Enterprise Systems
That Outlast
the Initiative

Fifteen years designing the operating infrastructure that lets large, complex organizations scale without losing execution quality. At Amazon, that meant billions in revenue. Everywhere else, it meant the same thing: a system that runs after you leave the room.

$3.51B
Tentpole revenue 2024 (+19.7% YoY)
500
Whole Foods stores on new operating model
5 wks
Zero to full global adoption
23%
YoY total program growth, Prime Day 2024
See the Work Let's Connect
Michael D. Moore

Core Capabilities

Operating Model Design Program Governance Zero-to-One Execution Enablement Architecture AI-Enabled Workflow Integration Mechanism Design
About

I step into environments where execution is inconsistent and design the operating systems that fix it. I do not maintain systems. I design them.

I have spent fifteen years connecting strategy and execution, taking on assignments where existing systems are under strain and translating leadership intent into durable operating architecture that holds long after the initiative closes.

My work spans operating model redesign, commercial program governance, revenue enablement infrastructure, and AI-enabled workflow integration. The pattern is the same across every engagement: diagnose where execution breaks down, then architect the system that fixes it permanently. At Amazon, that meant governing a $3.51B tentpole program covering 35% of total LCS revenue, across globally distributed teams. At Whole Foods, it meant designing a data layer that did not exist to stand up inventory operations across 500 stores. At L'Oreal, it meant designing a service model so reliable that a $400M book of business grew 110% year over year.

The last two years have added a new capability layer. I completed MIT's Applied Data Science program, earned Google's Advanced Data Analytics certification, and now design and ship applied AI systems daily. The job search pipeline that powered this search is itself an AI system I designed and shipped from scratch. I do not apply AI tools to existing workflows. I design AI-native workflows from the ground up.

Case Studies

Three Systems. Measurable Scale.

Each engagement started with fragmentation. Each ended with a governed operating system that outlasted the initiative.

Amazon Ads

$3.51B

Tentpole Revenue 2024

Redesigned tentpole events from fragmented vertical efforts into a unified, phase-based commercial operating system. Pitch coverage went from 32% to 80%+. Prime Day 2024 grew 23% YoY. Closed-won AM revenue grew 46% YoY.

Whole Foods Market

500

Store Operating System

Designed a zero-to-one inventory visibility system across 500 stores with no source systems. Created the data layer that did not exist, reduced defects by 25%, and accelerated engineering timelines by six months.

L'Oreal at Amazon

110%

YoY Portfolio Growth

Designed and led the Brand Concierge operating model for a $400M book of business. Achieved 99% fill rate, 100% IDQ, and 110% YoY portfolio growth by treating the account team as an extension of the client organization.

Amazon Restaurants (City Manager scope)

Pilot Authorship and Metro Strategy

3 pilots

Onboarding, Hotel, Apartment proposals

  • 15-module CM Training Leone v4 curriculum
  • 38 to 10 day cycle time reduction proposed
  • Q1 2017 Metro Strategy Doc authored

Amazon Fulfillment OAK4

Inbound and ICQA Operations

11 promos

In 3 months. Team Leader pipeline.

  • 15% stow rate gain (265 to 290 units/hr)
  • ICQA Standard Work 1.0 + PSolver v1/v2/v3
  • 300+ associates across IB Round 2 and Round 3

MDM Enterprises, LLC (DBA Dormroom Deliveries)

Pre-Platform Restaurant Delivery

2006-2009

Before DoorDash, Postmates, Uber Eats

  • Real LLC, QuickBooks, signed Commission Agreements
  • $1M+ annual revenue, ~3,000 student customers
  • Year-end report authored at age 22

Amazon Franchise Operations

Network Playbook Design

$3M+

Quarterly incremental revenue

  • 40 franchise partners scaled
  • 20% defect reduction across network
  • Playbook adopted org-wide from scratch

LCS Academy

Enablement Redesign

8 wks → 5

Ramp time, 100+ account managers

  • Live participation 50% to 85%
  • Curriculum expanded 30% to 40 modules
  • 90%+ satisfaction across six cohorts

Rocket Learning

Sales Infrastructure Design

90%

Win rate on competitive bids

  • $15M+ in contracts closed
  • 33% market share growth in 18 months
  • Sales infrastructure and playbook designed from zero
Saka One

Operator-led Venture Portfolio

Five active products. Four AI-native architectures. Solo build with AI augmentation. The pattern from Amazon scale, applied to AI products and small business operating systems.

