AI Product Manager

Job description

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!