The responses suggest that the role of the CTO could depend on whether the company is creating AI or applying it. If the company is applying AI, an engineer who can build and ship products is needed. If the company is creating new AI or models, a scientist is required. The size of the company also matters, with smaller startups needing a CTO who can also build and ship. The product also plays a role, with some suggesting that in consulting firms, knowing when and where to apply certain models could solve business problems.
Key takeaways:
- The role of a CTO in an AI company can be either a scientist or an engineer, depending on whether the company is creating new AI or applying AI to enhance workflows.
- If the company is applying AI, an engineer who can build product and ship it is needed. If the company is creating new AI or models, a scientist who can do that work is needed.
- In an early stage startup, the CTO should ideally be a builder. In a larger company, the CTO's role may be more managerial.
- The role of the CTO can also depend on the nature of the product. For example, in consulting firms, the CTO's role may be more about applying models to solve business problems rather than the actual AI part.