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From Intelligence Officer to AI Builder

I served as a U.S. Marine Corps Ground Intelligence Officer from 2008-2017. The Marine Corps taught me that leadership isn't about knowing everything—it's about setting clear intent and empowering your team to execute.

After the Marines, I joined Amazon. Over 8.5 years, I progressed from Operations Manager to Principal Product Manager—learning how to build at scale alongside some of the world's best engineers, data scientists, and product leaders.

David Marshall

Amazon: 8.5 Years of Scale

2017 - Present

Operations → Last Mile → Fleet Marketing → AI/ML. I learned to ship products serving hundreds of millions of customers—not as an engineer, but as a product leader.

  • AVN Detection System: 333x cost reduction, 100% accuracy
  • Fleet ID Systems: $149M program, $28.6M annual fraud prevention
  • Fleet Marketing: $700M channel across 70 regions
  • GenAI Strategy: 30-40% productivity gains

Personal AI Journey: 3+ Years

Started 2022 — Nights, weekends, early mornings

In 2022, I started learning AI on my own time—completely separate from Amazon work. My vacation rental business (Oak Creek Retreat) sparked it: I needed to automate operations.

  • ELEMNT.ai: Multi-agent content platform for thought leaders — Shipping 2025
  • SedonaOps.AI: Vacation rental operations automation — In Development
  • Oak Creek Retreat: First AI-built product for vacation rental business — Launched

December 2024: The Paths Crossed

After 2+ years of personal AI learning, I started applying those skills at Amazon. By May 2025, I was in a Principal PM role focused on AI/ML. By July, I'd built the AVN Detection System—333x cost reduction, 100% accuracy.

The thesis proven:

Domain expertise + AI tools + discipline = production capability

The Learning Journey

Transparent about the process, including the failures

December 2022

First ChatGPT experiment

Oak Creek Retreat sparked it—needed to automate vacation rental ops

2023

Deep AI exploration

Nights, weekends, early mornings—all personal time

January 2025

AWS GenAI Practitioner Certification

Took 2 attempts—the failure taught me what I didn't know

2024

Claude Desktop → WindSurf → Claude Code

Each tool unlocked new capabilities

December 2024

AI skills merge into Amazon work

2+ years personal learning → enterprise application

May 2025

Principal PM role at Amazon

New role with AI/ML focus

July 2025

AVN Detection System

333x cost reduction, 100% accuracy. Built with skills learned on personal time.

Present

3+ years deliberate practice

Still learning. What am I missing?

Speaking & Thought Leadership

  • The Non-Technical Builder Path

    Domain expertise + AI tools + discipline = production capability

  • Commander's Intent for AI

    Military doctrine applied to AI agent orchestration

  • AI Adoption That Actually Works

    Building foundational skills without engineering dependence

Amazon Career Progression

  • 2025 - Present

    Principal Product Manager, AI/ML

    Amazon Last Mile

  • 2019 - 2025

    Sr. Product Manager, Fleet Marketing

    Amazon Last Mile

  • 2018 - 2019

    Regional Fleet Manager

    Amazon Last Mile

  • 2017 - 2018

    Operations Manager

    Amazon Fulfillment

2008 - 2017

Ground Intelligence Officer (0203)

U.S. Marine Corps

Core Values & Philosophy

AI is a leadership challenge

The hardest part of AI adoption isn't building models—it's aligning stakeholders, defining success metrics, and ensuring AI serves real business needs.

Creativity beats credentials

I've seen creative PMs without CS degrees outperform PhD data scientists when it comes to shipping AI products customers love.

Accessibility isn't optional

If AI remains accessible only to technical elites, we'll miss the diverse perspectives needed to build AI that serves everyone.

Impact over algorithms

A simple AI solution that solves a real problem beats a sophisticated model that solves no problem at all.

Questions? Disagreements?

I'm always learning. If something here resonates—or doesn't—I'd like to hear about it.