The Revenue Leadership Podcast with Kyle Norton

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

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

Kyle Norton, CRO at Owner.com, is interviewed by Everett Berry to break down exactly how to scale pipeline generation using applied AI and GTM engineering. Scaling an SMB sales motion requires ruthless efficiency and a modern outbound automation stack. This episode covers how to integrate applied AI into your GTM strategy to dramatically increase decision-maker connect rates, streamline pipeline generation, and execute high-volume cold calling campaigns. 🎧 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://www.joinpavilion.com/topline-newsletter 🤝 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 Key Takeaways: Automate pre-call research to maximize SDR output. By injecting AI-generated local name drops and personalized pain points directly into Salesloft, Kyle's reps can make 150 to 200 dials and connect with 20 to 30 decision makers daily - a 5x improvement from where they started. Run GTM engineering pilots in small batches. Seat your applied AI specialists directly next to frontline reps so they can accurately assess impact. Test specific interventions—like shifting call blocks to 5:00 PM—so you're only handing proven workflows for broader application across the team. Leverage executive personal branding for inbound recruiting. Publishing consistent, AI-assisted content on LinkedIn generates massive inbound applicant volume. In Kyle's case, this has completely eliminated the need for expensive external recruiting agencies. Keep sales managers focused on core competencies. Let your applied AI team build the tech while managers focus on hiring and coaching. Chapters: 00:00 Episode Intro 01:37 Scaling AI-Driven SMB Sales 03:43 The PICRIOS Cold Call Structure 06:25 Running GTM Engineering Experiments 08:38 Structuring an Applied AI Team 10:06 Automating Transactional SMB Sales 13:17 Future Go-to-Market Team Roles 15:39 Personal Branding for GTM Recruiting 18:52 AI Workflows for Content Creation 23:19 Finding Time to Learn AI Tools 26:38 Buying vs Building Data Stacks 28:33 Using Claude to Learn Tech Skills

Most revenue leaders see a missed number and immediately jump to a solution: more training, new SPIFFs, or pricing changes. Product leaders isolate variables and solve for root causes. Usha Iyer (Chief Customer & Growth Officer, President - US @ Hivebright) brings a developer's rigor, and a product leader's clarity to GTM. She explains why you should treat your GTM strategy like a product roadmap: test small, validate with data, and only scale what's proven to work. Highlights include: Input vs. Output: Why chasing results without fixing process inputs increases failure ratesThe SWAT Team Model: The safer way to scale processes Churn Forensics: How to use control groups to diagnose retention issues (hint: it's rarely just pricing). Friction Hunting: Stop selling the "happy path" and how to get at the truth. Plus a lot more. And thanks for tuning in! Catch new episodes every Wednesday. Subscribe to Topline Newsletter. Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech. Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast! Chapters: 00:00 Introduction: Usha Iyer's journey from engineering to revenue 03:52 Transitioning from product management to go-to-market leadership 07:34 The difference between winning in product versus sales 08:17 Identifying hidden customer friction points that data misses 12:19 How revenue leaders should communicate with product teams 13:36 Applying a product mindset to the sales process 15:56 Input-driven product development versus output-driven sales 21:48 Using data patterns and control sets to diagnose churn 34:46 Running hypothesis-driven experiments in GTM teams 37:39 Building data structures to track the customer journey 43:08 Experimenting with pricing and packaging strategies 46:02 Integrating onboarding directly into the product experience 52:00 Using SWAT teams to pilot new initiatives 56:16 Creating a culture of psychological safety for experimentation 01:01:05 Rapid fire questions and career advice

As EVP of Sales and CS at Insight Partners, Jeremey advises over 500 B2B SaaS companies. In this episode, he reveals why the top 10% of performers are actually expanding their outbound teams, not cutting them. And we cover a ton, including: The Outbound Paradox: Why winning companies are doubling down on SDRs while everyone else pulls back. Build vs. Buy: Why purchasing point solutions right now is a "risky business" (and the case for building your own). The Great Consolidation: How AEs are absorbing the SDR function and what it means for your org chart. The CRO Differentiator: The one trait that separates good revenue leaders from the truly great. Thanks for tuning in. Catch new episodes every Wednesday. Subscribe to Topline Newsletter. Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech. Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast! Chapters: 00:00 Introduction and Jeremey Donovan's Career Journey 03:59 AI Adoption: Disillusionment vs. Reality 06:28 Shifting From Bottom-Up to Top-Down AI Innovation 08:29 Navigating Governance and the "AI Czar" Role 13:58 Why Disciplined Execution Trumps AI Tactics 16:11 AI for Performance Reviews and Real-Time Feedback 21:45 The Rise of "Build" and Agentic Coding 27:33 Augmentation, Outbound Sales, and Human Effort 41:40 The Build vs. Buy Debate in RevTech 52:13 Realistic Expectations for AI Productivity Gains 59:13 The Future of SDR and Solutions Engineer Roles 01:03:12 Redesigning Processes and Unbundling Roles for AI 01:13:06 Preserving Critical Thinking in an AI World 01:19:05 Quick Fire: Leadership, Hiring, and Hard Lessons

