GTM工程师
GTM Engineer
## **关于你的角色 👀**
作为 Pogo 的第一位 GTM 工程师，你将与我们的增长、销售、设计和工程团队合作，构建能够提升收入的 AI 驱动系统。你将作为构建者和运营者，参与我们[企业 AI SaaS 产品](https://joinpogo.ai/)的开发：编写推动销售漏斗和转化率的代码。
具体来说，你将：
- 发布 AI 驱动的工作流程，以竞争优势扩大我们的增长和销售策略
- 审计我们现有的 GTM 堆栈，识别其中的缺口和冗余，并快速推进解决
- 深度融入我们的销售和增长团队，将他们的最佳策略转化为整个组织可以运行的系统
- 构建内部工具和代理程序，替代手动工作流程——线索分配、丰富、外呼个性化、账户研究、内容分发、归因追踪
- 知道何时使用现成工具，何时需要定制开发
- 与工程和设计团队紧密合作，测试新功能，提供反馈，并在 GTM 使用场景中试用我们自己的 AI 能力
- 发布操作手册和内部指南，使成功经验在团队中传播
## **关于你 👩🚀**
- 具备 2-5 年的专业软件工程经验，其中至少部分经验直接应用于 GTM、增长或收入系统
- 你是 Claude Code、Cursor 或 Codex 等 AI 工具的重度用户，并且已经使用它们发布过非平凡的成果
- 你有使用 LLM 和 AI 代理的经验——包括 RAG、评估、工具使用、提示工程等
- 熟练掌握现代 GTM 堆栈（Clay、HubSpot 或 Salesforce、Apollo、Cargo、Gong、Outreach/Instantly 等），并能流畅地处理 API、webhook 和集成
- 有较强的产品和设计品味——你构建的内部工具应像产品一样精致
- 你善于系统化思考，喜欢将混乱的运营问题转化为清晰的自动化流程
- 你具备真正的商业直觉——你可以坐在销售电话中或查看增长仪表盘时，立刻发现杠杆点
- 你能清晰地与技术及非技术人员沟通，尤其是在情况模糊时
- 你有构建和维护供真实用户（包括内部用户）使用的生产系统的经验
- 附加优势：
- 在早期初创公司工作或自己构建产品的经验
- 你发布过真正推动收入指标的 AI 代理，而不仅仅是演示
- 在 RevOps、营销运营或销售工程领域有背景，之后完全转向构建工作
查看英文原文
## **About your role 👀**
As the first GTM Engineer at Pogo, you'll partner with our Growth, Sales, Design, and Engineering teams to build AI-powered systems that compound revenue. You'll work on our [enterprise AI SaaS product](https://joinpogo.ai/) as both a builder and an operator: shipping code that drives pipeline and conversion.
Specifically, you will:
- Ship AI-powered workflows that scale our growth and sales motions as a competitive advantage
- Audit our existing GTM stack, identify the gaps and redundancies, and start shipping against them fast
- Embed with our sales and growth teams to turn their best plays into systems the whole org can run on
- Build internal tools and agents that replace manual workflows - lead routing, enrichment, outbound personalization, account research, content distribution, attribution
- Know when to reach for off-the-shelf tools and when to build something custom
- Partner closely with engineering and design to test new features, give feedback, and dogfood our own AI capabilities for GTM use cases
- Publish playbooks and internal guides so wins propagate across the team
## **About you 👩🚀**
- Likely 2-5 years of professional software engineering experience, with at least some of that applied directly to GTM, growth, or revenue systems
- You're a heavy user of AI tools like Claude Code, Cursor, or Codex and have shipped non-trivial things with them
- You've built with LLMs and AI agents - think RAG, evals, tool use, prompt engineering
- You're hands-on with the modern GTM stack (Clay, HubSpot or Salesforce, Apollo, Cargo, Gong, Outreach/Instantly, etc.) and can navigate APIs, webhooks, and integrations fluently
- You have strong product and design taste - the internal tools you build should feel as polished as the product
- You think in systems and like turning messy operational problems into clean, automated ones
- You have real commercial instinct - you can sit in a sales call or read a growth dashboard and immediately see where leverage exists
- You communicate clearly across technical and non-technical stakeholders, especially when things are ambiguous
- You've built and maintained production systems used by real users (internal users count)
- Bonus:
- Experience at early-stage startups or building your own products
- You've shipped AI agents that moved an actual revenue metric, not just demos
- Background in RevOps, Marketing Ops, or Sales Engineering before moving fully into building
## **Why you might be excited about this opportunity 🙌**
- Ship real systems that get real usage and move real numbers - pipeline, conversion, retention
- Sit at the center of the company. Partner with Growth, Sales, Design, and Engineering
- Use the latest tech. Build with the latest coding tools, LLMs, and GTM platforms
- Move fast. Ship weekly and get rapid feedback from the teams using what you build
- As the first GTM Engineer at Pogo, you'll shape what this function looks like at Pogo as we scale
## **Why you** _**might not**_ **be excited about us 👎**
- Priorities may shift quickly. Oftentimes, we're tackling very ambiguous problems that don't have clear-cut answers. While we make calculated bets, we have a strong culture of experimentation and we'll pivot as necessary based on what we're seeing in the data and what we're hearing from our users.
- At times, you'll need to build things in a day: we live and breathe a value called "Calculated Speed", which involves iterating and shipping weekly, rather than spending months going through complex processes or lengthy builds. Our engineers are some of the best in the world, which means anything you design today may be shipped next week.
- We don't have structured management (yet!). We don't have the management overhead to provide direction every step of the way and we're looking for someone that gets energized by being able to run with things.
- We expect more than 9 to 5 - raw hours make an impact at our current stage. That said, we trust each team member to create a flexible work schedule that allows them to be most productive while accommodating other priorities outside of work. We also strongly encourage time off to recharge the batteries: in addition to unlimited PTO, we've implemented a minimum 20 days vacation policy 🌴