GTM Engineering · AI-Native Systems

Building the AI-native operations layer that makes marketing repeatable and scalable.

Esme Fong
50% cycle time cut
Amplifying consistent growth output across three brands.
→ The system
75% conversion lift
From a four-segment re-engagement campaign.
→ Applied to lifecycle
342% DAU growth
From disciplined market prioritization, not headcount.
→ Built on data
Connect on LinkedIn → See the work
Where It Started

Same instinct, four contexts.
Marketing is infrastructure. I build it.

Enterprise IT systems at Chevron, fintech infrastructure at ProBit, partner operations automation at BC Labs, AI-enabled go-to-market at Atrium. Across all four, the work was building systems that turn wins into formulas you can repeat at scale.

2010 — 2017
Grew from Security Analyst through Database to Senior Business Analyst on enterprise IT supporting global business units.
Database, ERP, and SOX-compliance systems that ran through cross-functional teams. SQL automations cut refresh time by 57%.
2018 — 2024
Promoted from Analytics Manager to Marketing Director at a global crypto exchange, leading a 15-person team across the product suite.
A market prioritization model selected 10 from 40 candidate markets, driving 342% DAU growth and 7.4× ROI.
2024 — 2025
Drove marketing and growth across Web3 consumer, B2B infrastructure, and institutional product lines as Marketing and Growth Lead.
Partner segmentation and onboarding dashboards wired via Make, Zapier, Slack, Google Workspace.
2026 — Now
Built and ran growth solo across Atrium, LevelUp Labs, and Learn Prompting as Product Marketing Manager (Operations & Systems).
AI-enabled growth operating system spanning voice, ideal customer profile (ICP), channel playbooks, quality review. Cycle time cut by 50%.
Selected Work

Four projects, one operating system.
Architecture, output, range, and rigor.

AI-Enabled Growth Operating System case banner showing four version-controlled brand repositories
The system

Cut content cycle time by 50%, amplifying growth output

An AI-enabled growth operating system spanning brand voice, ICP, channel playbooks, and content quality review. Built and run solo across three brand repositories, each version-controlled and synced from a canonical detector.

GTM Engineering ICP Development
Read on →
AI-Enabled Content Operations case banner showing voice range across three brands
In production

Held three voices, beat every benchmark

AI-enabled content operations held three brand voices distinct across email, Substack, and X. 28.17% open rate on a course launch email and 2.5× subscriber acquisition on a guest post.

Brand Voice AI Workflows
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Lifecycle Re-engagement System case banner showing four-segment audience re-engagement
Applied to lifecycle

75% conversion lift over projected

A four-segment lifecycle re-engagement system tailored to each lapsed-cohort segment's actual blocker. The audience already existed, so the work was naming the blocker before the message.

Lifecycle Marketing Re-engagement
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Market Prioritization Framework case banner showing weighted scoring across 40 candidate countries
Built on data

342% DAU growth, 7.4× ROI

A weighted market prioritization framework scored 40 candidate countries on three signals (trading volume, signups, and service value) and selected 10. Tiered budget allocation reviewed quarterly on LTV/CAC and DAU.

Data-Driven GTM Tableau
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Portrait photo of Esme Fong
About Esme

Marketing as infrastructure.

The instinct came before crypto, before AI. It started at Chevron, where I built database and enterprise systems for the analysts who would inherit them. The pattern has carried since. Marketing is infrastructure, and I build it because systems turn wins into formulas you can repeat at scale.

At ProBit, I scaled trading volume 50% during a bear market with zero incremental budget and grew DAU 342% by finding markets competitors ignored. At BC Labs, I built partner operations automation across 60+ partners on Make, Zapier, Slack, and Google Workspace. At Atrium, I run the AI-enabled growth operating system across three brands.

What's next is more of this work, inside AI-native and B2B SaaS companies where the marketing systems leverage is high.

Get In Touch

If you need both strategy and execution for your B2B SaaS or AI-native products, let's talk.

Happy to connect on LinkedIn.

Message on LinkedIn