Mia Zheng
Two roles I've started seeing pop up all the time this year — I believe they'll be what growth teams need most going forward.
GTM Engineer
You see these hiring posts all over LinkedIn.
The way I see it, this role uses AI really well, takes on the requests we used to hand off to engineering, and then closes the growth loop on its own.
To me it also feels like a role that combines marketing and revenue operations. Key capabilities:
- Data / lead infrastructure: enrichment with Clay, Apollo, Clearbit; building ICP scoring and tiering logic.
- Outbound automation: multichannel sequences (email + LinkedIn + phone), email infrastructure (SPF/DKIM/DMARC), triggering outreach based on intent signals.
- CRM / tech stack management: Salesforce/HubSpot architecture, cross-system integration (API/Zapier/Make/n8n), keeping data integrity.
- AI Agent orchestration (the newest and highest-weighted piece for 2026): building agents that autonomously run the full "research → judge → execute" flow, not just simple automation scripts — e.g. an inbound lead comes in, the agent does the company research, fit call, routing, outreach prep, and logging on its own, only pulling in a human at the key decision points.
GEO / AEO
Lengthy, but worthy. I believe many people have already started on this.
How do you make your product/brand the answer that ChatGPT, Perplexity, Google AI Overviews, and Claude spit out?
- Technical audit and structured data: "translate" your site into a format AI crawlers can read, so AI can actually understand your content.
- Content strategy and optimization: study how users would ask AI, and rewrite content into the shape "AI most loves to quote directly" — title as question, opening as answer, backed by data, no fluff.
- Monitoring and reporting: use dedicated tools to track daily whether AI mentions you, whether the tone is good, whether you beat competitors, and report on AI-visibility changes.
The first one helps your growth flywheel run itself; the second one makes you the answer AI gives.
More like this?
I write about GTM, GEO, AI agents, and the messy middle of scaling a B2B product. New post every 2–3 days.
Read more posts →今年我开始频繁刷到两个角色，我相信会是未来增长团队最需要的。
GTM Engineer
LinkedIn 帖子经常会刷到这类招聘帖。
在我看来，这个角色能很好地利用 AI，承担原本需要提给研发的需求，然后实现增长 loop 的自闭环。
我认为也像是把 marketing 和 revenue operation 结合的角色。关键能力如下：
- 数据/线索基础设施：用 Clay、Apollo、Clearbit 做 enrichment，搭建 ICP 打分和分层逻辑。
- Outbound 自动化：多渠道序列（邮件 + LinkedIn + 电话）、邮件基础设施（SPF/DKIM/DMARC）、基于 intent 信号触发外呼。
- CRM/技术栈管理：Salesforce/HubSpot 架构、系统间集成（API/Zapier/Make/n8n）、维护数据完整性。
- AI Agent 编排（2026 年新增、权重最高的一块）：搭建能自主完成"研究 → 判断 → 执行"全流程的 Agent，而不是简单的自动化脚本——比如一个 inbound 线索进来，Agent 自动完成公司调研、fit 判断、路由分配、准备 outreach、记录结果，全程只在关键节点需要人介入。
GEO / AEO
Lengthy，but worthy。我相信很多人已经开始做了。
如何让你的产品/品牌成为 ChatGPT、Perplexity、Google AI Overviews、Claude 吐出的答案。
- 技术审计与结构化数据：把网站"翻译"成 AI 爬虫看得懂的格式，让 AI 能顺利读懂你的内容。
- 内容策略与优化：研究用户会怎么问 AI，把内容改写成"AI 最爱直接引用"的样子——标题即问题，开头即答案，带数据不空谈。
- 监测与报告：用专门工具天天追踪 AI 提没提到你、语气好不好、比竞品强不强，汇报 AI 可见度变化。
前者帮你把增长飞轮跑起来，后者让你成为 AI 的答案。