Role overview

Qualifications

3+ years of AI/SaaS product management experience shipping a product powered by LLMs, RAG, or agentic frameworks
Commercial instinct with a track record of owning revenue KPIs (CAC, LTV, churn)
Technical depth in tokens, embeddings, prompt engineering, and understanding of hallucination vs. creative temperature
Global collaboration experience leading sync and async work across US, China, and Philippines time zones

Responsibilities

Lead monetization and GTM strategy, including designing usage-based pricing or value-based billing and articulating the ROI of AI over headcount
Own AI-native product leadership: balance Accuracy, Latency, and Unit Cost, and advance agentic workflows from chatbots to autonomous ticket-resolution agents
Define data strategy and RLHF feedback loops to continuously improve models using MSP ticket data
Drive rapid execution with flash builds and defined performance benchmarks to ensure reliable MSP production deployment

Key facts

Remote from: Philippines
Freelance
Mid-level (2-5 years)
Product Manager (Tech)
English

Hard skills

Large Language Modeling Agent-Based Model Product Monetization Product Management Prompt Engineering Embedding Solution Benchmarking Exploratory Testing Triage RemedyForce (Ticket Management Software) AI Testing Competitive Intelligence Key Performance Indicators (KPIs) Cross-Functional Collaboration Asynchronous Communication

Other skills

Leadership
Communication
Decision Making
Problem Solving

About the company

MSPbots - Careers

MSPbots.ai is a startup robotic process automation (RPA) platform, designed to help IT-managed service providers (MSP) to automate their day to day processes to improve productivity, reduce human errors, and free up employees from mundane and repetitive tasks. We're looking for employees who share the same the same core values and interest in technology. View our website for open job positions today!MISSION:We create and deploy bots that flawlessly automate administrative tasks, shorten processes, and convert data into actionable items so that managed service providers (MSPs) can devote more of their precious resources to creative solutions.VISION:To evolve the workforce of MSPs into a synergistic team of intelligent robots and creative humans who deliver the most effective and creative solutions in the shortest time possibleOUR CORE VALUES1. Do the right thing2. Be a go-getter3. Be a creator4. Have an open mind

Company details

Company typeScaleup

Company size51 - 200

Links

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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!