Jonathan M K.

VP of GTM Strategy & Marketing - Momentum | Founder GTM AI Academy & Cofounder AI Business Network | Business impact ​> Learning Tools | Proud Dad of Twins

I’m Jonathan, an AI and GTM strategist passionate about transforming how businesses harness AI for real impact. With over 15 years in Revenue Excellence, Enablement, and GTM Acceleration, I’ve successfully developed and implemented transformative enablement programs for global organizations, Fortune 500 companies, and startups. Recognized in SEC’s 2023 & 2024 Enablement Ones to Watch and honored as an Enablement Legend by Seismic and the Enablement Squad, I strive to stay ahead of industry trends.

4 Years ago I deep dove into AI after enabling an AI tech for an internal team and it's customers and in 2022, I founded the GTM AI Academy to bridge the gap between learning AI tools and creating tangible business outcomes. My mission is to provide AI-driven strategies that cover all functions of a Go-To-Market (GTM) team, helping professionals implement actionable use cases for their own companies. I also consult on AI integration and strategy for high-growth businesses, offering GTM insights that drive revenue growth and efficiency.

If you’re looking to leverage AI either for Yourself, Your team, or C-Suite and Board level advising, refine your GTM strategies, or accelerate business outcomes, feel free to connect. I’m always open to discussing the future of AI in business and how to make true impact.

Head of GTM Revenue Enablement & Product Marketing

- Develop and execute revenue enablement strategies to drive sales growth and enhance customer experience.
- Collaborate with cross-functional teams to align revenue goals, optimize processes, and identify market opportunities.
- Conduct market research and competitive analysis to stay ahead in the payment media industry.
- Implement and oversee enablement programs, including training, tools, and resources for our presales, CSM, BDR, partner, and sales team.
- Analyze sales performance data and provide insights to improve revenue generation and forecasting accuracy.
- Cultivate strong customer relationships and support our clients in adopting Simetrik's solutions effectively.
- Drive continuous improvement initiatives to enhance revenue processes and strategies.
-Manage the Product Marketing team creating internal and external facing assets such as videos, blogs, one pagers, white papers, case studies, success stories.

Every vendor promises autonomous AI for GTM. None of them can actually deliver it…. Yet. 

Here’s why and what you need to build instead.

The gap between AI hype and reality isn’t about model capability. It’s about architecture.

We go deep in this concept in the IGNITE book released just barely.

Most companies are trying to buy autonomous GTM from a single platform. 

That’s like expecting one tool to handle your entire tech stack. It won’t happen.

What actually works is a 5-layer architecture where each layer does what it’s built for:

Layer 1: Data Foundation
Your CDP, CRM, data lakehouse, and identity resolution create the ground truth. Without clean, unified data, everything built on top collapses. This is where 70% of AI projects fail, not because the AI is bad, but because the data is garbage.

Layer 2: Integration Layer
MCP (Model Context Protocol), APIs, and connectors let your systems talk to each other without building custom integrations for every combination. This is the “USB-C for AI” one protocol that connects everything.

Layer 3: Agent Layer
This is where specialized AI agents live. The Analyst pulls insights. The Strategist recommends next moves. The Content Agent generates variations. The Optimizer runs experiments. Each agent is narrow and verifiable, not trying to do everything.

Layer 4: Execution Layer
Ads, email, web personalization, campaign launches. This is where AI decisions turn into real actions. Current systems handle this autonomously for narrow tasks (bid optimization, send-time) but still need human approval for creative and strategy.

Layer 5: Human Oversight
Governance, strategy, brand stewardship, guardrails. Humans don’t disappear, they move up the stack. You own the creative direction, relationship decisions, and high-stakes judgment calls that AI can’t verify.

The reality check:
Gartner predicts 60% of brands will use agentic AI by 2028. They also predict 40% of agentic AI projects will be canceled by 2027.

The difference? 

Companies that win aren’t deploying the most AI. They’re architecting human-AI collaboration with clean data, proper governance, and realistic expectations about what AI can actually do autonomously today versus three years from now.

The people winning last year and this one are the ones planning for this future so when the tech is available they are ready. 

Are you?

