Garreth Dottin

About

Fortunate enough to have built for the World Bank, Amazon, and Chanel. Now I build GTM systems.Most GTM engineers are salespeople who learned automation tools. I went the other direction a decade as a software architect at enterprise scale, now pointed at revenue.• At Chanel's Innovation Labs, architected an AI Lead Evaluation Tool that scores and ranks startups as potential partner brands — cutting evaluation time 35% and growing the evaluated pipeline 42% without added headcount• At Amazon, shipped the AI assistant for the AWS re:Invent mobile app (Bedrock + Amazon Q), plus the evaluation systems that proved it worked• For e-commerce clients, built AI retention systems that lifted repeat-buyer AOV 35% in 90 days, and autonomous content engines producing 600+ short-form creatives per monthHere's the difference between a workflow and a system: what happens at scale. Anyone can wire up an n8n automation. Building one that runs hundreds of times a month without babysitting — that's architecture. That's what I bring to GTM engineering that most people in this space can't.Stack: Claude, Clay, n8n, Apollo, HubSpot, Salesforce, AWS Bedrock, Supabase — and whatever the job actually needs.I write about AI infrastructure, GTM engineering, and what actually moves revenue. DMs open.

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