Amazon

Canva

Esade

Dentsu

Harvard Business Review

Built by ex-Amazon: ML PM & an ex-VP | Lenny Featured Lightning Lesson

Cohort 1

pm-moat-cohort-1

workshop-1

Cohort 2

Cohort 3

Product managers who drive strategy, development, and launch of products.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Using AI tools like Cursor, Replit, and Lovable to build and ship functional software without a traditional engineering background.

PMs and engineers are merging into builders. Vibe coding only gets you halfway.

ex-Amazon Sr. PM (ML), 3x Founder

Gayathri Keerthana (GK)

AI Consultant, ex-Amazon Sr PM (ML), 3x Founder

The Product Builder Certification: From Vibe Coding to Spec Engineering

Staff TPM 

Senior Manager

Product Manager & Technical Project Manager

Senior Innovation Discovery Product Manager

Engineering

Product Manager

Using AI coding assistants and tools to write, review, and ship code faster.

Raise the bar for your AI PM workflows. Live on Claude Code.

ex-Amazon Sr. PM, running 3 ventures

Product & AI Consultant, ex-Amazon Sr PM (ML), running 3 ventures

Co-Founder, Level Up; $1B+ P&L; led 40+

Jason P. Yoong

Co-Founder & COO at Level Up (fmr Amazon, VP at Dentsu, Startup - $8M seed)

AI PM Certification: From Specs & Workflows to Leadership Sign-off

Enterprise Architect 

Senior product manager

Senior Product Manager (AI)

From IC to Starting Up on My Own - Lessons & Live Q&A

Build your Own AI Chief of Staff

From customer sense to building solo with AI

Developing Customer Sense as an AI-native PM or a Builder

GK (Gayathri Keerthana)

Raise Your Vibe-Coding Bar: From Vague Prompts to Specs

Vibe-coding the Agent Owner Spec: 
for AI-native PMs

Built for anyone juggling too many things at once

Ways to use it

Get scheduled wrap-ups and morning briefs

The plain-file system I use to run all my projects, work and personal, in one place. Free, runs in any LLM.

Super IC running multiple ventures | Ex-Amazon PM | Esade MBA

GK's Executive Assistant - One Plugin to declutter your projects across work, life & side hustles

What you'll learn

This lesson drew 15700 signups & was the top ranked Lenny featured one on Maven's AI-native PM series in 2026.

Founder running 3 AI-enabled businesses simultaneously | ex-Amazon Sr PM (ML)

Taught thousands of students from high growth startups to Fortune 500s

Jason

Lightning Lesson: Raise Your Technical Bar as an AI-Native PM

This is a Lenny-featured Lightning Lesson that was top ranked in 2026 and drew 15.7K+ product professionals

Raise Your Technical Bar as an AI-Native PM (15.7K Signups)

Enable your teams to use Agentic AI effectively and collaborate better

Some examples of what I teach

Why choose me

What your team walks away with

Live coaching that gets your whole team building with AI one way: specs first, evals before sign-off, on your real work.

ex-Amazon Sr PM, 3x Founder

Coaching for Teams on Agentic AI, Collaboration & Customer Sense

Typeform

Chargebee

{EARLY BIRD OFFER: <a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/level-up-with-ai/product-builder-certification-spec-engineering-beyond-vibe-coding?promoCode=EARLYBIRD">Sign up for $320</a>} "Vibe-coding goes only so far" is the new reality of building with AI. 15,000+ professionals came for my Lenny-featured Lightning Lesson where I showed a primer to fix this.There's a new role forming in every team - Product Builder - someone who can ship in short sprints with the customer at the center.The real question is how to engineer a build that holds past mid-build, without wasting millions of tokens on vague vibe-coding.Spec Engineering fixes this. Anthropic has been publishing on this but hardly anybody talks about it or shows how it will look like in your world.In this workshop, I'll show you how to do a spec-driven build on a real problem:🧩 Plan: Working Backwards into a spec the harness can build from.🤖 Build: lock "done" as a Bar Raiser commit, build one feature at a time with handoffs that survive context resets.🔍 Evaluate: a sperate agent that catches what self-grading misses, calibrated to your quality bar🔁 Strip: remove scaffolding as the model improves💼 Package these into a re-usable and scalable spec kit for future builds.Walk away with a mental model to build harnesses from first principles that I've used at Amazon scale.

Walk out as a Product Builder, closing the loop from customer problem to structured agentic build.

Become a Product Builder who can methodically build and scale in real world

Start from a vague idea and finish at a build that you understand

Leave with a spec kit your harness can build from

Encode Bar Raiser evals that are grounded in your customer and business context

Debug AI builds surgically and create a strip routine to remove staleness

Move from vibe coding to spec engineering

Claude Code, Cursor or equivalent installed 

Bring an idea for an internal tool you'd actually use (e.g., a custom builder pulling from your own data sources)

A small tool or app you want to build

You don't need to know to read code. Your customer sense and logical reasoning matter more. 

No prior coding experience needed

PMs who are becoming builders, coding fluency doesn't matter

Engineers who want to wear the PM hat, build customer centered products

Vibe-coders who want to build products that don't crumble mid-build and make the token burn worth it

Zoho

IPG Mediabrands

Techstars

Most PMs are wondering "how to stay relevant in the AI-PM race."This is what we learned from over 15,000 product professionals who signed up for our <a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/p/b062b8/raise-your-technical-bar-as-an-ai-native-pm">Lightning Lesson.</a>The real question for 2026 is how to go beyond PRDs and get closer to your leadership and engg teams.The answer is not prompt hacks or Claude tips, because they're not strategic enough to make your work look any different from the next PM's.In this 3.5hr workshop, we teach how to produce AI PM artifacts using first principles:🔁 Working Backwards from customer problem to a product spec that engineering can directly build from. Then encode it into your CLAUDE.md so that your AI is context aware every session.🔍 Deep dive orchestrators that navigate fuzzy data and find real root causes. You save the day and present it right.📐Bar Raiser workflows that raise the quality of every AI output, from product specs to QBRs.🎯Agents that use the "8-persuasion factors", before any leadership review.We have seen these principles help scale startups and billion dollar orgs. We see what AI-enabled products are missing today.We will show you how to encode them in artifacts and agents using Claude Code.

Raise your bar as an AI-native product leader

Close the gap between product and engg

Become the Bar Raiser PM that defies AI slop

 You stop re-explaining context to your AI. Control token burn and hallucination

Finding the real root-cause and making it visible

LLM concepts underneath each framework

Every session runs inside Claude. Install Claude Code or Cursor before Session 1. A paid plan (Claude Pro/Max or Cursor Pro) is required.

Claude Code or Cursor installed on your computer

You'll build artifacts from your own context. Leadership reviews, problem scenarios, specs, planning docs, or a Notion/Drive export.



Example product docs, problems, and data you can work with

<pre><code class="language-markdown">Product People - anybody who wears the Product hat (not just PMs), want to raise their technical and quality bar. </code></pre>

<pre><code class="language-markdown">3–10 years in product or engineering; at least 2 years shipping features for a real customer base</code></pre>

<pre><code class="language-markdown">Mid-size, scale-up, or enterprise with an active AI product roadmap</code></pre>

GK will help you become a Bar Raiser AI PM

GK

Workshops