About

Revenue operator turned systems builder.

Air Force crew chief → B2B SaaS revenue leader → AI-native GTM engineer.

Nick French

I started in the Air Force as a crew chief on Boeing KC-135s. From there I went into B2B SaaS, first as a BDR, promoted into sales in seven months, then worked my way through AE, Regional Manager, and Director of GTM into RevOps and product.

Ten years of that has spanned general industry, healthcare, eLearning, data analytics, and real estate. The buyers, sales cycles, and objections change; the infrastructure problems look remarkably similar.

I've been on the revenue side long enough to know what a broken system costs, and on the build side long enough to know what's actually fast to fix. Most GTM problems I've seen are infrastructure problems wearing strategy labels. The data doesn't connect. The report exists but nobody trusts it. The buyer moves from marketing to trial to sales, but nobody owns the full path.

Since 2018, I've run 5,000+ virtual B2B SaaS product demos. At Paperless Pipeline, I own that path: the website, content and acquisition systems, customer-facing web apps, 1,000+ product demos over two years, activation and trial-to-paid metrics, a unified revenue data layer, internal RevOps tooling, and weekly executive funnel reporting.

I build the working system, put it into production, and operate it against the metric it was meant to move.

Currently Revenue Systems & GTM Infrastructure Lead at Paperless Pipeline. My independent products are an R&D lab for AI-native software and GTM systems. MBA from WGU, B.S. in Biology from WSU, and an AAS in Aerospace Technology Systems. USAF veteran.

Revenue ownership
10+ years from BDR to Director of GTM, with direct ownership across acquisition, demos, activation, conversion, and reporting.
Data systems
I connect siloed GTM sources into a trusted operating layer, then build the dashboards and workflows the business runs on.
AI-native delivery
I use Lovable, Claude Code, Codex, and structured AI workflows to ship production systems in weeks.
Executive judgment
I turn funnel instrumentation into a weekly decision rhythm: what moved, where the constraint is, and what the team should do next.
Business systems thinking
MBA plus operator experience. I scope builds around measurable business outcomes, not feature lists.
Speaking

Operator-first talks on GTM and AI.

I don't talk about AI in theory. I talk about what I've built, what I've shipped, and what I've seen move pipeline.

The AI-Native GTM Stack
Keynote / Panel

What the modern revenue engine actually looks like and how to build it without the buzzwords. Real architecture: intent signals, AI-powered outbound, LLM-assisted discovery, and what to rip out.

Audience: Revenue leaders, GTM ops, founders
Outbound in 2026: What Still Works
Workshop / Talk

I've placed 100k+ cold calls and run high-volume cold email at multiple companies. Here's what the data says about what moved, what died, and what AI tools are actually changing.

Audience: Sales leaders, AEs, BDRs
The Data Layer and Modern SaaS
Keynote / Panel

The next competitive moat in B2B is the data layer: who runs what stack, which signals predict a deal, and what the buying committee looks like before they raise their hand.

Audience: GTM leaders, founders, product and revenue teams
AI Agents in the Revenue Motion
Workshop / Talk

I run Fin AI in production, deployed an outreach learning flywheel, and built a GTM OS with live signal attribution. This is what deployment actually looks like.

Audience: RevOps, Growth, AI-curious operators
Book a talk or podcast
Conferences, summits, webinars, podcast conversations. Remote only.
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