This 2026 LinkedIn Bible is the roadmap to 1M+ followers. My man Chris Donnelly is letting me share, want in?

You can either view LinkedIn like a content creation chore, 
Or, like so many successful founders, as part of your business strategy. 

I decided to go all in on LinkedIn 2 years ago, 
And the results have been unbelievable. 

Literally 1000s of warm leads and an entire 8-fig business since then.

All because I built systems that turned LinkedIn into a primary revenue driver.

And now, I'm giving you my complete framework.

This is everything you need to transform LinkedIn into a lead gen machine.

Inside, you'll learn:

✅ The 4 highest-performing post types for lead generation
✅ How to set your 2026 "why" and align content to business outcomes
✅ How to identify your ICP and what content actually resonates with them
✅ The 30/30/30/10 engagement rule that builds genuine relationships at scale
✅ The deplatforming strategy that protects you from algorithm changes forever
✅ Lead magnet to email segmentation flows that move people towards your offer
✅ How to create a community feel in your comments that drives deeper connection
✅ Content repurposing systems for Instagram that multiply your reach with minimal effort

You don't need a content team or years of trial and error.

You need the right positioning, post strategy, and engagement system.

When you grab The 2026 LinkedIn Bible, 
You'll also receive an invite to Lead Generation Live.

It's a free 4-hour masterclass, 
With some of the most respected entrepreneurs in the world:

- Daniel Priestley (Entrepreneur and author of "Key Person of Influence")
- Nathan Barry (Founder of Kit)
- Sara Davies MBE (Founder of Crafter's Companion and Dragon's Den investor)
- Eric Partaker (CEO Coach of the Year with 1.1M LinkedIn followers)

We're covering exactly how to turn attention into actual business growth in 2026.

Want in? 
-Like this post
--Comment 2026 
And I will send you the link

They are limiting live attendance to 15,000 people, 
And hey expect this to go quickly due to the size of our guests' audiences. 

If you can, join us on January 15th from 12:30 pm to 5:00 pm GMT !

If you're ready to turn LinkedIn into a lead generation machine in 2026...

♻️ Repost to help your network make real progress on LinkedIn in 2026.

Day 3 of 4! More amazing peeps coming at you for the Momentum.io 2025 GTM AI/2026 Ones to Watch awards where we show off the dudes!

Again we sent out the nominations to our community and email list and had A TON of nominations, we widdled them down based on the quality and amount of nominations.

The awards are about those who are innovative, push boundaries, and are execution focused or are the doers. I am pleased to celebrate the first round of men.

Lokendra Khandelwal
Jose Zuma
Frank Nardi
Micael Oliveira of Amplemarket
Arnaud Belinga 🧊🔨
Shelton Banks
Oleg Tomenko
Navin Persaud
Glen Torregiani
Alex Kutsishin
Hussain Al-Shorafa
Toby Carrington
Doni Lerner
Jose Carlos Cortizo Perez
Fivos Aresti
Yanir Zamir
Mavon Tran
Dan Rosenthal
Eric Fisico
Mitch Osborne
Thanbir M.
🟠 Nick Thomas
Brandon Smith
Alex Sloan

Congrats and more tomorrow!

Jonathan M Kvarfordt, MBA

Day 2 of 4! The second half of the amazing ladies who won the 2025 GTM AI/2026 Ones to Watch awards!

We sent out our nomination list to our connections and email list, we received thousands of replies and went through to find the most impressive and most repeated people, yesterday we released this list: https://lnkd.in/euCghk9W

Today we have our second half! To win, people were featured because of their innovative Doer mentality, people who lead and also get shi! done.

We have:
Katie Nocerino (Hillman) 
Dione Hedgpeth
Tessa Whittaker
Patricia De Nardi
Megan Prince
Nina LaRouche
Rupa Boddu
Sabika Hassan
Dannii Mathers
Rupa Boddu
Julia Nimchinski
Brigette Sjoboen
Julia MacDonald
Alina Vandenberghe 🌶️
Ellie S.
Meeta Pandey, Ph.D
Gail Behun
Liza Adams
Azzy Maizer
Tahnee Perry
Prasangika Rai
🐰 Jen Igartua
Amanda Kahlow
Sally Weiss
Donna McCurley
Christa Brutus, PMP, MM, LSSGB, ASCP(C)
Ashley Blackwell-Guerra
Dannielle Sakher
Jessica Meyers

Congrats! Men incoming tomorrow!

