This article describes a role working directly with the founders of an AI consulting startup and the core responsibilities involved. It covers scheduling and administrative support, market research and analysis, support for strategic planning and company growth, the use of AI/ML for portfolio management, DevOps practices and cloud deployment of micro-SaaS AI applications, and organizing events and meetings.
Operations and Coordination
Direct collaboration with the founders includes day-to-day coordination and administrative activities. Key operational duties focus on keeping founders organized and enabling smooth internal and external interactions.
- Scheduling and administrative support to manage calendars and tasks.
- Organizing events and meetings to ensure logistical and timing needs are met.
Research and Strategic Support
Market-facing work supports decision-making and company direction. Research and analysis inform planning and efforts to grow the company.
- Market research and analysis to gather insights relevant to the startup.
- Supporting strategic planning and company growth by providing research-based input and coordination.
Technical Implementation and Portfolio Optimization
Technical responsibilities focus on applying AI/ML and modern engineering practices to product and operational needs. Work spans model-driven portfolio tasks and cloud-based application deployment.
- Optimizing portfolio management using AI/ML techniques to improve how offerings are managed.
- Implementing DevOps practices to streamline development and operations workflows.
- Deploying micro-SaaS AI applications to the cloud as part of product delivery.
In summary, the role entails working directly with the founders on scheduling and administrative support, market research and analysis, supporting strategic planning and company growth, optimizing portfolio management with AI/ML, implementing DevOps practices and deploying micro-SaaS AI applications to the cloud, and organizing events and meetings.
