The Official SaaStr Podcast: SaaS | Founders | Investors

SaaStr 849: How We Built Our AI VP of Customer Success with SaaStr's CEO and CAIO Amelia and Jason walk through QB1, SaaStr's vibe-coded AI VP of Customer Success that started as a simple sponsor portal replacement and evolved into a fully agentic customer management system. The result: 70% fewer billable hours, 10x more customer engagement, and a hundred sponsors getting hyper-personalized weekly emails in minutes instead of days. They break down exactly how it was built, what broke, and how you can reverse-engineer it for your own business. Slides linked here. ---------------- Hey everybody - we are just about 30 DAYS out from the biggest B2B and AI event of the year. SaaStr Annual is coming back to the SF Bay Area this May, and if you're not registered yet, what are you waiting for? This is where the real deals get done. 68% VP-level and above. 36% CEOs and founders. 25% AI-first professionals. This isn't a conference, this is THE room where S-tier decision makers show up to figure out what's next. But here's the deal: ticket prices go up FAST. Like, actually hundreds. Don't be that person who waits and then pays full price. Lock in your spot TODAY. Go to podcast.saastrannual.com and use my exclusive discount for SaaStr AI SF 2026. May is closer than you think. See you there.

SaaStr 848: How AI Is Rewiring Sales: Quota, Retention & What's Actually Working with SaaStr, Salesforce and Mangomint In this episode, three revenue leaders at very different stages of AI adoption get real about what's actually working, what's embarrassingly broken, and why nobody should be doubling quota just yet. Panelists: Greg Beltzer — Chief Customer Officer, AgentForce (Salesforce) Ashley Wilson — Co-founder, Momentum by Salesforce Marchelle Mooney — VP of Sales, Mangomint Amelia Lerutte - Chief AI Officer, SaaStr They cover: Why every company has leads they never followed up on (yes, even Salesforce) The "chainsaw without the cover off" problem with AI tool rollouts How Mangomint uses AI to fix terrible salon logos in minutes — and why it freaks customers out Why Marchelle is not raising quota in 2026, even though she could The real resistance to AI adoption (hint: it's not just the CIO) How Momentum is using AI to democratize language for SDRs in Argentina What retention looks like when AI is listening for slow-drip churn signals Why your data is probably worse than you think — and what that means for agents Key takeaway: AI won't magically fix your sales org. Your data has to be clean, your people need training, and you have to rethink workflows from first principles — not just bolt AI onto the old playbook. Recorded live at SaaStr London. --------------------- Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026. With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year. But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait. Lock in your spot today by going to podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there.

What happens when you go all-in on AI tools in a completely remote organization at scale? That's where Marchelle Mooney, VP of Sales at MangoMint, found herself. MangoMint is vertical SaaS for salons and spas with a ~$4K ACV and a five-day sales cycle. Not exactly the profile you'd expect to be running one of the most disciplined remote revenue organizations in SaaS. But Marchelle's team is closing in on a 7.2x ARR-to-OTE ratio, has increased win rates 7% in two quarters, and has given reps 16 hours back per month. All fully remote, all with lean headcount. In this session, Marchelle breaks down the exact three-layer AI Rigor Stack she built to get there: the Clarity Layer, the Cadence Layer, and the Co-Pilot Layer. She also walks through the full tool stack (Notion, Slack, Salesforce, Snowflake, Sigma, Momentum) and how data flows automatically to reps without them ever hunting for a dashboard. The core insight: the problem was never the tools. It was fragmentation. And the path to fixing it runs through subtraction, not addition. If you're running a remote or hybrid revenue org and feel like you're running fast but not getting anywhere, this one's for you. ------ Hey everybody - we are LESS THAN 60 DAYS out from the biggest B2B and AI event of the year. SaaStr Annual is coming back to the SF Bay Area this May, and if you're not registered yet, what are you waiting for? This is where the real deals get done. 68% VP-level and above. 36% CEOs and founders. 25% AI-first professionals. This isn't a conference, this is THE room where S-tier decision makers show up to figure out what's next. But here's the deal: ticket prices go up FAST. Like, actually hundreds. Don't be that person who waits and then pays full price. Lock in your spot TODAY. Go to podcast.saastrannual.com and use my exclusive discount for SaaStr AI SF 2026. May is closer than you think. See you there.