Tyler Will (VP RevOps, Intercom) breaks down how Intercom overhauled its go-to-market engine after shifting to AI-first products. What we cover: - Why too many revenue leaders obsess over success metrics but ignore the inputs that actually drive them - The specific comp plan changes Intercom made when moving from seats to usage-based pricing... including giving reps MRR credit for overages without forcing awkward contract conversations - How post-sales motions fundamentally change when you're monetizing resolutions instead of seats - Tyler's four principles for comp plans that actually work Also discussed: When to do a real comp overhaul vs. minor tweaks, why RevOps teams are getting bigger before they get smaller, and using Claude Code to query Snowflake directly. Chapters: 00:00 Introduction and Guest Background 01:59 Shifting Focus From Success Metrics to Input Metrics 06:06 AI Literacy Required for Modern Revenue Leaders 09:24 Selecting Metrics Without Micromanaging Behavior 17:01 Intercom's Internal and GTM AI Transformation 20:01 Shifting to Resolution-Based Pricing Models 25:46 Evolving the CSM Role for Consumption 28:53 Adapting Compensation Plans for Usage-Based Revenue 33:52 Core Principles for Variable Compensation Design 44:37 Aligning Compensation Strategy With Product Roadmaps 52:00 Restructuring RevOps and Hiring GTM Engineers 56:44 Automating RevOps Tasks With Cloud Code 01:05:58 Impact of AI on SDR and Success Teams 01:09:10 Specific Internal AI Use Cases at Intercom 01:15:20 Quick Fire: Good vs. Great CROs and Advice

Hiring a VP or CRO has never been tougher (or more important). Asad Zaman, CEO of Sales Talent Agency - and one of the most trusted voices in GTM recruiting - joins host Kyle Norton to talk about how GTM leadership hiring is changing fast. They dig into: - Why AI broke the traditional interview process, and what they do now instead - How to build a robust hiring scorecard that performs miles better than a fluffy job description - The trade‑offs that actually kill VP hiring processes - How top CROs should evaluate future leaders (and spot "pre‑peak" talent) - The biggest blind spot CROs have when hiring VPs I mean... who isn't curious about the tested frameworks from the guy behind 1,000+ GTM placements a year? Thanks for tuning in. Catch new episodes every Wednesday. Subscribe to Topline Newsletter. Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech. Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast! Chapters: 00:34 Guest Introduction: Asad from STA (Sales Talent Agency) 02:30 Today's Topic: The Challenge of Leadership Hiring 04:14 How AI Has Changed Executive Hiring 07:53 The Rise of the AI-Native Leader 10:26 Market Polarization: Talent Demand and Layoffs 19:03 The New Definition of a Great Leader 24:22 Building an Effective Leadership Hiring Scorecard 29:15 Defining Problems, Jobs to Be Done, and Constraints 35:11 Compensation Psychology and Negotiation Pitfalls 40:34 Mapping the Market and Operationalizing the Scorecard 49:27 Modern Interview Design for Senior Roles 53:12 Teaching as a Core Leadership Skill 56:27 Live Whiteboarding: Replacing Case Studies 01:01:54 Evaluating Candidates for Peak Performance and Potential 02:03:31 CROs' Biggest Blind Spot in Hiring VPs of Sales

