Jiri Kobelka

AI-Native PMs: Product-Market-Fit in 2026

Tatum

Quicknode

Avast

CEO of ClosedLoop AI (ex-CPO at QuickNode and Tatum)

AI removed the building bottleneck. The frameworks never adapted. See what changed and why most teams missed it.

Why 2015-era discovery frameworks silently broke

The best product teams reversed which customer signals they prioritize. You'll learn the new hierarchy and why it works.

The data hierarchy flip top teams quietly made

Counterintuitive patterns in customer conversations predict PMF earlier than NPS or surveys. Learn what to watch for.

Spot product-market fit signals most PMs miss

Walk away with the skills, the AI fluency, and the job search plan to break into product management in 5 weeks.

Cohort 3 May 2026

20+ YoE | 8+ Yrs Teaching | 5K Students 

Linktree

Kajabi

Expedia Group

Harvard University

Melbourne Business School

David Wang (Product Dave)

20 YoE PM | 8 Yrs Teaching | 5K Students | 300+ Success Stories | 

Cohort 23rd March 2026

Cohort 4 2027

This 5-week course is designed for Engineers, Designers, BA's, Analytics teams, Operations, and product-adjacent professionals who want to move into product without starting from zero.👉 This course teaches the PM Foundations first, then we'll use AI to execute.(This is a highly curated, 12-person course, not a 500-person class, where you get lost in the noise)What you'll learn:By the end, you won’t just say “I want to be a PM”.You'll walk away with a PM portfolio case study, reviewed by me, that shows how you think, how you make decisions, and how you turn messy problems into clear product work.You’ll work through the same artefacts product teams use in real companies: Customer Research, Market Dynamics, PRDs, North Star Metrics &amp; Product Roadmaps.You'll also build an AI Product You can use in your interviews.-What you'll get:<ul><li>Certification from Product Academy</li><li>5 x Weekly live workshops to build real skills</li><li>5 x 30 min 1:1 private coaching</li><li>Full Miro board of PM tools and frameworks</li><li>AI prompt library to speed up every step of PM work</li><li>Career Happiness Refund: If you're not happy, you'll get 100% refund anytime in your career.</li></ul>

Build the Product Thinking, AI fluency, and Product Proof to Land Your PM Role

Understand Where You are in Your PM Transition Path

Develop the Product Sense Companies Test for in PM Interviews

Make Product Trade-offs That Get Buy-In From Executives

Vibe Code a Real AI Product From Scratch in a Live Class

Land Your First (or Next) PM Role With a Networking Strategy

Product thinking needs real workplace judgement. This course promotes learning from each other's real-life experiences. 

Must be a Mid-Career Professional | 4+ Years of WORKING experience

We use real examples from tech companies and tech products; otherwise, you'll get lost in the concepts.

Must work in tech or tech-related products

Mid-Career Pros Hitting Career CeilingsPeople moving into PM who want practical product thinking &amp; real skills to show their ability

Unofficial PMs - Engineers, Designers, Program Managers, BAs, and SalesFolks who touches product work and wants to define WHAT to build

PMs who needs to stay relevant in the AI eraCurrent PMs who want to remove low-level work and use AI to operate with more impact.

Build a working AI system connected to your real PM tools - research, prototypes, evals, and automation in 4 weeks.

20 years in product. 200+ PMs coached.

Indeed

Bazaarvoice

Will Lowrey

 20 years in product leadership. Indeed, Bazaarvoice, startups. 200+ PMs coached

Founding Cohort

Cohort 2

Every PM has tried AI by now. Most stopped with chatbots.You've pasted in a PRD. Maybe you even ran a competitive analysis once. But none of it stuck. You don't have anything connected to your actual tools. It's better than before, but still clunky. The gap isn't knowledge. It's that nobody taught you how to build it - and the LinkedIn posts and tiktok videos are just one video after another of what could be. You've got to take it from reading/watching to DOING.Week 1: Run a competitive analysis in 20 minutes that used to take half a day. Build a reusable skill so the next one takes &lt;3 minutes.Week 2: Learn what evals are and why they're the skill that separates AI tinkering from AI building. Build a practice set that tells you whether any AI output is good enough to ship.Week 3: Wire Claude into your actual stack - Slack, Linear, GitHub, Google Docs. Build a clickable prototype from a PRD and test your skills on live data instead of copy-pasting.Week 4: Chain it all into a PM operating system that runs on a schedule.We start from zero. Pre-work covers the terminal, prompting, and your first skill before the first session.You don't leave with notes. You leave with a working system.

Build AI workflows connected to your real tools, tested on your real work.

Do PM research in 20 minutes that used to take half a day.

Learn to Eval AI output - not just doing a vibe-check

Connect Claude to your tools and build a working prototype

Build workflows that run on a schedule

Start from zero. No coding experience needed.

Learn by doing your actual job, not case studies.

If you believe that AI is a fad and is going away, this isn't for you. We are building for the future of product work.

This course is NOT FOR everyone

If you're in product, TPM, design, or engineering and want to bulid AI into your actual workflow, this is the right place.

This IS for Product and adjacent roles like TPM, Design, Engineering

You don't need to be perfect. You need to be willing to build, test, and iterate. That's the whole course.

Are You Ready To Try, Fail, Learn, and then Try Again?

The PM who tried AI and hit a wall. You've used some of the chats, but nothing has stuck. You need a system, not another prompt trick.

Senior PM drowning in recurring work. Same competitive updates, same briefs, same summaries every week. You need those hours back!

