You can’t get through a revenue conference or scroll LinkedIn without running into the term FDE (Forward Deployed Engineer). The title isn’t new — Palantir built their positioning on embedded technical teams over a decade ago — but job postings for the role skyrocketed by more than 800% between January and September 2025. 

At its core, an FDE is meant to close the gap between what your software promises and what it actually delivers, inside a customer’s real environment. That’s different from a demo or a proof of concept — an FDE builds a working solution against production systems that a buyer can point to and say: we’re confident this is going to work for us. They stay through deployment, through the messy middle, owning the ROI conversation all the way through to renewal. Not projected ROI — actual results tied to a specific customer’s environment and data.

Most people regard the FDE boom as another talent trend driven, in part, by the explosion of AI. I think it’s actually a symptom of something far more concerning: the way enterprise software has been sold for the last decade is failing buyers. They know it. And boards and CEOs are feeling the real, commercial consequences in longer deal cycles, lost deals, and retention that’s harder than it used to be. 

The surge in FDEs is one of the louder responses to that pressure. Understanding what’s actually driving it matters more than the role itself.

For years, the industry ran a motion built on demos, projected ROI, and a handoff at signature. 

It worked… until it didn’t. 

Because software companies made promises they couldn’t keep — sales sold the vision, solutions closed enough of the technical gap to get to signature, and then the whole thing got thrown over the wall for someone else to figure out. Customer success inherited the churn. Renewal became damage control. Buyers got burned. Trust eroded, and skepticism replaced it.

I spend a lot of time in rooms with solutions leaders and revenue executives through GTMshift and SolutionExec. What I hear consistently is that today’s buyers have a much different concept of “proof” than in the golden era of SaaS: Yes, they want to know that the product is going to work. But the demo alone doesn’t do that job anymore. And neither does a business case built on assumptions. 

Instead, buyers are demanding real demonstrations of value — in their environments, with their data, solving their actual problems — before they’ll commit.

Snowflake’s founding CRO Chris Degnan puts it plainly in Make It Snow: The contract isn’t the finish line, it’s the starting line. If the product doesn’t deliver measurable value post-signature, nothing else matters.

That continuity — from pre-sale through to renewal — is what creates measurable ROI.

A combination of forces are coming together to change the way we go-to-market: First, AI products have to run on your data, inside your workflows, against your real edge cases, before anyone can honestly say whether they work. That demands embedded technical help during the buying process. 

Second, seat-based pricing is losing ground to consumption and outcome-based models, which means proving value continuously, not just at signing. Emergence Capital’s 2025 Beyond Benchmarks report found that beyond $50M ARR expansion already accounts for 58% of growth. The commercial logic is clear: If post-sale value determines your revenue trajectory, you need someone making sure that value gets delivered.

The fact that Salesforce is committing to thousands of FDEs, and that Replit is replacing traditional Sales Engineers with Field Engineers entirely, tells you something about how far along in the transformation we already are. When companies at that scale make structural GTM changes, it’s usually confirmation that a market shift has already happened, not a prediction that one is coming. The net effect: Other boards see those big company moves and add them to the mandate.

Forward-deployed engineers work well for platform and workflow companies. A clear example is ServiceNow: the platform allows users to build actual workflows, integrations, and applications specific to their environment. An FDE embedded in that context is doing real custom engineering work, building proofs of value against live environments, and solving integration complexity that requires genuine technical depth. The deal size and expansion potential justify the investment.

For more traditional SaaS, the picture is different. If your product succeeds when data gets loaded, configurations get set, and adoption gets driven, what you need is strong implementation. FDEs work best when building on top of a platform; configuration and POC management are a different skillset entirely. Calling it “FDE” doesn’t change the job requirements. It just affects what you pay for it.

The FDE conversation is loud and getting louder — because it’s been building momentum for a long time, ever since B2B SaaS sellers started making promises that solutions and customer success couldn’t keep.

FDEs might not be the answer for every company. But the pressure driving them isn’t going away. Before asking whether to hire one, ask what the hiring decision is really a response to: a genuine product and motion that supports embedded engineering, or a board mandate that landed without a playbook. The latter is an expensive way to find out what the rest of the industry is already learning.

One question cuts through it: does your customer need you to build, or configure? 

Buyers have had to raise the bar because sellers kept breaking their trust. The GTM organizations that meet that bar consistently — with real proof delivered early and value realized after signature — are the ones that will win the next decade of enterprise software.

James Kaikis is the co-founder of SolutionExec, a private network for solutions leaders in B2B SaaS, and the founder of GTMshift, a consultancy for GTM operators. He has spent his career across startups, scale-ups, and enterprise organizations including Salesforce, with experience spanning sales, solutions, and customer experience.

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