增长运营与自动化经理
Growth Operations & Automation Manager
由[Lumikha Teams](https://lumikha.work/author/lumikha/)
—
6月18日，2026年
## 增长运营与自动化经理
该职位将手动的初创企业搜寻和活动执行转化为系统驱动、AI增强的获取引擎，使生态系统团队能够在不增加相应人力的情况下扩大产出。
### **目标**
设计、构建并扩展支持所有创新项目中初创企业获取的基础设施。该职位将手动的搜寻和活动执行转化为**系统驱动、AI增强的获取引擎**，使生态系统团队能够在不增加相应人力的情况下扩大产出。
这是整个生态系统增长机器的**技术执行层**，连接CRM架构、自动化系统、AI工作流和数据工程以实现获取。
### **主要职责**
**CRM架构与获取基础设施**
- 负责CRM结构、治理和数据模型（初创企业管道架构）
- 设计与获取漏斗阶段对齐的可扩展管道结构
- 确保所有项目中的数据完整性、标准化和生命周期一致性
- 定义CRM分类法（初创企业阶段、标签、分组、评分逻辑）
**自动化与流程工程**
- 设计并实现跨工具的端到端获取流程
- 构建自动化的潜在客户丰富、路由和资格评估系统
- 创建多步骤的推广自动化序列（邮件 + 多渠道，视情况而定）
- 消除搜寻、丰富和互动流程中的手动步骤
- 集成系统（CRM ↔ 获取工具 ↔ 推广工具 ↔ 分析）
**AI辅助获取与数据丰富系统**
- 构建AI驱动的获取流程（初创企业发现、丰富、匹配）
- 实现用于大规模识别初创企业的爬取和丰富流程
- 利用AI工具提升潜在客户评分、分组和个性化
- 尝试基于LLM的工作流进行初创企业分类和匹配
- 在获取和资格审核流程中发现新的自动化机会
**潜在客户评分、分组与漏斗设计**
- 根据初创企业相关性和参与度构建和维护潜在客户评分模型
- 按行业、地理、成熟度和项目匹配度定义分组逻辑
- 优化漏斗转换（潜在客户 → 合格 → 参与 → 申请者）
- 通过数据驱动的分组规则提高转化效率
**活动系统、实验与产品化**
查看英文原文
By [Lumikha Teams](https://lumikha.work/author/lumikha/)
—
Jun 18, 2026
## Growth Operations & Automation Manager
This role transforms manual scouting and campaign execution into a system-driven, AI-augmented acquisition engine, enabling the Ecosystem team to scale output without proportional headcount increases.
### **Purpose**
Design, build, and scale the acquisition infrastructure that powers startup sourcing across all innovation programs. This role transforms manual scouting and campaign execution into a **system-driven, AI-augmented acquisition engine**, enabling the Ecosystem team to scale output without proportional headcount increases.
This is the **technical execution layer of the entire ecosystem growth machine**, bridging CRM architecture, automation systems, AI workflows, and data engineering for sourcing.
### **Key Responsibilities**
**CRM Architecture & Acquisition Infrastructure**
- Own CRM structure, governance, and data model (startup pipeline architecture)
- Design scalable pipeline structures aligned with acquisition funnel stages
- Ensure data integrity, standardization, and lifecycle consistency across all programs
- Define CRM taxonomy (startup stages, tags, segments, scoring logic)
**Automation & Workflow Engineering**
- Design and implement end-to-end acquisition workflows across tools
- Build automated lead enrichment, routing, and qualification systems
- Create multi-step outreach automation sequences (email + multi-channel where relevant)
- Eliminate manual steps across scouting, enrichment, and engagement flows
- Integrate systems (CRM ↔ sourcing tools ↔ outreach tools ↔ analytics)
**AI-Assisted Sourcing & Data Enrichment Systems**
- Build AI-powered scouting workflows (startup discovery, enrichment, matching)
- Implement scraping and enrichment pipelines for startup identification at scale
- Leverage AI tools to improve lead scoring, segmentation, and personalization
- Experiment with LLM-based workflows for startup classification and matching
- Identify new automation opportunities in sourcing and qualification processes
**Lead Scoring, Segmentation & Funnel Design**
- Build and maintain lead scoring models based on startup relevance and engagement
- Define segmentation logic by sector, geography, maturity, and program fit
- Optimize funnel transitions (prospect → qualified → engaged → applicant)
- Improve conversion efficiency through data-driven segmentation rules
**Campaign Systems, Experimentation & Performance**
- Support campaign execution with scalable infrastructure (not manual execution)
- Design A/B testing frameworks for outreach and acquisition campaigns
- Build dashboards tracking funnel performance and acquisition efficiency
- Monitor key metrics across sourcing channels and automation performance
- Identify bottlenecks in conversion and propose system-level fixes
**Process Engineering & Enablement**
- Document scalable acquisition workflows and playbooks
- Train Ecosystem Operations Specialists on tools and systems
- Continuously reduce manual workload across the team through automation
- Ensure cross-program consistency in acquisition systems
**Ideal Profile**
- 3–4 years in **Growth Ops, RevOps, Marketing Ops, CRM (Zoho), or Lifecycle Marketing**
- Strong experience designing scalable systems in **HubSpot, Salesforce, Airtable**
- Experience with automation tools such as **Zapier, Make, n8n (or similar)**
- Experience using sourcing and enrichment tools like **Clay, Apollo, or equivalent data tools**
- Strong understanding of **AI tools and LLM-based workflows for automation or data enrichment**
- Comfortable working with **data scraping, APIs, and workflow automation logic**
- Strong analytical mindset with systems thinking approach
- Ability to translate business acquisition needs into scalable technical architectures
- Hands-on builder mentality (not just strategy or coordination)
[Previous Position **Startup Scouting & Ecosystem Operations Specialist**](https://lumikha.work/startup-scouting-ecosystem-operations-specialist-associate/)
[Next Position **Work at Lumikha!**](https://lumikha.work/work-at-lumikha/)