SaaStr 846: 10 Things to Know Before You Deploy Your First AI SDR with SaaStr's CEO and CAIO If you're about to roll out your first AI SDR, or you're on your second or third deployment and still not getting the results you want, this one's for you. Amelia Lerutte, SaaStr Chief AI Officer, and Jason Lemkin, SaaStr CEO and Founder, walk through everything they've learned from running 20+ AI agents in production at SaaStr, including four AI SDRs spanning outbound, inbound, customer success, and sponsor engagement. After 10 months, 1.5 million inbound sessions, and over 200,000 outbound messages sent, they've made enough mistakes to save you a lot of time and money. In this session they cover: Why the tool doesn't matter as much as you think, and what actually does. The single biggest mistake both early-stage startups and billion-dollar companies make when deploying their first AI SDR. How to segment ruthlessly so your agent has the right context for every prospect instead of one big, generic brain. Why consistency beats brilliance, and what "pretty good at scale" actually looks like in practice. The minimum traffic and list size you need before an inbound or outbound AI SDR is worth deploying. How many humans you actually need to run this well, and what happens when you don't have them. What the first 30 days should look like, and why nothing is ever truly set and forget. The real story behind Amelia AI, SaaStr's multimodal video agent, including what they'd do differently if starting over. They also get into lookalike audiences as a list-building hack for early stage companies, when to build versus buy, and what it actually feels like when someone tries to prompt inject your agent at scale. If you've been on the fence about deploying an AI SDR, or you've deployed one and it's underperforming, this is the most practical breakdown of what it takes to make one work. Resources mentioned: SaaStr AI Agents directory: saastr.ai/agents SaaStr Annual 2026: May 12-14, SF Bay Area

SaaStr 845: How SaaStr Built a $5 million Pipeline Machine with 1.5 Humans and 20 AI Agents with SaaStr's Chief AI Officer and Momentum from Salesforce's VP of GTM Amelia LeRutte, SaaStr's Chief AI Officer (and the person Jason Lemkin calls "the AI Agent Whisperer"), breaks down exactly how she went from managing a 10-person team to running 20 AI agents that generated $4.8M in additional pipeline — and closed half of it. In this episode, Amelia walks Jonathan Kvarfordt, Momentum from Salesforce's VP of GTM through: — Her journey from social media manager to Chief AI Officer, including the three-month deep dive where she locked herself in a room to figure out AI agents — The full breakdown of SaaStr's 20-agent stack, including how they split work between tools like Salesforce AgentForce, Artisan, Qualified, Clay, Momentum, Gamma, and Zapier — A live demo of their multi-agent workflow: how a single form submission triggers a chain of agents that enrich data, build personalized Gamma decks, and draft follow-up emails, automatically — Real results: deal volume doubled, win rate doubled, and $2.4M closed from AI-sourced pipeline in just 8 months — The "90/10 rule" for deciding when to buy an agent vs. build one with vibe coding on Replit — Live demos of Digital Jason (Delphi), Amelia AI (Qualified), and a sponsor portal being vibe-coded in real time Whether you're running a lean startup or scaling a go-to-market team, this is one of the most tactical breakdowns of an AI agent stack you'll find. 🎟️ Heading to SaaStr Annual in May? Talk to Amelia AI on the event site for a promo code: https://www.saastrannual.com/

