Something I’m noticing across two different sets of conversations.
I talk to founders all day. And I talk to high-performing Founding AEs all day.
For a long time those conversations didn’t overlap much. Founders wanted help on positioning, pipeline, the first hire. AEs wanted help on evaluating opportunities, navigating founders, knowing when to leave.
That’s changing.
Because the best Founding AEs are already running personal AI operating systems. And the founders hiring them mostly don’t know it.
The AEs I’m talking to aren’t using AI the way most companies are deploying it. They’re not sitting around waiting for their company to roll out a tool.
They’re building stacks themselves.
One AE has a workflow that ingests every call recording and surfaces the moments where the buyer’s tone shifted.
Another has agents wired into their CRM, Slack, calendar, and email — preparing for every meeting before they walk in.
Another has built their own coaching loop. They feed their last ten calls into a model and ask: what am I doing now that I wasn’t doing six months ago? What’s working? What’s drifting?
Different stacks. Different tools. Different workflows.
Same underlying behavior.
They’re not waiting.
They can’t.
The Founding AE role has always been hard. You’re selling a product that might pivot. You’re reporting to a founder who’s never sold before. You’re figuring out what good looks like in a seat with no precedent.
The role is changing daily.
What was a competitive advantage twelve months ago is table stakes today. What’s table stakes today won’t be enough twelve months from now.
The AEs who survive that don’t wait for their company to define the future of their job.
What I’m watching closely is the gap between AI-native AEs and everyone else.
It’s not the gap you’d expect. It’s not about who closes more deals this quarter.
It’s about who learns faster.
An AI-native AE running their own coaching loop is learning every week. Every call gets analyzed. Every pattern gets named. Every mistake gets fed back into the system.
An AE without that loop is learning the way people have always learned. Slowly. Inconsistently. From memory.
That gap compounds.
Six months in, the difference is small. Eighteen months in, it’s enormous. Three years in, you’re looking at two different categories of seller.
Here’s where it matters for founders.
If you’re hiring a Founding AE this year, you’re not hiring for the role you were hiring for two years ago.
But most founders are.
They’re still evaluating on criteria from the old world: tenure at brand-name companies, quota attainment in scaled environments, references from former managers.
Those signals were never great for early stage. They’re getting worse.
The signals that matter now look different.
How does this candidate already work with AI?
What’s their personal stack? Not what does their current company give them. What are they running on their own time?
How do they think about learning loops? About feedback? About iteration speed?
Can they describe a workflow they built themselves in the last year?
If the answer is “we use Gong” or “my company gave us Outreach” — that’s not the answer that tells you anything. That’s company-issued tooling. That’s not who they are.
The signal you want is the AE who built their own thing because they had to.
This matters more for early stage than for anyone.
A scaled company can absorb hiring mistakes. Bench depth. Internal training. Established motion.
A startup hiring its first AE can’t.
The Founding AE you hire is the operating system you embed in your motion. If they’re AI-native, your motion compounds. If they’re not, you’re building something someone else will have to fix in eighteen months.
That’s not a tool decision.
That’s a hiring decision.
This is part of why I started a new program getting early-stage products directly into the hands of high-performing Founding AEs.
Not for feedback theater.
For real-world workflow adoption.
Because the people closest to revenue are usually the first to see where the market is actually going.
More here: daverubinstein.com/founding-ae-stack