Peter Grant helped take Siebel from $39M to $2B in revenue and was employee #9 for Salesforce in Europe. He knows exactly what a platform shift looks like. Now, as the CRO of You.com, Peter argues that the AI wave is moving 30x faster than the internet era—and your current sales playbook is already obsolete. In this episode, Peter strips away the hype to focus on the operational reality of running an AI-first GTM organization. He explains the skill stack today's sellers need, why your team needs to understand APIs, and the specific benchmarks you need to hit to survive the next two years. Plus a whole lot more! Thanks for tuning in. Catch new episodes every Wednesday. Subscribe to Topline Newsletter. Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech. Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast! Chapters: 00:00 Peter Grant's Career and Revenue History 07:32 Choosing You.com and Pivoting to Enterprise 11:46 How AI Search Transforms Sales Discovery 16:12 The Speed and Scale of AI Sales 20:55 Embedding AI Agents into Existing Workflows 27:11 Benchmarking Enterprise AI Spend and Adoption 33:14 Solving the Employee AI Literacy Gap 38:59 The Evolution of the Sales Rep Profile 43:06 Implementing and Prioritizing AI Transformation 52:05 The Hard Reality for Sales Laggards 59:30 Investing Upfront Time to Master Prompting 01:03:10 Why Revenue Leaders Must Be Context Setters 01:10:12 How Tactics Dictate Strategy in Enterprise Deals 01:12:49 Rapid Fire: Leadership Advice and Lessons

Clio's SVP of Global Sales, Jenny Dingus, joins Kyle Norton to talk about why the "people × quota" revenue planning model is terrible, and what they're using instead. Jenny shares how Clio's $1B acquisition flipped their planning model, how they forecast in high-uncertainty markets, and what "drawing the owl" looks like in real life. If you run revenue and you're tired of spreadsheet fantasy planning (or just want to know what two senior GTM leaders are thinking about these days), worth a listen! Thanks for tuning in! Catch new episodes every Wednesday. Subscribe to Topline Newsletter. Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech. Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast! Chapters: 02:15 Jenny's Career Journey from RingCentral to Clio 04:00 Vertical SaaS and Expanding Market Opportunity 06:10 Disruption, AI, and Modernizing Legal Tech 08:00 Educating a Skeptical Market on AI Adoption 10:15 The Myth of the "People x Quota" Growth Model 12:05 Why Linear Capacity Planning Still Persists 14:45 The Integrated Planning Alternative 17:10 Planning Amid Product Launches and Acquisitions 20:15 Quotas, Motivation, and Momentum in Sales Teams 23:00 Multi-Factor Revenue Planning and Emerging Markets 27:05 Managing Speculative Growth Bets and Reforecasting 31:10 Balancing Capacity and Demand in High-Growth Environments 34:40 Strategic Congruence: Playing the Right Company Game 38:30 Communication, Change Management, and Leadership Alignment 43:45 Inside Clio's Acquisition and GTM Integration Process 48:40 Leadership Communication Principles and "Feeling" the Message 52:00 Frontline Enablement During Massive Change 56:45 Building Continuous Feedback Loops and AI-Enabled Training 01:00:30 Quickfire: Lessons in Leadership, Humility, and Focus 01:04:00 Favorite Reads and Closing Reflections

Kyle Norton (CRO at Owner.com) sits down with JD Saint-Martin, President of Lightspeed Commerce, to unpack how he went from startup founder to public-company executive. They discuss scaling Lightspeed from $75M to $1.2B in recurring revenue, and the leadership lessons behind that growth. The conversation covers building high-performance sales cultures, promotion systems, enablement investment, RTO and culture philosophies, and more. Thanks for tuning in! Catch new episodes every Wednesday. Subscribe to Topline Newsletter. Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech. Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast! Chapters 00:01:51 – Startup to Acquisition 00:03:34 – Global Upbringing & VC Start 00:04:03 – Scaling to $1.2B ARR 00:05:25 – Growth Through SaaS & Payments 00:05:44 – Founder to Exec Transition 00:07:21 – Empathy From Doing Every Role 00:09:11 – Leading 3,500 Employees 00:11:07 – "Roll in the Mud" Leadership 00:13:28 – Early Lessons & Advice 00:16:37 – Building High-Performance Culture 00:18:28 – Candid Hiring & Fit 00:21:42 – Transparency in Recruiting 00:22:06 – Obsession With Metrics 00:23:55 – Inputs vs Outputs 00:24:58 – Manager Pyramid Framework 00:27:57 – Promotions & Company Values 00:29:42 – Elite Points System 00:33:29 – Systemized PIPs 00:36:20 – Retaining Top ICs 00:40:31 – Investing in Enablement 00:42:05 – COVID & Lost Osmosis 00:45:06 – Return-to-Office View 00:49:18 – GTM Owns Enablement 00:51:05 – Balancing Autonomy & Consistency 00:53:32 – Payments & Compensation 00:55:35 – No Work-Life Balance 00:59:41 – Energized by the Work 01:18:34 – Favorite Book & Takeaways 01:20:13 – Closing & Outro