The Top 5 Issues Managing Multiple AI Agents in Production Managing 1-2 AI agents? Easy. Managing 20+? That's a different game entirely. After 9+ months running nearly 30 AI agents in production at SaaStr, we've learned what actually breaks at scale - and nobody's talking about it. This isn't about deployment tips or vendor selection. This is about the brutal realities that only emerge when you're juggling 20+ agents generating $1M+ in revenue. 🔥 THE 5 ISSUES WE COVER: 1. The Context Switching Tax (2:15) Managing 20 agents = managing 20 employees who all speak different languages. Each needs daily 1-on-1s. The math doesn't work: 20 agents × 20 min = 6.7 hours/day, but you only have 3-4 hours of capacity. 2. The New Agent Blackout Period (12:40) Every new agent costs you 2 weeks of chaos. While onboarding Monaco, Artisan's response rates dropped 3% because contacts went stale. You can only safely add 1.5 agents per month max - any faster and you're running in place. 3. The AI Agent Succession Planning Crisis (23:15) You're the single point of failure for $1M+ of AI-driven revenue. Only 2-5% of your team could manage these agents. What happens when you get hit by a bus? Go on vacation? Leave the company? 4. The Agent as Truth-Teller (32:50) "You're 56% behind target. Block 3 hours tomorrow or adjust your goal." Your agents don't sugarcoat. They have all the data and they'll roast you every day. Is that helpful or demoralizing? We still don't know. 5. The Compliance/Security Drift (41:20) You ran a security audit in January. It's now February. You've shipped 40 updates. Did you re-audit? Probably not. Your security posture is degrading in real-time while you iterate at AI speed. BONUS #6: You Lose Patience with Humans (48:30) After managing agents that respond instantly and work 24/7, humans feel painfully slow. "What do you mean you don't know the answer? My agent knows instantly." This makes you worse at managing actual people. ⚡ KEY TAKEAWAYS: → There is no orchestration layer yet - you're manually checking 20 different dashboards daily → Your agents can't talk to each other - Salesforce is the only place they meet → You need a "Chief Agent Officer" - someone technical enough to manage the stack → The math: Can only add ~1.5 agents/month max, need 10-15 hours/week for management → ROI calculation is simple: Which agent touched which lead? Did it close? That's it. 💰 THE NUMBERS: → 20+ agents in production → $1M+ in closed revenue from agents → 30% of Chief AI Officer time spent on agent management → 2 weeks minimum to onboard each new agent → 6.7 hours needed daily to properly manage 20 agents (impossible) 🛠️ AGENTS WE USE: Sales/Outbound: Artisan, Monaco, Agent Force Inbound: Qualified RevOps: Momentum, Attention Marketing: 10K (custom AI VPM), Gamma, Opus Pro Customer Support: HappyFox Internal: SaaStr Sponsors portal (custom vibe-coded) 🔗 RESOURCES: → SaaStr.ai/agents - Full agent directory and how we use each one → SaaStr Annual 2026 (May 12-14) - SaaStr Deploy day: Build your own agents hands-on → Previous episodes: Deep dives on 10K AI VPM, vibe coding, build vs buy 🎤 SPEAKERS: Amelia Lerutte - Chief AI Officer, SaaStr Jason Lemkin - Founder & CEO, SaaStr The uncomfortable truth: Managing 20+ agents makes you worse at managing humans. You get used to instant execution, no pushback, 24/7 availability, and perfect memory. Then humans feel... inefficient. Maybe the future isn't "how many agents can I add" but "how deep can I go with the ones I have." #AIAgents #SaaS #GoToMarket #AIAutomation #ProductivityTools #B2BSaaS #SalesAutomation #MarketingAutomation #AgenticAI #StartupTech Subscribe for weekly AI deployment content from the trenches. No theory. No vendor pitches. Just what actually works (and breaks) at scale. --------------------- Hey everybody - we are LESS THAN 90 DAYS out from the biggest B2B and AI event of the year. SaaStr Annual is coming back to the SF Bay Area this May, and if you're not registered yet, what are you waiting for? This is where the real deals get done. 68% VP-level and above. 36% CEOs and founders. 25% AI-first professionals. This isn't a conference, this is THE room where S-tier decision makers show up to figure out what's next. But here's the deal: ticket prices go up FAST. Like, actually hundreds. Don't be that person who waits and then pays full price. Lock in your spot TODAY. Go to podcast.saastrannual.com and use my exclusive discount for SaaStr AI SF 2026. May is closer than you think. See you there. --------------------- This episode is Sponsored in part by HappyFox: Imagine having AI agents for every support task — one that triages tickets, another that catches duplicates, one that spots churn risks. That'd be pretty amazing, right? HappyFox just made it real with Autopilot. These pre-built AI agents deploy in about 60 seconds and run for as low as 2 cents per successful action. All of it sits inside the HappyFox omnichannel, AI-first support stack — Chatbot, C

SAASTR 843: Software Stocks Have Massively Crashed. Here's What Founders Need to Know. SaaStr founder and CEO Jason Lemkin joins the TBPN show for a wide-ranging conversation on the state of SaaS, AI, and venture capital. Jason shares how he shrunk his team from 15 to 3 people by going all-in on AI agents, why he's lost patience with companies that haven't re-accelerated growth, and the real economics behind running large-scale events. He breaks down why PE has "said goodbye to B2B," how vibe coding is flooding the market with competitors, and what's making the IPO window both exciting and treacherous. Plus: why the agent that closed a $100K deal on a Saturday night matters more than any demo day pitch, and how AI discoverability is quietly reshaping how businesses choose their software stack. --------------------- This episode is Sponsored in part by HappyFox: Imagine having AI agents for every support task — one that triages tickets, another that catches duplicates, one that spots churn risks. That'd be pretty amazing, right? HappyFox just made it real with Autopilot. These pre-built AI agents deploy in about 60 seconds and run for as low as 2 cents per successful action. All of it sits inside the HappyFox omnichannel, AI-first support stack — Chatbot, Copilot, and Autopilot working as one. Check them out at happyfox.com/saastr --------------------- Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026. With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year. But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait. Lock in your spot today by going to podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there.

