The Forward-Deployed Expert: How AI Is Reinventing Product Management

InnovationThe Forward-Deployed Expert: How AI Is Reinventing Product ManagementByAbha Dogra,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)Jun 09, 2026, 08:45am EDTAbha Dogra is the chief product officer at IBS Software. gettyIn 2006, Palantir introduced a role that redefined how software companies from Google to OpenAI create customer value: Forward-deployed software engineers (FDEs) are embedded directly inside client organizations, not to sell, but to build.While traditional engineers created single capabilities for many customers, forward-deployed engineers focus on enabling many capabilities for a single customer. The model can be expensive and talent-intensive—requiring elite engineers to embed directly within customers for months at a time—but it can also be radically effective, which is why it has become one of the most sought-after jobs in the tech industry. The approach addresses something the software industry had long known but rarely acted on: The closer you are to the problem, the better the solution. That same principle can be just as valuable for product managers (PMs) and product teams.The Translation Problem In Product ManagementProduct management has always been a discipline of translation. Product managers (PMs) sit between customer reality and engineering execution, converting observations into specifications that developers can action.This process can be clunky and ineffective. By the time a customer's problem travels from discovery interview to final testing, it has passed through multiple handoffs, each introducing an opportunity for interpretation and assumption.​The original context—the frustration, the workaround, the unstated expectation—is lost further with every step. The final round of customer testing becomes the moment of truth where the gap between what was built and what was neede...