Saka One. V1 Designed (Pre-Launch)

Keppa

4 components

AI receptionist orchestration architecture

  • AI agent + whisper transfer + intake + digest
  • Capability-as-a-Service across 3 families
  • 5 critical unknowns documented as V1 bets

Saka One. V1 Doctrine

BUILD Coach

5 stages

AI sales reinforcement w/ partner

  • Begin, Understand, Improve, Lock In, Deliver
  • Pattern library trained on lived sales experience
  • SOTO walkthrough, Deposit Finder, Stuck Deal Recovery

Saka One. MVP Build

Project Bridge

Aug 2026

Scholarship readiness platform pilot

  • Claude API extraction active. Vapi voice intake planned phase 3.
  • Counselor dashboard for cohort visibility
  • Charter network pilot in Northern California

Saka One. Pilot v1

CRE Deal Scenario Platform

NBD

Commercial debt pre-screening

  • 7-step intake to indicative scenario
  • Confidence scoring framework
  • Operator in the loop with brokerage partner

Saka One. Exploring

Acquisition Track

Active

Business acquisition path

  • Domain research and target screening
  • Operator-led ownership thesis
  • Complement to capability platform play

Saka One. Operating Principle

Capability as a Service

Modular

Each capability one sentence to understand

  • Cheap to try. Fast to deploy.
  • Narrow to understand. Useful to keep.
  • Modular to stack as the business grows.
Build

AI-Native from the Ground Up

Beyond applying AI tools, I architect AI-native systems. These are four products in active development across the Saka One portfolio in 2026, each combining voice interfaces, LLM reasoning, confidence scoring, and real-time data to solve problems that previously required full engineering teams.

In Development · 2026

Project Bridge

Scholarship Navigator · Student Readiness Platform

A counselor-led readiness platform that helps high school students build scholarship profiles before deadline pressure hits. The Claude API extraction and gap diagnostic layer is active today; the Vapi voice-first intake architecture is planned for phase 3 (manual form is the current intake path).

Claude API (active) Next.js Supabase Vercel Vapi (phase 3 planned)
In Development · 2026

BUILD Coach

AI Sales Reinforcement Layer

The AI coaching layer for a field sales training system. Trained on proprietary pattern recognition and scenario logic. Fills the dead zones: the truck before the call, the parking lot, the debrief that never happens because the manager is not there.

Claude API Structured Prompting Pattern Library
Track Record

How the Work Gets Described

Observed patterns across six years of cross-functional environments, enterprise programs, and people leadership at Amazon scale.

Sees the system, not just the problem

The feedback that recurs most consistently is the ability to operate at two altitudes simultaneously. Diagnose root causes at ground level, architect solutions that hold at scale. Multiple stakeholders across years independently landed on the same observation.

"His capacity to navigate controversial waters, find alignment between teams, and bring new insights to the table is impressive, allowing key initiatives to move from ideation to implementation."

Installs systems that run without him

The consistent theme across programs is not delivery. It is durability. From Whole Foods inventory operations to global Tentpole governance, what peers and managers noted year after year was not that the work was completed. It was that the work kept producing.

"His talent for taking ownership and scaling solutions across teams was instrumental in addressing challenges during leadout phases, successfully incorporating these approaches into the broader GTM strategy."

Earns the trust that makes cross-functional work move

The most commercially relevant signal in the reviews is how he operates in environments where authority is distributed. Working relationships across product, retail, sales, and engineering earned over time, and those relationships become the mechanism for execution.

"He was able to serve as the trusted expert in his space that stakeholders went to when they had questions. A top-notch partner who can go deep, while also thinking big and strategically at the same time."

Translates leadership intent into executable systems

The clearest signal from direct reports and leadership alike is clarity under ambiguity. Where others see competing priorities, he sees a sequencing problem. Where others see blocked initiatives, he sees the path through the org chart.

"He excels at breaking down challenges, translating leadership directives into clear, prioritized goals, and instilling a culture of accountability."

Observed across enterprise retail integration, global advertising programs, cross-functional product and operations, and people leadership at Amazon scale.

Six years of formal review signal across multiple organizations

Where This Work Applies

These systems are deployed in environments where execution breaks down across teams, functions, or markets and no single group owns the full outcome.

Principal Program Manager

Cross-functional execution, operating cadence, initiative governance

Business Operations / Strategy & Operations

Decision systems, accountability structures, executive visibility

Transformation / Special Projects

Zero-to-one operating model design in fragmented environments

Chief of Staff / Head of Strategy & Operations

Executive cadence design, strategy doc authorship, escalation routing, leadership alignment

Director GTM Operations / Revenue Operations

Pitch coverage governance, sales execution mechanism, deal planning cadence, close rate transformation

AI Product Manager (Senior or Principal)

AI product roadmap, agentic architecture with HITL, confidence scoring, multi-product portfolio

This is ownership of execution systems and outcomes, not advisory support.

Contact

I design operating systems that outlast the people who commission them and teams that keep delivering after I am out of the room.

If you are building something that requires both executive-level thinking and ground-level execution, this is the work I do.

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