AI产品经理
AI Product Manager
使命
我们不只是在软件上添加“封装”；我们是从零开始重建MSP（管理服务提供商）的体验。你将成为我们的AI产品套件的CEO，负责将LLMs和代理工作流程转化为高利润、产生收入的引擎。这个职位适合一位将“价值时间”作为北极星，将“ARR”作为产品市场契合度最终验证的构建者。
关键职责
🚀 收入与市场策略（“业务”负责人）
- 商业模式架构：超越扁平化的SaaS座位。设计并实现基于使用量的定价、信用系统或“价值导向”的计费，与AI自动结果挂钩。
- 竞品情报：保持“战卡”心态。清楚了解现有厂商和初创公司的产品，确保我们的AI能力（分类、质量保证和自动化）是10倍更好，而不仅仅是快10%。
- 市场进入执行：不要只是把演示文稿交给销售。推动叙事，定义理想客户画像（ICP），并确保我们的定位清晰传达“AI替代人力”的投资回报率。
🤖 AI原生产品领导力
- “AI三元组”权衡：严格管理准确率、延迟和单位成本之间的平衡。你知道何时使用前沿模型（GPT-4/Claude 3.5）还是微调的小型语言模型（SLM）来处理特定的MSP任务。
- 代理工作流程：从简单的“聊天机器人”转向能够执行工单解决的自主代理，而不仅仅是总结它。
- 数据作为护城河：定义数据收集策略，创建专有的反馈循环（RLHF），使我们的模型在每次处理MSP工单时变得更智能。
🛠️ 快速执行与实验
- 从0到1的执行：领导“闪电构建”——在几天内而不是几个月内将原型展示给客户。
- 性能基准测试：定义“良好”是什么样子。建立评估框架（Evals），确保我们的AI不仅“酷”，而且在生产环境中的MSP场景中始终可靠。
资格要求：
- 3年以上AI/SaaS产品经理经验：你至少参与过一个由LLMs、RAG（检索增强生成）或代理框架驱动的产品。
- 商业直觉：你有管理损益表或直接负责收入KPI的记录。你理解CAC、LTV和流失率。
- 技术深度：你不需要编写Python代码，但你应该理解token、嵌入、提示工程，以及“幻觉”和“创造性温度”之间的区别。
- MSP/ITSM领域知识
查看英文原文
The Mission
We aren't just adding "wrappers" to our software; we are rebuilding the MSP (Managed Service Provider) experience from the ground up. You will be the CEO of our AI Product Suite, responsible for turning LLMs and agentic workflows into high-margin, revenue-generating engines. This role is for a builder who treats "time-to-value" as a North Star and "ARR" as the ultimate validation of product-market fit.
Key Responsibilities
🚀 Revenue & Market Strategy (The "Business" Owner)
- Monetization Architecture: Move beyond flat SaaS seats. Design and implement usage-based pricing, credit systems, or "value-based" billing tied to AI-automated outcomes.
- Competitive Intelligence: Maintain a "Battlecard" mentality. Know exactly what the incumbents and startups are shipping and ensure our AI capabilities (triage, QA, and automation) are 10x better, not 10% faster.
- GTM Execution: Don't just hand off a deck to Sales. Drive the narrative, define the ICP (Ideal Customer Profile), and ensure our positioning clearly articulates the ROI of "AI over Headcount."
🤖 AI Native Product Leadership
- The "AI Trinity" Tradeoff: Ruthlessly manage the balance between Accuracy, Latency, and Unit Cost. You know when to use a frontier model (GPT-4/Claude 3.5) vs. a fine-tuned small language model (SLM) for specific MSP tasks.
- Agentic Workflows: Shift from simple "chatbots" to autonomous agents that can execute ticket resolution, not just summarize it.
- Data as a Moat: Define the data collection strategy to create a proprietary feedback loop (RLHF) that makes our models smarter with every MSP ticket handled.
🛠️ Rapid Execution & Experimentation
- 0 → 1 Execution: Lead "Flash Builds"—getting prototypes in front of customers in days, not months.
- Performance Benchmarking: Define what "Good" looks like. Build the evaluation frameworks (Evals) to ensure our AI isn't just "cool" but consistently reliable in a production MSP environment.
Qualifications:
- 3+ Years of AI/SaaS PM Experience: You have shipped at least one product powered by LLMs, RAG (Retrieval-Augmented Generation), or Agentic frameworks.
- Commercial Instinct: You have a track record of owning a P&L or being directly responsible for revenue KPIs. You understand CAC, LTV, and churn.
- Technical Depth: You don't need to write the Python, but you should understand tokens, embeddings, prompt engineering, and the difference between "hallucination" and "creative temperature."
- MSP/ITSM Domain Knowledge (Bonus): Familiarity with how tickets flow through a service desk is a massive plus.
- Global Collaborator: Proven ability to lead sync and async workflows across US, China, and Philippines time zones.
Work Setup and Benefits:
- Location: Remote (Philippine-based only)
- Schedule: 6 PM- 3 AM PHT, Weekends off
- HMO Reimbursement: $100/month
- Life Insurance Reimbursement: $20/month
- Dental ($20) and Vision ($4) Monthly Reimbursement
- 15 PTO credits/year (convertible to cash if unused!)
- Training Reimbursements: Up to $30
- US Holiday Pay
- And many more!
Why This Role?
You won't be managing a "feature list." You will be deciding how an entire industry evolves. If you are obsessed with the intersection of Generative AI and Unit Economics, this is your playground.
Ready to take on the challenge? Apply now at MSPbots!
Originally posted on Himalayas