Head of GTM Engineering Everett Berry returns to join Kyle Norton (CRO at Owner.com) for a rapid-fire Q&A on how Clay structures its ops, automates everything from QBR decks to redlines, and experiments with the next wave of AI-native sales tools. Thanks for tuning in! Catch new episodes every Wednesday. Subscribe to Topline Newsletter. Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech. Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast! Chapters & Timestamps 00:00 — AI Q&A Format: Everett Berry returns to talk AI and GTM 01:02 — Inside Clay's GTM Engineering Team: structure, size, and stack 06:08 — Reporting Lines: How GTM engineering fits under Clay's leadership 06:26 — Matrix Org Design: RevOps, Finance, and cross-functional ops 09:05 — Balancing Self-Serve vs. Sales-Led Growth 10:54 — When to Add a CRO-type role 13:12 — Clay's Favorite AI Tools: Dust, Crosby, Granola, and Gong 15:39 — How Legal Ops Got Automated with Crosby 18:44 — Top Internal Clay Use Cases: content creation and sequencing 19:41 — Clay's Sequencer and the Future of Sales Engagement 20:27 — The "Pane of Glass" Future for Reps 24:33 — Custom-Built Sales Stacks and Telephony Gaps 26:30 — The Rise of Text- and DM-Based Selling 28:49 — New Frontiers: WhatsApp, iMessage, and automation in DMs 32:02 — Does AI Replace Sales Reps? Not so fast. 33:47 — Creative, Expert-Level Selling in the AI Era 40:47 — Education, Creativity, and the Future of Work 42:51 — How to Convince Your CEO to Invest in AI 45:48 — When to Hire a GTM Engineer (and why the "Golden List" matters) 48:21 — Closing Thoughts: It's a great time to build in GTM

In this episode, Kyle Norton, CRO of Owner.com, is interviewed by Sophie Buonassisi from the GTMnow Podcast. He shares the decisions and frameworks that helped take the company from $2M ARR to over $50M and a billion-dollar valuation. Kyle breaks down the bold early moves—like letting go of half the sales team in his first 45 days—alongside the pivotal role of setting a high talent bar, investing in RevOps early, and building scalable infrastructure. He also unpacks lessons on churn reduction, hiring for DNA over case study performance, and why strategic congruence across product, GTM, and fundraising is critical. Finally, Kyle offers his perspective on AI in go-to-market, balancing in-office vs remote work, and the leadership principles that drive long-term growth. Episode Chapters: (01:00) — Intro (02:26) — Scaling to Unicorn (03:21) — Bold Sales Reset (05:33) — Early GTM Decisions (13:22) — Fixing Churn (16:31) — Hiring for DNA (31:08) — Leadership Alignment (33:23) — Data-First AI (48:25) — Remote vs. In-Office (55:26) — Leadership Principles Cool links: Subscribe to Topline Newsletter. Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech. Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast!

Clay's Everett Berry breaks down how elite revenue teams are actually winning with AI today. We cover the GTM Engineer model Clay runs in-house, why prompt iteration and "taste" still matter, and the unsexy but vital work of segmentation, account scoring, and orchestration across the funnel. Plus, where AI SDR efforts go off the rails, and the concrete first steps a CRO should take to get real adoption and lift. Thanks for tuning in! Catch new episodes every Wednesday. Don't miss GTM2025 — the only B2B tech conference exclusively for GTM executives. Use code TOPLINE for 10% off your GA ticket. Subscribe to Topline Newsletter. Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech. Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast! Timestamps: (01:16) — Guest intro: Everett Berry, Head of GTM Engineering at Clay (02:09) — Origin story → growth roles → discovering Clay (04:52) — What is a GTM Engineer? Clay's embedded (Palantir-style) model & why it works (08:10) — Automating the busywork: pre-call research & more (10:53) — Why many AI GTM pilots miss ROI, plus AI-SDR hype (17:01) — Agent scope and lossiness, checks/evals, and prompt iteration best practices (24:20) — Day-1 win: industry classification; when to use GPT vs. Anthropic for the job (27:54) — CRO AI rollout sequence (33:32) — Data foundations: pipelines, API realities, and org readiness (41:25) — Org design: where GTM Engineering lives (52:10) — Team & stage: roles to hire, GTME + RevOps + agency model; what to insource vs. outsource (1:00:24) — Rapid fire questions