WorkspaceAbout
Daniel Moran
About

Software engineering rigor, applied to modern marketing.

I’m Daniel Moran, an AI marketing leader and marketing engineer based in North County San Diego, California. My background combines a Bachelor of Science in Computer Science from the University of San Diego (2018–2022) with five years of systems engineering at Cubic Transportation Systems, writing Java, Python, and C++ across transit-fare programs. I now apply that engineering background to marketing operations: building AI-augmented systems for attribution, content production, and CRM automation that help teams ship faster and spend less.

Roles

At Wealth Enhancement Group I designed and run an AI marketing-automation platform of 90+ scheduled jobs that took 85+ recurring tasks off the marketing team, built generative-AI content pipelines where every prospect-facing asset passes a compliance screen and human sign-off, and architected the multi-channel attribution model leadership uses for budget decisions. Before that I was Director of Marketing at Novadontics (May 2025 – January 2026), where I owned marketing across three brands, reported into the CEO, and rebuilt the HubSpot lifecycle and Google Tag Manager attribution in ninety days. I am also co-founder and CMO of Nokkomo Mints, where I built the marketing function from inception, built an intern program now 24 strong across eight universities, covering creative, content, and Amazon operations, and reduced Amazon Advertising ACOS from 81% to 38% in 2024 while scaling daily ad spend 3×. The brand now sells across four channels (Shopify, Amazon FBA, Walmart, TikTok Shop), and B2B wholesale is the current growth motion.

Separately I run HAZE, a registered trademark covering creative brand work in art, music, and apparel, which keeps me current on consumer-side marketing.

How I think about the work

Most marketing teams I have worked with are bottlenecked not on strategy but on operations: manual reporting, fragmented attribution, content production that does not scale, and stacks of point tools that no one fully connects. My approach is to treat the marketing function the way a product team treats a product surface: measure it carefully, automate what is repeatable, document what is not, and review performance on a consistent operating cadence.

I focus particularly on the application of current AI tooling to marketing operations. That includes large language models for content generation and quality review, Model Context Protocol servers for first-party data access from within agents (I authored an open-source MCP server for HubSpot CRM), automated content production pipelines, and AI-assisted attribution and reporting. Used well, these tools materially reduce the cost and time required to operate a modern marketing function while improving measurement.

What I’m looking for

  • AI marketing, product marketing for AI products, and marketing engineering roles, as a senior individual contributor or marketing leader.
  • Companies that value measurement and automation as first-class parts of marketing, not afterthoughts.
  • Industries: AI platforms and developer tools, B2B SaaS, B2C software, DTC e-commerce, and other modern, data-rich businesses.
  • Remote, hybrid, or in person around North County San Diego, California.

How to reach me

Email is fastest: daniel54269@gmail.com. I reply within 24 hours. More ways to reach me, or download the résumé (or the AI engineering version) if you would prefer to skim.