MSPbots.ai

Chief of Staff

• AI-First Business Operations (The "Automator") Dogfooding & Transformation: Actively replace internal manual processes (Marketing, CS, Ops) with MSPbots’ own AI agents and RPA tools.
• Office of the CEO Automation: Build and maintain AI workflows to filter CEO emails, summarize L10 meetings, and pre-draft responses. Goal: Reduce CEO operational load by 40% within 6 months.
• Governance & Safety: Enforce the AI governance framework. Ensure all internal AI agents have correct permissioning, audit logs, and "human-in-the-loop" fail-safes before scaling.
• Strategy Execution & EOS Management (The "Integrator Proxy") L10 & Rhythm: Owner of the CEO’s L10 meeting. You do not just take notes; you audit the Scorecard data for accuracy before the meeting and force resolution on "Issues."
• Rocks Management: Track progress on quarterly Rocks across departments. Use BI dashboards to validate "Done" status (no verbal updates without data).
• Cross-Department Alignment: act as the "API" between the Visionary (CEO) and the department heads. Translate high-level vision into execution tickets with clear owners and deadlines.
• Special Projects & GTM Experiments Launchpad: Lead rapid-fire GTM experiments for new AI features. Define success metrics (CAC, Adoption %, Churn impact) and kill projects fast if data fails.
• Feedback Loops: Institutionalize the feedback loop between Product and Customer Success. Ensure ticket data is structured and fed back into Product R&D for agent training.

Product Manager

• Lead the strategy, roadmap, and execution for AI-powered apps, including ticket triage, ticket QA, and sentiment analysis, ensuring alignment with company goals and client needs.
• Work closely with engineering, data science, design, marketing, and sales to deliver high-quality products on schedule.
• Engage with MSP clients and internal stakeholders to gather requirements, validate product value, and ensure exceptional user experience.
• Monitor industry trends, competitor offerings, and customer feedback to inform product strategy and feature prioritization.
• Define and track key product metrics, using data-driven insights to guide product improvements and reports on outcomes.
• Ensure clear product documentation and support materials are available for both internal teams and clients.
• Lead rapid prototyping and MVP releases, especially for new AI-driven features and apps, leveraging client feedback for continuous improvement.

Chief of Staff

AI Product Manager