The Team Lead who wants to model what's next. Your team is watching. Master AI workflows yourself first, then bring the approach to your org

Learn how to use AI super powers to accelerate customer discovery, validate solutions, and make better product decisions.

Cohort 4

Product Innovation & AI Trainer

Capital One

Cisco

Wesco

Google

Valerio Zanini

Product Management and Innovation trainer. Author, "AI for Product Managers".

Cohort 3

Morning sessions in the US, evening session abroad

Cohort 5

Using AI in product management is not just about getting better at ChatGPT. It's about leveraging AI across the product development life cycle (PDLC) to accelerate, expand, and simplify what's possible, with AI super powers.In 2.5 weeks, you’ll learn - by doing - how to:<ul><li>Understand how AI works, when to use it, and possible risks for PMs</li><li>Use AI for customer and market discovery including synthetic users and interview synthesis</li><li>Use vibe-coding to build prototypes and MVPs of features or entire products (Lovable, Replit, Claude Design, Figma Make, Claude Code)</li><li>Automate your PM workflow with AI Agents and multi-agent orchestration (including Agents, Skills, Claude Cowork)</li><li>How to build AI products and define strategy VS execution</li><li>Use Evals to monitor the performance of AI products and ensure quality of the outputs.</li></ul>This is a hands-on, instructor-led cohort for PMs who make real product decisions.Duration: 2.5 weeks (short, intensive, focused)Format: Instructor-led cohort with 2 sessions per week (see schedule below) and video lessons for reviewBetween sessions: Hands-on assignments to build the practical experience###DISCOUNTS AVAILABLE: Paying out-of-pocket? Laid off? Email me for 50% OFF

Get AI super powers to grow in your PM job

Accelerate your Product Management job

Use AI to accelerate customer discovery

Leverage vibe-coding in the solution space and prototype quickly with AI

Build repeatable AI-augmented workflows you can reuse in real product work

Build AI-driven products and define strategic choices

Senior Product Managers and experienced Product Owners

PMs who want to move beyond “AI curiosity” to real, practical use of AI in product discovery and development, with hands-on practice.

PMs who want a deep-dive on how to use AI in product work to extend their PDLC.

Be the PM who ships fast and doesn't produce slop.

Staff PM @ Meta | Wharton | Builder

Electronic Arts

Scher Rafay

Staff PM @ Meta | Ship AI to 1.7B DAU | Wharton

August '26 Cohort

<blockquote>You wrote the spec four weeks ago. Your engineer "kind of" built it. Your skip-level wants a quick sync. It's now Tuesday and you're still six alignment meetings away from shipping.You've tried the obvious moves to use AI. But the work takes the same time. Becoming an AI-Native PM, and actually seeing the benefits, requires you to rethink the process.This workshop teaches the PM job differently:<ul><li>Write a PRD in 10 minutes, sometimes after you've already built the prototype</li><li>Synthesize 30 user interviews in an afternoon</li><li>Generate 20 UX variations of an idea, and pick one with conviction</li><li>Design evals without an ML team holding your hand</li><li>Simulate your exec team's objections before the review, not in the room</li><li>Build prototypes when writing a spec is slower than building</li><li>Avoid AI tells in your work so it reads as yours</li></ul>Generate fast with AI, judge well, ship work that's good. Speed is the upgrade. Taste is still your job.Bigger payoff: shorter days, agents handling what you hate, more time on the work that drew you to product management.I built this workflow at Meta and taught dozens of PM workshops internally. This isn't another "become an AI PM" course. This teaches you the job, better, with AI.</blockquote>

Move from spec-and-wait to ship-and-iterate, with AI doing the heavy lifting and your taste running the show. 

Diagnose where AI fits in your PM workflow, and where it doesn't

Write PRDs in 10 minutes (sometimes after the prototype)

Synthesize research and generate variations without losing a weekend

Simulate exec reviews and XFN pushback before the meeting, not in the room

Build your own prototype when writing a spec is slower than building

Ship AI work that reads as yours. Avoid the tells, keep the speed and your voice

PMs who feel slow watching indie builders ship with AI on weekends, and want to compress cycles without losing their taste.

<blockquote>PMs at startups whose teams are going AI-native, and need to model what good AI-native PM work looks like.</blockquote>

<blockquote>PMs who don't build themselves anymore, but need to spot the difference between good AI-native work and slop.</blockquote>

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Introduction and Waiting Period

Is AI Killing Product Management? Why Product Discovery Stopped Working

The Old Way: Building Products on Anecdotal Evidence

The New Bottom-Up Approach: How AI Flips the Product Discovery Process

The Four Key Areas for Comprehensive Product Understanding

The Evolution to PM 2.0: Automating the Product Workflow

Redefining the PM's Role: From Collector to Investigator and Decider

Tool Demo: Closed Loop AI for Automated Insight Collection

Three Surprising Patterns Revealed by Analyzing Customer Conversations

Conclusion: Why Building the Right Product Is the Only Differentiator Left

Closing Remarks and Q&A

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

Startup founders building new businesses, from MVP to scale.

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

Conducting user interviews, surveys, and usability studies to understand customer needs and validate decisions.

Identifying opportunities and validating what to build through customer research, experimentation, and prioritization.

Finding and validating product-market fit — identifying underserved markets, testing hypotheses, and iterating to fit.

AI-Native PMs: Product-Market-Fit in 2026

What you'll learn

Why this topic matters

You'll learn from

Jiri Kobelka