Designing AI-Native GTM Engines

Hosted by Elena Luneva

214 students

What you'll learn

Design AI-Native GTM Systems

Learn how to architect go-to-market engines that adapt, learn, and scale through AI-driven feedback loops.

Connect Build, Market & Monetize

Bridge product development, growth, and revenue models into one integrated AI-powered operating system.

Automate Signal-to-Action Loops

Use AI to detect leading indicators, personalize GTM execution, and accelerate decision cycles.

Scale Learning Across Teams

Create shared intelligence systems where insights from customers, sales, and product fuel continuous growth.

Lead Future Conversations

Receive ongoing discussions on GTM and AI via a complimentary subscription to Elena's Letters

Why this topic matters

Most GTM playbooks were built for static funnels. AI-native companies win by designing systems that learn faster than competitors. Product, marketing, and sales share data, adapt messages, and refine targeting in real-time. This lesson shows how to design a self-optimizing GTM engine that compounds learning and growth.

You'll learn from

Elena Luneva

CPO, Advisor, Executive Coach, 4000+ students taught

Former:

CPO / GM Braintrust

GM Nextdoor

CPO Nuna

VP Product, LiquidSpace

Sr. PM OpenTable

Sr. PM BlackRock

Taught thousands of executives through courses, executive coaching, corporate training, and at Reforge, FirstRound, Berkeley, Sidebar, Enrich, Supra, AI Collective, Industry, PLS

Previously at