Instrument everything
If it isn't measured, it's a rumor. Every campaign, sequence, and send emits telemetry (reply rates, bounce curves, sender reputation) that feeds back into the system.
PETER GALILEE
MARKET ARCHITECT
// core thesis Marketing is an engineering problem.
01
THESIS
Most companies treat marketing like an art project: taste, luck, and vibes. I treat it like infrastructure. Audiences are datasets. Funnels are pipelines. Messaging is a function of input signals. And anything that runs twice should run itself.
Automate the repeatable
Humans should make judgment calls, not copy-paste. Targeting, enrichment, personalization, and follow-up are code paths: versioned, tested, and shipped.
Compound the learnings
A campaign that fails with data is worth more than one that wins without it. Ship, measure, refine, redeploy. Growth is an iteration loop, not a bet.
02
VENTURES
Two companies, one architecture. Each venture runs like production software: designed, instrumented, and iterated — never guessed.
PROC.01● RUNNING
Simplimate
AI-operated GTM engineering for B2B SaaS. The machine plus the architecture: an AI agent executes every wave of the build inside a system a senior operator designed — and a human signs everything before it reaches a buyer.
PROC.02● RUNNING
GovCon One
AI capture intelligence for federal contractors. A SAM.gov opportunity goes in; an evidence-backed bid / no-bid call and a compliance-first proposal starter come out — in minutes, not weeks.
03
STACK
The acquisition architecture under the ventures: five layers that turn targeted data into landed, qualified conversations. Audiences are datasets, funnels are pipelines — each layer instrumented, versioned, and automatable.
SYS.01● LIVE
Acquisition Engine
The orchestration layer. Audience definition to launched campaign as one continuous, observable pipeline: targeting, messaging, sending, and feedback in a single loop.
SYS.02● LIVE
Data Warehouse
Clean, verified, campaign-ready audience data. Bad data burns sender reputation, so validation, dedup, and freshness checks run before a single message does.
SYS.03● LIVE
Enrichment Center
Raw contacts in, context out. Firmographics, roles, intent signals, and local-market data layered on so every message can be shaped to the person receiving it.
SYS.04● LIVE
Outbound Portal
Deliverability as infrastructure: authenticated domains, sender rotation, warm-up schedules, and controlled volume. Great messaging is worthless if it never lands.
SYS.05● LIVE
AI & Automation Layer
The multiplier across everything above. AI-assisted personalization at scale, automated QA on lists and copy, and agents that handle the repeatable so operators only touch the exceptions.
04
OPERATOR
Peter Galilee bridges the gap where growth breaks down: between understanding the market and building the machine. Engineer's hands, business-school head. That's where the most interesting problems live.
NOW
Founder & Market Architect
Building Simplimate — AI-operated GTM engineering for B2B SaaS — and GovCon One, AI capture intelligence for federal contractors. Same discipline in both: design the system, instrument it, let the machine run it.
EDU
USC Marshall School of Business
Graduated magna cum laude. Trained to read a P&L; chose to write the software that moves it.
MODE
Full-stack market architecture
Comfortable across the whole surface: data pipelines and edge infra on one end, positioning and offer design on the other. The interesting problems live at the seam.
05
CONTACT
Have a growth problem that might be an engineering problem?
It probably is. Send a signal. I read everything.