Masterclass: How FDEs make $1M/yr deploying AI agents

Masterclass: How FDEs make $1M/yr deploying AI agents

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Summary

Greg Isenberg sits down with Voss of Veric Agents for an in-depth look at forward deployed engineering, the emerging role in which engineers deploy AI agents inside companies and are paid a share of the value they create. The conversation argues that engineers who can drive millions of dollars in efficiency, revenue, or margin gains can command compensation approaching $1 million a year.

Rather than staying high level, Voss walks through anonymized client engagements that are rarely shown publicly. Topics include how to find work worth automating, how to decide where agents belong in a workflow, and how to weigh open-source against closed-source options. One extended example covers private equity firms that own dozens of portfolio companies. The recommendation is to group those companies by system of record, such as NetSuite or Dynamics for finance and Salesforce or HubSpot for sales, so an engineer only has to tackle similarities instead of dozens of one-off engagements. Working with the CFO as a repeat buyer is also discussed as a way to simplify the politics of these projects.

The episode also includes a sponsored segment from Google covering Gemini Live, Gemini transcription, Gemini text-to-speech, and real-time translation. Anyone interested in building an AI agent consulting practice will find a concrete framework here.


📺 Source: Greg Isenberg · Published October 01, 2026
🏷️ Format: Podcast

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