资深GTM分析师
Staff GTM Analyst
💫 这份职位描述由一位人士撰写
## **关于我们**
自2013年以来，我们一直在打造一款不会妨碍你工作的CRM，帮助你的团队更快地销售更多产品。现在，我们正在将AI融入每个部分，让Close处理繁琐的工作，而你的团队专注于销售。无需手动输入数据，无需10步流程。只需以沟通为中心、由AI驱动的销售软件，助你成功并实现增长。
我们是自筹资金且盈利的公司，这意味着我们只对客户负责，按照自己的规则行事。我们自豪于拥有120人的100%远程团队，专注于打造Close，让任何小型成长型公司都不会因为无法理解销售而失败。
## **职位介绍**
我们的GTM组织有很多问题。我们关心的大多数问题无法通过创建一个可爱的仪表盘来回答。品牌搜索是在创造新客户，还是在捕捉已有的需求？主页重新设计是否提高了转化率，还是我们的流量结构发生了变化？如果我们有一些大胆的下一个赌注的想法，钱应该投在哪里？
这类宏观问题需要有人能够审查指标，追踪它通过仓库的过程，理解业务背景，并将其转化为行动。这个人将成为我们的第一位Staff GTM分析师。你将与GTM领导层合作做出重要决策，同时仍能深入所有数据的细节中。
最棒的是：我们回答这些问题的方式正在改变。有效的SQL只需几个令牌即可完成，仪表盘可以在几分钟内用Claude生成，同事越来越期望自己找到答案。你将构建语义层、上下文和保障机制，使自助服务成为可能，甚至值得信赖，然后确定分析师的专业知识在哪些地方是不可或缺的。
### 你是
- **一名经验丰富的分析师。** 你有大约8年的实际、高度技术性的分析经验。最重要的是：你具备看到各种复杂问题后形成的模式识别能力。你正处于职业生涯的某个阶段，可以处理模糊的业务问题，深入数据，将你的发现转化为决策，并带领其他人一起前进。
- **技术与业务之间的桥梁。** 你可以使用dbt构建模型，在Snowflake中直接工作，并将其转化为可操作的内容。你将与我们的首席分析工程师密切合作，但你需要愿意并能够深入并自助完成任务。
- **精通思考。**
查看英文原文
💫 This job description was written by a person
## **About Us**
Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale.
We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 120-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales.
## **About the Role**
Our GTM org has a _lot_ of questions. Most of the questions we care about can’t be answered by spinning up a cute dashboard. Is branded search creating new customers or capturing demand that already existed? Did the homepage redesign improve conversion, or did our traffic mix change? If we’ve got some wild ideas for our next bet, where should the money go?
These kinds of big-picture questions require someone who can interrogate the metric, trace it through the warehouse, understand the business context, and turn it into action. This person will be our first Staff GTM Analyst. You’ll work alongside GTM leadership to make consequential decisions while still staying hands-on in the nitty gritty of all the data.
The best part: the way we answer these questions is changing. Effective SQL is just a few tokens away, dashboards can be Claude-ed in minutes, and teammates increasingly expect to find their own answers. You’ll build the semantic layers, context, and guardrails that make self-service possible, even trustworthy, then determine where an analyst’s expertise is indispensable.
### You are
- **An experienced analyst.** You have roughly 8 years of hands-on, highly technical analytics experience. Most importantly: you’re backed by the pattern recognition that comes with having seen all sorts of hairy problems. You’re at the point in your career where you can take an ambiguous business question, dive head-first into the data, turn your findings into a decision, and bring everyone else along with you.
- **A bridge between the technical and the business.** You can build a model in dbt, work directly in Snowflake, and translate it into something actionable. You’ll partner closely with our Lead Analytics Engineer but you need to be willing and able to dive in and self-serve.
- **Fluent in the quirks of GTM data.** Attribution, channel definitions, UTMs, bots and broken tracking are known quantities. You don’t need to have been a dedicated GTM Analyst, but you should certainly know your way around this part of the business.
- **Pushing the boundary of what AI means for analytics.** AI is writing your first-draft SQL, analysis, and reporting and you’ve shifted that energy to bringing analysis into the future: building the semantic layers, context, and guardrails that let the team self-serve trustworthy answers.
- **A trusted cross-functional leader.** Teammates across functions and levels listen to you. You immerse yourself in the context of their needs and bridge gaps in understanding.
- **Fiercely independent and accountable.** You welcome a vague ask with aplomb. You’ll scope the problem, find the dependencies, bring in the right people, and drive the work through the analysis, recommendation…all the way to a fix.
- **More concerned with impact than output.** A polished dashboard is useful only when it changes what we do. You prioritize the questions that can materially improve acquisition, conversion, retention, and revenue.
### You will
- **Make our GTM data trustworthy.** You’ll define metrics, model the funnel from first touch through paid conversion, and reconcile discrepancies across Snowflake, Segment, Amplitude, GA4, and our ad platforms.
- **Explain what we’re seeing.** Why are trials up while paid conversion isn’t? Why are Snowflake and Amplitude disagreeing? Which channel is driving volume but producing low-quality customers? You’ll dig into the data until we understand what changed _and_ why.
- **Help decide what to do next.** Are we on track to hit our goals? What would another investment in paid media produce? You’ll forecast, model the tradeoffs, and empower leadership to make the best possible decision.
- **Own the outcome.** Whether you uncover something small like broken campaign tracking or you’re focused on moving a major business metric, you’ll bring in the right people and shepherd the team to the data-driven outcome.
- **Define the next era of Data at Close.** You’ll help us move from a queue of reactive requests to a system where an agent spots changes, assembles the context, and gets the right insight to the right person at the right time.
## **Benefits**
- Compensation: Competitive pay plus an organization-wide goal-based bonus
- Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close.
- 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay
- Parental Leave: Paid leave for primary and secondary caregivers
- Sabbatical: A 1-month paid sabbatical every 5 years with the team
- Healthcare (US residents): Two medical plans with Close covering 99% of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability
- 401k (US residents): We match your contributions up to 6%, vested immediately
## Our Values
Build a house you want to live in - Examine long-term thinking and action
No BS - Practice transparency and honesty, especially when it’s hard
Invest in each other - Build successful relationships with your coworkers and customers
Discipline equals freedom - Keep your word to yourself and others
Strive for greatness - Constantly challenge yourself and others
## Learn More
Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the [$0-30m Blueprint](https://www.close.com/blueprint).
Watch [our culture video](https://www.youtube.com/watch?v=maXKi1GN2MI) from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany!
Explore our product. Check out a [demo](https://www.close.com/demo-site)!
## Our Hiring Process
We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume.
We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for _you_ - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered.
Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy.
If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.