Ghazi Masood, CRO at Replit, joins Kyle Norton to break down how Replit went from $2 million to over $150 million in revenue in less than a year, is tracking to a billion-dollar run rate by the end of 2026, and is hiring 200+ people over the next 12 months while rebuilding GTM from scratch in the AI era. Topics include the AI-native GTM tech stack (Salesforce as system of record, internally vibe-coded apps for revenue copilot, customer health, CPQ, and forecasting), why Replit is hiring non-traditional sellers like a former Marine and a schoolteacher into AE roles, the 80% hiring bar and 15-minute screen, why automated SDRs didn't work but inbound triage will be fully agentic by Q2, scrapping traditional CSMs in favor of customer advocates, the build vs buy heuristics for enterprise pipeline generation and system of record decisions, and why Salesforce hygiene as a sales motion is dead.

Key Takeaways:

- Replit's GTM playbook is being written for the first time at hypergrowth scale, which forces a different bar on every hire. As Ghazi Masood, CRO at Replit, put it: "everything we're doing for the very first time, you know, rolling out territories, very first time, rolling out comp plans, very first time, rolling out forecasting cadence, very first time, rolling out, you know, the post-sales motion. So there's a lot of firsts happening in this business because the business has grown so fast, so quickly."

- Non-traditional sellers can outperform pedigreed Oracle and Salesforce reps when the product is technical and mission-pull is strong. Ghazi Masood, CRO at Replit, on the team he's building: "when I got here, our number one seller in the company, and the person was already here, was, came from the military, was in the US Marine Corps, never sold a day in his life. Absolutely killed it… one of our top commercial sellers for our downmarket business, Kyle, who's still here in that role, was a schoolteacher, never sold, doing exceptionally well."

- Hiring at hypergrowth speed requires explicitly lowering the bar from 100% to 80% and trusting enablement to close the gap. Ghazi Masood, CRO at Replit, on the calibration: "given how fast I have to go hire, I make this call right in the beginning, is we want an 80% bar. So we're we are not striving for 100%… if it's 80% and we think somebody can kind of meet that 80% bar and we know that with the right level of enablement, we can kind of get them that last 20%, get them to 100%, we're actually optimizing and pulling the trigger on that person."

- Salesforce-hygiene-as-a-sales-motion is over. Ghazi Masood, CRO at Replit, on the shift: "the salesperson's job is changing, right? Like the amount of research and information gathering. I mean, that's all automated. So I think they can now spend their time in front of customers where they should be. Versus doing the back office crap. You know, the teams we've managed in our previous lives, like Salesforce hygiene and people spending more than half their week updating Salesforce. And I mean, those days are, those days are gone."

Connect with the Hosts & Guests:

Host: Kyle Norton, CRO at Owner.com - https://www.linkedin.com/in/kylecnorton/

Guest: Ghazi Masood, CRO at Replit - https://www.linkedin.com/in/ghazi-masood-09195a2/

The Revenue Leadership Podcast is more than a Podcast:

Subscribe to The Revenue Leadership Podcast Newsletter: https://www.therevenueleadershippodcast.com/

Subscribe to Topline Newsletter: https://toplinemedia.substack.com/

Subscribe to the YouTube channel: https://www.youtube.com/@kyle-norton

Chapters:

00:00 Introducing Ghazi Masood

03:20 Low-Code Is Dead, AI Is the Pivot

05:57 Vibe Coding Your Own CRO Decks

07:58 Replit's AI GTM Stack

12:59 Replit Agent and Personal Apps

16:55 Life as a Hypergrowth CRO

19:52 Hiring Beyond the Top 1% Pedigree

22:24 Marines and Schoolteachers Selling

25:33 No CSMs, Just Customer Advocates

30:20 Sponsor: Momentum

31:00 What Breaks at Hypergrowth

32:51 Build vs Buy in the AI Era

41:05 Hiring System and the 80% Bar

52:16 Future of GTM and AI GTM Engineer

59:38 Quickfire: Scale Down or Get Cut

Cassie Young, General Partner at Primary Venture Partners, joins Kyle Norton to break down exactly how CROs must master P&L management to survive the new AI-driven go-to-market reality.

