Anton Karpov
GTM Architect for AI-Products
AI ships features. Humans buy adoption. I do the translation.
Most teams I work with ship AI features that demo great and adopt terribly. The product works in the deck. The funnel doesn't. That gap is where I plug in.
14 years building demand engines across EdTech, B2B SaaS, DTC. Walked the full operator path, performance marketing, brand, growth, into Head of Marketing and CMO seats. Now mostly on AI-products, where the gap between what gets built and what gets adopted is widest.
The work is end-to-end GTM architecture. Positioning, funnel design, paid + organic engines, lifecycle, analytics, AI-augmented workflows. I run it as one system, not channel-by-channel. The deliverable, an engine that compounds, not a deck that sits.
Founder-led teams, Series A through C. AI-products and B2B SaaS mostly. Async-friendly, equity-aligned, no big-agency middlemen. If you're shipping AI features and the funnel isn't keeping up, this is where the work happens.
GTM strategy · Funnel architecture · Performance marketing
Brand positioning · Lifecycle & retention · AI-augmented workflows
B2B SaaS · DTC · EdTech · AI-Products · Healthcare/Wearables
English (working) · Russian (native) · Based in SEA · Async-first
Principles
1. Brand IS Performance.
I reject the false choice. The most profitable companies are the strongest brands. Built as one system.
2. Business First.
Metrics are the language. Revenue and profit are the goal. Focus stays on the P&L.
3. Systems over Silos.
I don't rent my time to manage channels. I build the engine.
4. AI is Capacity, Not Substitution.
Great AI stack 10x's a strong marketer. It doesn't replace one. Same logic on the customer side, AI features need humans who translate them into adoption.
5. Founder's Wavelength.
Best work happens with founders who obsess over product, bias toward action, and respect deep thinking.
Web version + PDF download