Hey friends in #enablement... here is a fun one ;)

Day 4 of 4 and last list from Momentum.io and the 2025 GTM AI/2026 Ones to Watch awards.

We sent this out to our community of thousands of people, received hundreds of nominations and we widdled them down those who were either:
1-Nominated multiple times with quality reasons why
2-Impressive and impactful stories

This is the list of innovative doers, the ones who execute and have vision, the balance between AI and human hard work.

Happy to celebrate the last but not least:
Umer Maqsood
Justin Parnell
Shawn Jahromi, MBA
John-Henry Scherck
Yogesh Kochhar
Brian Dietmeyer
Andrew Mezheritskiy, MBA
Andrew Cooper
Julian Teixeira
Rahul Jaglan 🧑🏽‍🚀
Alex Lindahl
Kumail Mukadam
Kevin Chu
Laurence Judah
Mike Y.
Seth Stover
Arjun Ganatra
Kyle Norton
Jacco van der Kooij
Jonathan Moss
Mark Turner
Collin Rhea
Daniel Clune
Ben Perceval
Connor Schaars
Patrick Kalie
Nathan Follen
Logan Atkinson-Wall
Omri Sela
Usher (Arshia) Razavi
Adarsh S Lathika
Mark Roberge
brendan short
Elio Narciso
Evan Morgan
Akash Bose
Oran Akron
Jordan Crawford

Well deserve list of amazing peeps who we deeply admire and respect!

Giving away more goodies on the GTM AI Podcast, want it? Comment below.

Most GTM teams are drowning in research and prep work. The top 5%? They automated all of it and closed 3x more deals.

I just sat down with Dannielle Sakher (VP of GTM at MindStudio) who walked me through the exact AI agents she uses to close enterprise level partnerships.

Not theory. Not "use cases." Actual workflows running behind the scenes at one of the fastest-moving AI platforms right now.

What she showed me:
→ LinkedIn outreach that's personalized at scale (200+ quality requests per week vs. the typical 50) 
→ Pitch optimization that pulls live prospect research in real-time 
→ Meeting prep that collapses 3 hours of work into 2 minutes 
→ Contract review that flags every high-risk term without legal bottlenecks 
→ Launch teasers that make partnerships feel real before they exist

Here's what hit me hardest: Dannielle is automating the high-value stuff that made her successful in the first place.

The secret sauce activities most people stop doing when they get promoted because there's "no time." AND she puts in her own flavor and genius to take it to the next level.

Personalized research. Deep prep. Creative pitch assets. She built agents to do them at scale.

The result? More pipeline. Higher close rates. Zero sacrifice on quality.

Want the AI Agents she shows me for free?
-Like this post
--Comment, "MINDSTUDIO" and I will send you the newsletter and 5 AI agents she shows off and the podcast video walk through
---Repost cuz your Mamma said to help peeps like me

You can have these up and running and use them within 15 min, lets get er done!

So I partnered with HSE and we created THE 2026 Trends report, want it?

As of today, AI methodology revolves around defining the stages of its market entry, changes in value propositions, and the construction of a completely new architecture.

In 2026, AI capabilities are set to advance faster than the methodologies designed to govern them, creating a widening gap between technological potential and effective use.

I’m excited to share my perspective and partner with Julia Nimchinski and Hard Skill Exchange with Momentum.io on the report, “2026: In Pursuit of AI Methodology”, focused on the trends and predictions shaping AI-native GTM.

The report brings together 80+ contributors – CXOs, VCs, founders, and analysts – examining how AI is moving from experimentation to operating models.

The analysis reflects what is actually working as AI transitions from isolated pilots to embedded GTM systems.

