Chris Degnan, the former Snowflake chief revenue officer, says forward-deployed engineers—popularized by companies like Palantir and now booming in the AI rush—aren’t the same caliber as the engineers building core products. He warns that these embedded roles
For the third time this AI boom has demanded a new kind of tech worker—someone embedded inside the customer to build and deploy quickly. But Chris Degnan, a longtime veteran of enterprise software and the former chief revenue officer of Snowflake, doesn’t sound impressed.
On the “20VC” podcast, Degnan attacked the “forward-deployed” engineer role as the wrong place for top talent. The model. which has been popularized by Palantir. embeds engineers within a client company to build technology and help customers apply it from the inside. Degnan. who spent over 11 years at Snowflake before retiring last year and now works as an investor and startup advisor. called it “a glorified professional services person.”.
The job is exploding—at least on paper. In April 2026, forward-deployed engineer postings surged 5,230% above January 2025 levels, or roughly 729% year over year, based on data from Indeed. The demand is so strong that major tech firms are creating dedicated structures for it.
OpenAI launched the OpenAI Deployment Company with an initial investment of over $4 billion. Google recently announced a new AI organization staffed with forward-deployed engineers. Other companies are also leaning into the model internally so teams can become “AI native.” Stripe. for example. posted a job listing for a “Forward Deployed AI Accelerator” role for its marketing team earlier this month.
Degnan’s concern is less about growth and more about what the job leaves behind. “If you’re a really good engineer, you do not want to be a forward-deployed engineer,” he said. “You want to work on the core product.”
He described a common scenario: forward-deployed engineers develop products for a contracting company that may never return to the employer. That means the customer has to maintain the technology after the embedded effort ends. In Degnan’s view, the handoff is where the damage can start.
“There’s a lot of technical debt that forward-deployed engineers are going to leave. and there’s a lot of risk. ” Degnan said. He drew an even sharper dividing line between the embedded role and the engineers who build the product itself: “The forward-deployed engineer is not as good as the core engineer that’s building the core product.”.
Chris Degnan Snowflake forward-deployed engineer FDE Palantir OpenAI Deployment Company Google AI organization Indeed job postings technical debt AI native Stripe 20VC podcast