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Research·a16z.com·Jul 30, 2026·18 min read

Trading Margin for Moat: Why the Forward Deployed Engineer Is the Hottest Job in Startups | Andreessen Horowitz

The article argues that complex AI applications for enterprises require a "forward deployed engineer" approach, prioritizing hands-on implementation and deep integration over initial high gross margins. Drawing parallels with the success of Salesforce and ServiceNow, it suggests that AI startups should embrace professional services to become indispensable "systems of work," capturing valuable data and building a durable moat. This strategy, though initially sacrificing margin, leads to faster gross profit growth, greater market dominance, and eventually high margins as services become more scalable through AI automation.

From the source

Companies attempting to replace core workflows owned by legacy systems of record with lightweight, wrapper-like integrations too often see their agents break or fail outright. Paradoxically, we’re witnessing explosive growth for complicated AI products in sales, support, and legal. Enterprise software companies that tackle complex workflows are regularly growing from $0 to $5 million, $10 million, or beyond $20 million in ARR in their first two years. So how are new AI startups solving for these intricate use cases? Enterprises buying AI are like your grandma getting an iPhone: they want to use it, but they need you to set it up.

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