About · Tyler Loud

Ten years selling SaaS taught me the playbook works. The reps pairing it with AI are going to pull away.

A decade selling enterprise SaaS — Oracle, NetSuite, and niche construction SaaS. Formally trained in MEDDIC, Sandler, Costigan, and BANT. Now building the AI-fluent version of the sales motion I learned.

The arc

From Oracle to niche SaaS, and back again.

I started at Oracle in 2015 through the Class Of program, selling on-prem and cloud ERP, EPM, SCM, and HCM. Five years, three roles. Oracle is where you learn the job: position before you pitch, qualify hard, never give value without asking for value back, control what you can control all the way to close.

After Oracle I moved into construction SaaS — GoContractor first, then STACK. Smaller logos, tighter markets, deals where the brand doesn't open the door for you. That stretch taught me more than the Oracle years did. The safety net was gone.

Went back to NetSuite as a Corporate Account Manager. Oracle's cloud ERP, built on OCI, sitting at the front edge of AI-driven business systems. I supported a portfolio of installs and helped them scale their cloud architecture.

Selling is still the same job. Frameworks, reps, reading the room. What's different is what one rep can actually do in a day. The reps who figure that out are going to pull away from the ones who don't.

Where I've sold
Oracle
Cloud ERP, EPM, SCM, HCM
5 yrs · 2015–2020
GoContractor
Construction SaaS
2020–2022
STACK
Construction SaaS
2022–2024
NetSuite
Cloud ERP
2024–2026
Selling into accounts from $2B to $10B+ in annual revenue. Industries from manufacturing and construction to financial services. Roles spanning new-logo enterprise sales, strategic sales, and account management across the install base.
Point of view

What I actually believe about sales and AI.

Most takes on "AI for sales" are either dismissive (it's just autocomplete) or breathless (it replaces reps). Both are wrong. Here's where I land:

01
Sales is a craft. AI is leverage on top of it.
The fundamentals — positioning, qualification, value exchange, joint execution plans — don't change because a model can write a follow-up email. What changes is how fast a good rep can do the work. AI is a force multiplier on craft. It's not a replacement for it.
02
Most "AI for sales" is autocomplete for cold emails. That's not the unlock.
Sending more bad emails faster is not a strategy. The real unlock is the unsexy work: account research, qualification, multi-thread mapping, deal-specific follow-through. The parts that actually decide whether a deal closes.
03
The reps getting replaced by AI aren't being replaced by AI.
They're being replaced by the rep two desks over who learned it first. The threat isn't the model. The threat is the human who pairs with it earlier than you do.
04
You can't AI your way out of bad discovery.
Wants are what people ask for. Needs are why they're asking. AI lets you find the why faster — but the why is still what closes the deal. Reps using AI to send more emails are solving the wrong problem.
Off the clock

Outside of work.

Tyler Loud — promise, I'm not that loud.

Grew up in Fairbanks, Alaska. Went to college at Gonzaga. Joined Oracle Class Of and moved to Boston in 2015. Enjoy the outdoors, working out, tennis, professional sports, investing/finance, reading, and cooking.

Average athlete. But I skipped first grade.

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