GTM Engineering for GTM Leaders

New
·

6 - 7 Days

·

Cohort-based Course

Why, What, and How of GTM Engineering Proven playbooks, complete hiring kit & exclusive peer circle of GTM leaders building GTME teams

Previously at

Google
HubSpot
Spotify
Coca-Cola
L'Oréal

Course overview

A Practical Path to GTM Engineering

Does this sound familiar?

Your team spends hours on CRM cleanup and manual research while outreach and routing lag. You know a GTM Engineer could fix the bottlenecks, but questions remain ‒

🤔 "What exactly should a GTME do at my company?"

🤔 "Where do I find these unicorn hires?"

🤔 "How do I build systems without a technical background?"



You've tried to figure it out yourself.

Reading job postings from Notion and Ramp, stalking GTMEs on LinkedIn, attempting to retrofit your RevOps team. But every "GTM Engineer" seems different, and you're unsure if you're hiring a data analyst, an automation specialist, or a growth hacker.



The clock is ticking

While you deliberate, companies with GTM Engineering teams are automating 80% of SDR work, running 50+ experiments monthly, and closing deals you don't even know exist. The gap between manual ops and automated revenue engines is widening every day.



Now imagine if you could

Hire Your First GTME in 30 Days

Know exactly what to look for, where to find them, and how to close top talent using our proven interview rubrics and comp frameworks.

Build Revenue Systems That Actually Ship

Launch your first 5 automated workflows within weeks—from AI-powered lead scoring to intelligent CRM enrichment—without writing any code.

Build Systematic Revenue Operations

Shift your ops team from reactive support to proactive revenue generation through documented workflows and measurable experiments.

Access a Private Network of GTM Leaders

Get real-time advice from peers who have already built successful GTME teams.

Become the Executive Who "Gets It"

Lead confidently in GTME discussions, from technical architecture, hiring criteria, and ROI measurement, to make informed decisions about your GTME function.



🏆 Why this course will give you an edge 🏆

Skip 18 months of trial-and-error with battle-tested playbooks from leaders who've hired 50+ GTMEs and built systems driving $100M+ in pipeline.

Who is this course for

01

RevOps Leader in Firefighting Mode – spending 80% time on data entry and ticket resolution instead of strategic initiatives

02

GTM Director Hiring GTMEs

waa nting structured hiring process with technical assessments and onboarding playbooks for GTM Engineers

03

CRO / VP Sales Owning Pipeline

Wants AI-powered activation (AI SDR, inbound), measured lift, and repeatable experiments

What you’ll get out of this course

Complete GTM Engineering Playbook

 📋 Proven frameworks for building GTME teams from zero to scale

🎯 Step-by-step roadmap from data foundation → enrichment → activation

GTM arbiterage discovery system to find and capture unique revenue plays

🔥 [Founders' Special] First 25 leaders get ongoing playbook updates

Battle-Tested Hiring & Team Building Toolkit

💪 Job descriptions, scorecards & interview loops from 50+ successful GTME hires

📄 Role scorecards, interview banks, and take-home briefs with rubrics

📊 Technical assessment templates to identify 1% talent

🧭 RACI across RevOps/Growth/CX built for scale

Revenue Systems That Ship Week One

🚀 Production-ready automation workflows you can deploy immediately

💰 AI SDR setup generating 80-100 meetings/month

📈 Intelligent inbound routing, signal digests, and CRM enrichment automation

🏗️ Experimentation templates to ship 50+ tests monthly, not yearly

Executive Peer Circle & Direct Support

 🤝 Private Slack with GTM leaders from Series B to public companies

💡 Live implementation labs where we build workflows together (not just theory)

📧 Direct access to GTME experts who've built GTME teams at scale

🏅 Certification signaling org-level GTM Engineering readiness

What’s included

Live sessions

Learn directly from Jack Brown & Kish – The AI Guy in a real-time, interactive format.

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.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

Week 1

Sep 18—Sep 21

    Sep

    18

    Week 1

    Thu 9/185:00 PM—6:00 PM (UTC)

    Sep

    18

    Optional: Office Hours

    Thu 9/186:00 PM—7:00 PM (UTC)
    Optional

Week 2

Sep 22—Sep 24

    Sep

    23

    Week 2

    Tue 9/235:00 PM—6:00 PM (UTC)

    Sep

    23

    Optional: Office Hours

    Tue 9/236:00 PM—7:00 PM (UTC)
    Optional

Meet your instructors

Jack Brown

Jack Brown

Ex-Amazon Alexa, Featured in Venturebeat, MIT Press

Drawing on 15+ years of experience at companies like Amazon and Facebook, as well as strategic consulting roles at McKinsey and BCG, Jack merges a deep technical background with a sharp understanding of marketing strategy.


Jack serves as the Chief AI Officer at 3Plus1.ai. He specializes in designing and implementing AI transformations tailored to the real-world needs of CROs and RevOps leaders.


Under his guidance, 100s of CMO have driven measurable success for overwhelmed marketers seeking streamlined workflows, forward-thinking brand strategists hungry for breakthrough campaign ideas, and marketing analysts determined to unlock deeper insights.


His mission is clear: equip marketing teams with advanced, user-friendly AI solutions that deliver tangible returns, whether it’s automating repetitive tasks, boosting creative output, or surfacing hidden opportunities in the data.


Jack & co have transformed 50+ GTM teams at

  • Amazon
  • Hubspot
  • Spotify
  • Atlassian
  • Stripe
  • AirBnB
  • Red Bull
  • Forever21
  • Coca-Cola
  • L'Oreal
  • PwC
  • Etihad Airways
  • Delta Airlines
  • United Airlines
  • GM
  • Ford


HubSpot
Coca-Cola
Airbnb
Spotify
Kish – The AI Guy

Kish – The AI Guy

GoogleAI, YouTube Recommendations

Kish is an AI Leader with more than a decade of experience as a founder, researcher, published author, and startup advisor. At PwC, Kish built and sold machine learning (ML) projects for Fortune 50 clients, including Coca-Cola, GM, and Delta Air Lines. His work on YouTube’s Music recommendation engine drives 1B+ views every year. Since 2018, Kish has been building foundational language models. In 2020, he launched a generative audio company serving enterprise customers. Kish has advised over 35 AI companies, from startups to $70B+ firms, excelling in AI strategy, foundational tech, product launches, and competitive positioning in a fast-changing AI landscape. Reviews from previous clients are available on Intro.co and LinkedIn.

Google
YouTube
Atlassian
Delta
A pattern of wavy dots

Join an upcoming cohort

GTM Engineering for GTM Leaders

Cohort 2

$999

Dates

Sep 18—24, 2025

Payment Deadline

Sep 17, 2025

Don't miss out! Enrollment closes in 8 days

Cohort 3

$999

Dates

Oct 10—17, 2025

Payment Deadline

Oct 9, 2025
Get reimbursed

Course schedule

2 sessions, 2 hours each

  • Fridays

    1:00pm - 3:00pm EST

    • We'll have two weekly 2-hour sessions on Fridays.


    • There will be two 1-hour office hour sessions for extra Q&A (optional to attend).


    • Between sessions, students are encouraged to reflect actively and experiment with recommended tools and workflows


A pattern of wavy dots

Join an upcoming cohort

GTM Engineering for GTM Leaders

Cohort 2

$999

Dates

Sep 18—24, 2025

Payment Deadline

Sep 17, 2025

Don't miss out! Enrollment closes in 8 days

Cohort 3

$999

Dates

Oct 10—17, 2025

Payment Deadline

Oct 9, 2025
Get reimbursed

$999

USD

8 days left to enroll