Vinoo Ganesh traces forward deployed engineering to early Palantir product development and applies those lessons to AI companies. A failed data platform and an over-scoped logistics dashboard illustrate why teams need to observe customers directly and identify the underlying problem before committing to a solution.
Vinoo Ganesh describes how a simple Parquet viewer removed a customer's resistance to a data migration. Repeated manual tasks, copying between tools and slow workflows become signals for useful product improvements. Embedded engineers earn trust through small working fixes, then translate recurring needs into a shared product.
Vinoo Ganesh emphasizes consistent definitions for entities and operations across enterprise systems, including ambiguous AI terms such as agents and skills. Quick fixes also need production ownership, handoff plans and a route into the core product, because temporary scripts often become permanent dependencies.
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