34.0522° N / 118.2437° W / LOS ANGELES, CA / SYSTEMS NOMINAL

PETER GALILEE

Portrait of Peter Galilee
PG

// core thesis Marketing is an engineering problem.

CTO @ SIMPLYLINKED USC MARSHALL · MAGNA CUM LAUDE
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.

P.01

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.

P.02

Automate the repeatable

Humans should make judgment calls, not copy-paste. Targeting, enrichment, personalization, and follow-up are code paths: versioned, tested, and shipped.

P.03

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

SYSTEMS

What I build at SimplyLinked: the technical stack behind an acquisition engine that turns targeted data into qualified conversations.

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.

ORCHESTRATIONPIPELINES
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.

DATA ENGVERIFICATION
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.

SIGNALSINTENT
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.

DELIVERABILITYINFRA
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.

LLMSAGENTSAUTOMATION
03

OPERATOR

Engineer's hands, business-school head. I sit in the gap where most growth breaks down, between the people who understand the market and the people who can build the machine.

NOW

CTO @ SimplyLinked

Building the technical systems behind SimplyLinked's acquisition engine: automation, AI, and outbound infrastructure for B2B and B2C customer acquisition without the chaos.

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 growth engineering

Comfortable across the whole surface: data pipelines and infra on one end, positioning and offer design on the other. The interesting problems live at the seam.

04

CONTACT

Have a growth problem that looks like an engineering problem?

It probably is. Send a signal. I read everything.

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