Hands-On Technical Fluency for Notion GTM Teams
James Gray
Hold your own with any technical buyer
Work a real discovery, design the solution, build it, and defend it
You don't lack AI exposure. What's missing is a working model of how your customers build software — and that model is being rewritten as coding agents compress implementation from weeks to hours. What a PRD is for, who writes the code, where a human still decides — all of it is moving.
That's the conversation you're walking into. You prepare by doing: three days on one customer scenario — Acme Robotics, whose product context is scattered across Docs, Jira, GitHub, Slack, and Gong.
Ground yourself in the language. The AI, product, and engineering terms you need, used in context.
Turn discovery into a credible solution. Work a customer's problems, outcomes, and constraints into an architecture you can draw in front of a CTO.
Prototype software the way product and engineering do now. Take a customer signal to a PRD, then to working code an AI coding agent commits to GitHub.
Build AI-powered workflows. With Notion as the shared operating layer, integrated to the tools EPD teams live in.
Present and defend it to a technical buyer. You leave with the workflow you built, and a method you can run in any account.
What you’ll learn
Become the seller who builds what they sell — fluent in the lifecycle, credible on architecture, steady under technical questioning.
The lifecycle end-to-end: vision doc, PRD, backlog, sprint, branch, pull request, environment, release.
How it changes when coding agents compress implementation from weeks to hours — and where it still breaks down.
The tools an engineering organization runs on, classified by the capability each one fills.
APIs, authentication (OAuth, SSO), and the security and privacy language enterprise deals turn on.
AI-native terms — LLMs, context, RAG, agents, evals — used correctly and in context.
Read a Jira board and a GitHub repository well enough to follow what a team is working on.
Plan a question set against the six things a discovery must surface, then work a real one and name what is still missing.
Answer the five questions a buyer asks of an architecture: what is authoritative, where context lives, and where the human gates are.
Define what Notion should own and where it complements systems of record — Jira and GitHub here, Salesforce in your own accounts.
A triage agent that monitors sources on a schedule, summarizes and classifies signal, and flags what is missing or sensitive.
A human review you work alongside the agent, and a PRD agent that drafts the spec once you approve the signal.
An AI coding agent that builds from the PRD, breaks it into milestones, and commits to a connected GitHub repository.
Quantify the cost of the status quo and translate the value into each stakeholder's terms.
Answer the objections CIOs, CTOs, and product leaders raise about architecture, governance, and value — without overclaiming.
Sequence what you heard in discovery, the architecture, a live workflow run, and the business case into one presentation.
Defend it under questioning, the way a prospect evaluating Notion would push on it.
Leave with a repeatable method — signal, discovery, architecture, build, review — to run in your own accounts.
Learn directly from James
James Gray
UC Berkeley AI Instructor | Former CIO/CPO | Trained 5,000+ Leaders
Who this course is for
Account executives selling into technical buying committees, who need to hold their own when the CIO or CTO joins the call.
Solutions and sales engineers who demo Notion today and want to design and build the workflow, not just show what it does.
GTM leaders and managers who coach these conversations and need the same fluency to pressure-test their team's solutions.
What's included
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
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