Why CSMs Cannot Become Forward Deployed Engineers
Forward Deployed Engineer postings increased 12x in a single year, according to ICONIQ's 2025 GTM survey of 205 B2B SaaS executives. That is not a trend. That is a structural shift in how AI companies operate.
The problem: most companies are looking at their Customer Success teams wondering if they can bridge the gap. Usually, they cannot.
The Jobs Are Not The Same
A CSM manages relationships and renewal risk across 8 to 12 accounts. An FDE embeds with 1 to 3 customers, writes and debugs workflows, clears deployment blockers daily, and owns whether the AI actually works in production.
Those are not the same skill set. They are barely the same profession.
The required skill set is closer to a solutions engineer or junior PM with strong customer empathy than a traditional CS rep. Most CS teams do not have it, and retraining takes longer than companies want to admit.
The Economics
FDE work is expensive and slow by nature. A single customer deployment can take 30 to 60 days of daily embedded time. Most CSMs cannot do that inside their existing book of business without dropping accounts.
The ACV math is unforgiving:
- $50k+ ACV: FDEs are profitable and necessary.
- $10k to $50k ACV: Hybrid models with automation can work.
- Under $10k ACV: You must systematise implementation or the economics never close.
What Post-Sale Orgs Look Like Now
AI-native companies are running a fundamentally different structure than traditional B2B:
- Traditional B2B: 60% CSMs, 20% support engineers, 15% implementation specialists.
- AI-native: 25% CSMs, 40% FDEs and implementation specialists, 15% ML/AI specialists.
That 40% going to FDEs is not overhead. It is what creates time to value, which drives expansion, which drives the business.
One VP of Customer Success at a Series B AI company: "We spend 3x as much in the first 90 days as a traditional SaaS company would. But our churn is half, our expansion rate is double, and our customers require 40% less ongoing support after month 3. The math works."
The 5% Who Can Make The Switch
There are CSMs who can become FDEs. They have actual engineering backgrounds or deep technical AI domain expertise. They have spent time in the product, not just around it.
But they are rare. And even then, you are usually better off hiring purpose-built FDEs than trying to retrain relationship managers into builders.
The skills that make someone a great CSM (empathy, account management, renewal instinct) do not transfer into daily debugging sessions and workflow architecture.
What This Means For ANZ Sales Orgs
If you are selling AI tooling or complex enterprise software, expect post-sale headcount mix to shift hard toward technical implementation roles. That changes comp structures, hiring profiles, and how you think about customer onboarding.
For CSMs looking at career options: this is not a natural transition unless you already have strong technical depth. If you want to move into more technical customer-facing work, look at Customer Success Engineer roles first. They sit between CS and FDE, requiring technical competency without full deployment ownership.
For companies: hire one strong FDE, embed them with your top 3 to 5 customers, and document exactly what they do. That playbook becomes your scaling blueprint. Do not try to turn your CS team into engineers. It rarely works.