Same pattern is emerging for AI PMs. AI product building is a far less mature discipline than AI research.
To build an AI native product, a PM needs mastery of the following
- vision, opinionated UX design
- model intuition to extract max value
- ability to go from pixels -> evals -> hill climb
- understanding of agentic flows - tools, context, safety guardrails
- deep user understanding - lot more than previously because of the nature of agents
Unlike traditional software, LLMs offer infinite use cases with infinite failure modes. It takes skill to craft products that strike the balance between exposing LLM versatility while building a focused product with high quality.
I estimate < 75 PMs globally have this depth. The evidence is the number of truly AI-native products today. And my scar tissue from hiring.
It is a rare, but learnable skillset. Only way is to build, build, build.
To build an AI native product, a PM needs mastery of the following
- vision, opinionated UX design
- model intuition to extract max value
- ability to go from pixels -> evals -> hill climb
- understanding of agentic flows - tools, context, safety guardrails
- deep user understanding - lot more than previously because of the nature of agents
Unlike traditional software, LLMs offer infinite use cases with infinite failure modes. It takes skill to craft products that strike the balance between exposing LLM versatility while building a focused product with high quality.
I estimate < 75 PMs globally have this depth. The evidence is the number of truly AI-native products today. And my scar tissue from hiring.
It is a rare, but learnable skillset. Only way is to build, build, build.
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