As the era of software bloat ends, revenue leaders must adapt their GTM strategy to maintain investor trust and drive capital-efficient growth. This episode details the financial metrics, board expectations, and AI workflow integrations required to build a high-performing enterprise sales motion.

Key takeaways:

-The GTM bloat era is over... companies have to invest in inference and compute so we don't have the luxury of traditional software margins.

-Use the PRIME framework to justify any new go-to-market tool... Productivity, Retention, Investment efficiency, Momentum, and Expense reduction.

-You cannot sell interoperability effectively if you do not fundamentally understand how AI tools and models work natively.

Other Cool Stuff:

🎧 Tune into Topline Podcast (our other show!), the #1 podcast for founders, operators, and investors in B2B tech:

https://www.joinpavilion.com/topline-podcast

📩 Subscribe to Topline Newsletter:

https://toplinemedia.substack.com/

🤝 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 Episode Overview

01:05 Cassie Young Career Background

03:20 The GTM Bloat Era Ends

08:32 The Rise of the Orchestrator

12:16 Jevons Paradox in Revenue Teams

15:52 Evaluating Early Burn Multiples

18:08 Point Solution Market Risks

25:28 New Rules for Software Pricing

29:59 The PRIME Investment Framework

34:56 Why AI Initiatives Fail

43:09 Aligning Strategy With Your CFO

44:54 Executives Must Use AI Daily

50:08 How Boards Measure CROs Now

1:00:02 Core Four Executive Attributes

1:11:01 Career Advice for New Leaders

Adrian Rosenkranz, CRO at Webflow, joins Kyle Norton to break down exactly how to rebuild your GTM motion for AI bot traffic and scale internal AI agents.

As AI bots reshape enterprise pipeline generation, revenue teams must master AEO (Agentic Engine Optimization) and GEO (Generative Engine Optimization) to capture high-intent search traffic. Adrian shares how to optimize your technical SEO for agent crawls, collapse legacy RevOps silos, and build custom internal AI workflows that drive real sales outcomes.

A lil' sneak peek into some key topics we discuss:

• Optimize for AEO and GEO: AI bot crawls now make up nearly 20% of Webflow's site traffic. Companies must provide markdown-friendly metadata to control their brand narrative inside LLMs and secure citations over standard referrals.

• Pioneer Go-To-Market Engineering: Fragmented operations teams create workflow bottlenecks. Merging Sales, Marketing, and Post-Sales Ops into a single go-to-market engineering (GTME) unit is required to deploy effective cross-functional AI systems.

• Deploy Agents with Claude Code: Stop using AI just to write faster emails. Centralize your AI development to build autonomous workflows—like using Claude Code and MCP to draft hyper-personalized customer emails based on live Slack and Salesforce context.

• Build Dynamic Knowledge Bases: Static documentation is dead. Feed call data into AI to automate your Ideal Customer Profile (ICP) and "...run this every week... and you can see the drift from the previous one" to continuously fuel outbound scripts.

🎧 Tune into Topline Podcast (our other show!), the #1 podcast for founders, operators, and investors in B2B tech:

https://www.joinpavilion.com/topline-podcast

📩 Subscribe to Topline Newsletter:

https://toplinemedia.substack.com/

🤝 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 Intro and AI bot traffic surge

05:12 AI citations vs website referrals

08:28 Optimizing websites for AEO & GEO

13:14 Controlling brand narratives in LLMs

15:05 Enable sales for rapid product updates

23:22 Escaping the AI efficiency trap

29:01 Why you must collapse your RevOps team

35:43 Building custom AI email agents

48:35 Automating dynamic ICP documentation

54:06 Generating outbound scripts with AI

57:58 Framework for build versus buy in AI

1:02:16 Avoid locking AI in black boxes

1:07:28 What separates elite CROs