拥有它。每一个反应都清晰,准确和品牌上。·对待知识库作为一种活生产品,而不是墓地。如果一个问题出现两次,它就会自助服务。· 拥有客户成功收件箱,快速进行分类,尽可能回答,升级需要产品或工程的内容,并调整其余部分。登录和启动 · 为新客户提供登陆开关,配置,首要价值指导以及使它坚持下去的后续操作。· 在集团会议中提供 1:1 的产品培训,包括我们的 AI 能力。你将需要解释技术做什么,在哪里帮助,并在哪里不帮助。· 构建和维护培训材料,步骤和面向客户的文档。项目协调 · 管理面向客户的项目终结到终结 时间表,里程碑,状态,交付。· 在产品,工程和设计中协调,以按时为客户提供所需的东西。· 主动沟通:正在发生什么,接下来是什么,被阻止了什么,以及何时清除。产品合作伙伴关系 · 从现场到路线图上的信号道路。客户在努力,要求和工作的事情应该通过你实现产品结构化,优先
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CUSTOMER SUCCESS MANAGER (CSM)
The Opportunity
We are rebuilding Customer Success from the ground up and we are building it for how software actually works now.
This isn't a ticket queue with a friendly voice on top. We are standing up a team where AI does the repetitive work and humans do the work that changes outcomes: sharp onboarding, real training, early reads on account health, and the kind of day-to-day partnership that makes renewal the obvious decision.
You will be one of the first people in that model. You will use AI daily, not as a novelty, but as the way the job gets done. You will sit close enough to the product to influence it. And you will own the customer relationships that determine whether this company grows.
If you are the kind of person who has already rewired your own workflow with AI because the old way was too slow, this role will fit you.
What You Will Do
Customer Experience & Response
- Use AI to accelerate the queue: draft responses, summarize long threads, cluster recurring issues, and turn resolved tickets into reusable answers.
- Hold a high bar on quality. AI drafts it; you own it. Every response goes out clear, accurate, and on-brand.
- Treat the knowledge base as a living product, not a graveyard. If a question comes in twice, it becomes self-serve.
- Own the customer success inbox — triage fast, answer what you can, escalate what needs product or engineering, and route the rest.
Onboarding & Enablement
- Run onboarding for new customers — kickoff, configuration, first-value guidance, and the follow-through that makes it stick.
- Deliver product training 1:1 and in group sessions, including our AI capabilities. You will need to explain what the technology does, where it helps, and where it doesn't.
- Build and maintain training materials, walkthroughs, and customer-facing documentation — and use AI to keep them current as the product ships.
- Spot the accounts that aren't adopting and get to them before the pattern hardens.
Project Coordination
- Manage customer-facing projects end to end — timelines, milestones, status, delivery.
- Coordinate across product, engineering, and design to get customers what they need, on schedule.
- Communicate proactively: what's happening, what's next, what's blocked, and when it clears.
Product Partnership
- Be the signal path from the field to the roadmap. What customers are struggling with, asking for, and working around should reach product through you — structured, prioritized, and evidence-backed.
- Pressure-test new features before they ship and help shape how they're rolled out.
- Bring an opinion. We'd rather have a CSM who argues for the customer than one who files the request and moves on.
Customer Health & Revenue Partnership
- Work from data, not vibes. Usage trends, engagement patterns, and product signals should drive who you call this week.
- Act on early disengagement — declining usage, unresponsive contacts, unresolved frustration — before it becomes a renewal conversation.
- Flag expansion signals to the Revenue team: new feature interest, usage limits, expanding use cases, new stakeholders.
- Contribute to health scoring with what the data doesn't capture.
- Be honest with leadership about which accounts are at risk and why.
What We're Looking For
- 3+ years in a customer-facing role — customer success, support, account management, implementation, or similar. SaaS experience strongly preferred.
- AI fluency, in practice. You already use tools like Claude or ChatGPT as part of your daily workflow — drafting, summarizing, analyzing, automating. You know how to prompt well, when to trust the output, and when to override it. Tell us what you've actually built or changed.
- Genuinely technical curiosity. You learn new tools fast and don't wait for someone to train you. You can navigate a CRM, a help desk, and reporting on your own, and you're comfortable getting into how the product actually works.
- Product instinct. You pay attention to why software is built the way it is, and you can translate customer pain into something a product team can act on.
- Outstanding written communication. You can write a clear, helpful response under pressure and de-escalate a frustrated customer in a single email.
- Strong project management instincts. You don't drop balls. You don't let things sit. You're the person who follows up when nobody else does.
- Queue discipline. You can manage a busy inbox, prioritize ruthlessly, and keep response times tight without burning out.
- Real customer empathy. You care whether customers succeed. You don't close tickets — you solve problems.
- Comfortable teaching. You can run a training session without being thrown by a hard question, and explain technical concepts in plain language.
- Tooling experience: help desk platforms (Zendesk, Intercom, Help Scout) and CRMs (Salesforce, HubSpot). Bonus for anything you've automated across them.
- Documentation experience — you have built or maintained customer-facing docs or a knowledge base.
How We Work
We are a small team building a product that changes quickly, and we expect people to work like it. That means using AI to remove the busywork, being close enough to the product to have opinions about it, and making decisions with data rather than waiting for permission.
You will have room to define how this role works. We would rather hire someone who improves the model than someone who follows it.
Originally posted on Himalayas