Topline
Topline

The Godfather of Modern GTM: This Is How To Measure AI Impact | Mark Roberge, Co-Founder @ Stage 2 Capital

28 June 2026 1:15:22 Pavilion

Listen to episode

About this episode

Mark Roberge, founding CRO at HubSpot and co-founder of Stage 2 Capital, joins Sam Jacobs and AJ Bruno to tackle the question every board is asking in 2026: how do you actually measure AI's impact on a go-to-market team? They get into the revenue velocity formula, why selling time is the one variable AI can realistically double, and the ICONIQ data showing AI lifts top-of-funnel conversion 11% while barely moving active deal cycles. Plus, a Quiz Pro Quo on Palantir's 137% rule of 40 and Twilio's $5.6 million ARR per employee, a debate on whether the AI-era winner is the first mover or the fast follower, and a bull-versus-bear on whether HubSpot is the most mispriced stock in software at $3.5 billion in ARR.

Key Takeaways:

- Of the four variables in the revenue velocity formula, selling time is the one AI can realistically double right now. As Mark Roberge put it: "best in class has historically been about 30%. And I see a lot of evidence that today's AI can push that to 60% plus… all you do is go from 30% to 60% selling time, just algebraically you double productivity." - Before measuring AI's impact, stop accepting vague claims that a team is "AI-enabled." Roberge said he got fed up hearing it in board meetings if they can't show measurable impact. - Set realistic expectations on what AI has actually delivered so far. Asked whether any company has jumped from tier B to tier A on AI adoption, Roberge was blunt: "Not on like a 2x, but on a 10% to 20%… I've been disappointed… it's not our portfolio, it's just the entire ecosystem." The step-change, he believes, is still ahead. - In the AI era, the copycat often beats the pioneer. "they all say fast follower wins most of the time," Roberge said of the research he could find, "it's about a third first mover, two-thirds fast follower." Faster product cycles and first movers stuck in what he calls "ACV jail" tilt the odds toward the fast follower.

Connect with the Hosts & Guests:

Host: Sam Jacobs, CEO at Pavilion - https://www.linkedin.com/in/samfjacobs/ Host: AJ Bruno, CEO at QuotaPath - https://www.linkedin.com/in/ajbruno3/ Guest: Mark Roberge, Co-Founder at Stage 2 Capital - https://www.linkedin.com/in/markroberge/

Topline is more than a YouTube Channel:

  • Subscribe to Topline Newsletter: https://toplinemedia.substack.com/
  • Subscribe to the Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech: https://www.joinpavilion.com/topline-podcast
  • Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast: https://www.joinpavilion.com/topline-slack

Chapters: 00:00 Introducing Mark Roberge 01:33 The Science Of Scaling Book 03:57 Vibe Coding Mark's Frameworks 05:42 NPS, Referrals, And Value 09:33 What Is Product Market Fit? 14:34 Measuring AI In Go-To-Market 19:25 The Revenue Velocity Formula 22:43 Selling Time Can Double Output 24:07 AI Use Cases That Move Metrics 32:56 Has AI Created Tier-A Yet? 42:35 How To Measure Selling Time 47:48 Quiz Pro Quo 54:05 First Mover Vs Fast Follower 1:08:42 Bulls And Bears

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Topline. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.