Fourteen trends emerged:
-AI becomes a managed role (3.41%)
--Narrative + intent as the control plane (3.41%)
---Enablement as the agentic operating layer (7.95%)
----Systems of action replace systems of record (5.68%)
-----Orchestration re-centralizes control (5.68%)
------Operating models shift to live loops (10.23%)
-------Personalization moves from rules to reasoning (3.41%)
------Incumbents split: embed AI vs. rebuild (11.36%)
-----Buyer-side AI + AEO as a core discipline (11.36%)
----Trust, proof, and human connection increase in value (7.95%)
---ROI discipline tightens (11.36%)
--Generalists outperform narrow specialists (5.68%)
-Governance and data readiness become scaling gates (9.11%)
AI enters through high-friction insertion points (3.41%)

Want access for free?
-Like this post
--Comment "HSE"
---Repost cuz its fun

And I will send you the link to get the report FOR FREE.

Huge thank you to Julia Nimchinski for being an amazing partner last year and this one, this report is kick a!!

I stopped building workflows in Zapier and N8N.

Now I just describe what I want done. 🤯

This week on the GTM AI Podcast, my man Jonathan Moss aka JMo walked through a 5-Part AI Framework that's saving him 15+ hours a week.

Here's what he covers:

→ How to replace complex automation tools with simple prompts
→ The framework structure that gets consistent results
→ Real examples of workflows that used to take hours... now done in minutes
→ Why "knowing what's possible" is now the only skill that matters

And we're also giving you access to the NotebookLM guide that goes even deeper - it's a resource on how to actually use these tools for unique applications.

I'm genuinely proud of this one. It's practical, and you can start using it today.

Want the podcast link + the guide?
-Like this post
--Comment "JMo" below and I'll send you the goods.

Or get it here: https://lnkd.in/e_KVqn-h

Thank you as always!

View newsletter: GTM AI Podcast & Newsletter

Welcome as per usual to our weekly Podcast and newsletter! This week our own Jonathan Moss goes through a 5 part AI Framework using several easy to us

Open article: 1/16/26: The 5-Part AI Framework That Saves GTM Teams 15+ Hours Weekly by Jonathan M Kvarfordt, MBA • 6 min read

1/16/26: The 5-Part AI Framework That Saves GTM Teams 15+ Hours Weekly

Helping revenue leaders turn sales training into seller learning.

When I first started coaching B2B enterprise sellers,
I’d never actually closed an enterprise deal.
I felt like a fraud.

I was Head of Global Sales Enablement at a billion-dollar tech unicorn.
Our win rate on $70K+ deals was stuck at 17%.
The SVP of Revenue brought me in because his sales leaders “didn’t have time” to coach.

I had loads of experience with SMB and mid-market sellers.
But enterprise? Not so much.

⸻

So I outworked my self-doubt
→ Watched 500+ hours of Gong calls
→ Studied win/loss patterns and buyer conversations
→ Built a 3-month certification on product knowledge, call scripts, and MEDDICC

The team loved it.
But our buyers didn’t.

That 17% win rate?
It didn’t budge.


That’s when it hit me
Enterprise sales isn’t just scaled-up Mid-Market.
It’s a completely different beast.

I’d been coaching sellers on what to say during calls.
But larger, more complex deals hinge on what buyers do between them.


So I shifted my focus
→ Studied consulting practices at Bain, Deloitte, and BCG
→ Learned financial modeling
→ Reverse-engineered business cases from our closed-won deals

Then I coached sellers on how to write strategic narratives, 
and gave leaders the tools to reinforce them.


That’s when everything changed
We qualified fewer opportunities… but deals moved faster.
Win rates climbed.
Contract value jumped by 15%.


Now I help B2B software sales leaders:
→ Pinpoint exactly where deals stall using AI and their actual CRM data
→ Train reps to create deal-specific business cases (not generic pitches)
→ Measure rep performance beyond just pipeline metrics and win rates


Client results:
→ Veriff → +12% win rate in 6 months
→ Qminder → 26% shorter sales cycles
→ Airship → “We would have paid 3x for this type of work”

⸻

Bottom line:
Stop telling enterprise sellers what to do.
Start showing them how to think.

If your deals are stalling and your 1:1s feel like status updates, send me a DM.

taplio

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The Battle

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👨‍🔬 Lawrence Wayne O'Connor

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Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Jonathan M K.'s LinkedIn Performance

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