SaaStr 842: The 90/10 Rule for AI Agents: What to Build vs Buy with SaaStr's CEO and CAIO SaaStr's Chief AI Officer, Amelia Lerutte, and SaaStr CEO & Founder Jason Lemkin break down SaaStr's evolving 90/10 rule for AI agents and apps: buy 90% off the shelf, build the 10% you can't find. In this episode, they walk through two recently built tools: an internal AI VP of Marketing and an external-facing customer portal, and share the real trade-offs of deploying vibe coding apps into production. Topics covered: Why we replaced a paid SaaS tool with a vibe-coded app (and what pushed us over the edge) How Claude Cowork changed the game for building more complex apps The role of writing a spec before vibe coding Tackling single sign-on as a non-engineer How we used Cowork to process 150+ customer contracts in hours instead of days Lovable's data on what people are actually vibe coding Maintenance costs and the hidden time suck of custom apps Why zero AI in your product should scare you The "jaw drop" test for SaaS products in 2026 -------------------------------------- Tools & resources mentioned: Replit, Claude Cowork, Clerk, Lovable, Zapier, Salesforce, Monaco 🔗 See all the AI agents and tools we use: saastr.ai/agents 🔗 SaaStr Annual 2026 (May 12-14): saastrannual.com 🎙️ 20VCwith Harry & Jason & Rory: Drops every Thursday #SaaStr #AI #VibeCoding #B2BSaaS #AIAgents #BuildvsBuy -------------------------------------- This episode is Sponsored in part by HappyFox: Imagine having AI agents for every support task — one that triages tickets, another that catches duplicates, one that spots churn risks. That'd be pretty amazing, right? HappyFox just made it real with Autopilot. These pre-built AI agents deploy in about 60 seconds and run for as low as 2 cents per successful action. All of it sits inside the HappyFox omnichannel, AI-first support stack — Chatbot, Copilot, and Autopilot working as one. Check them out at happyfox.com/saastr --------------------- Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026. With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year. But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait. Lock in your spot today by going to podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there.

SaaStr 841: Going From Blobs to Billions. Clay's Co-Founder Breaks Down Inbound, Outbound, and AI-Powered Sales. Clay's Co-Founder Varun Anand takes the stage at SaaStr to break down how the company went from paying for claymation blobs before generating any revenue to powering growth workflows for companies like Cursor, Anthropic, and Figma. He explains why brand has always been core to Clay's identity, how their CFO roast videos and creative campaigns are actually capturing mindshare in a world where B2B marketing is painfully boring, and why he pushes back on the "use AI for everything" mentality that's taken over the industry. Varun does a full live demo building an inbound qualification workflow from scratch using real audience volunteers, walking through everything from lead enrichment and waterfall data sourcing to AI-powered scoring, personalized meme generation, research brief creation, and CRM updates. He also brings audience members on stage to do live growth hacking for their actual business problems. Beyond the product, this session goes deep on hiring. Varun shares the origin story of the GTM Engineer role, how it went from an internal job title for Clay's non-traditional sales team to the most in-demand position in B2B SaaS, and what he actually looks for when evaluating candidates (hint: it's creativity, not a traditional sales background). He talks about Clay's take-home process, work trials, why they hire generalists who commit to specific roles, and the surprising backgrounds of some of their best hires. Whether you're building out your go-to-market motion, thinking about how to use AI without losing what makes your brand unique, or just trying to figure out what a GTM Engineer actually does, this session covers it all. --------------------- This episode is Sponsored in part by HappyFox: Imagine having AI agents for every support task — one that triages tickets, another that catches duplicates, one that spots churn risks. That'd be pretty amazing, right? HappyFox just made it real with Autopilot. These pre-built AI agents deploy in about 60 seconds and run for as low as 2 cents per successful action. All of it sits inside the HappyFox omnichannel, AI-first support stack — Chatbot, Copilot, and Autopilot working as one. Check them out at happyfox.com/saastr --------------------- Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026. With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year. But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait. Lock in your spot today by going to podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there.

SaaStr 840: From 1 Agent to 20+: The Reality of Managing Multiple AI Agents Across Your GTM with SaaStr's CEO and CAIO Eight months and 20+ AI agents later, what does managing a multi-agent GTM stack actually look like day to day? SaaStr's CEO and Founder, Jason Lemkin, and SaaStr's Chief AI Officer, Amelia Lerutte, get candid about what's working, and what's not. $4.8M in additional pipeline later, AI agents deployed across Go To Market have helped deal volume doubled and win rates double. But here's what nobody talks about on LinkedIn: the 15-20 hours per week each spent maintaining agents, the messy flows holding it all together, and why you still can't outrun your own AI. They cover the 90/10 build vs. buy rule, why hyper-segmentation is the key to AI SDR success, what to demand from vendors before signing, and why bad context will always produce bad emails, whether a human or an AI writes them. Plus, they walkthrough how they built SaaStr's custom AI VP of Marketing agent to plan and execute every campaign for the year, grounded entirely in data. If you've deployed your first agent and are thinking about what comes next, or you're skeptical the whole thing works at all, this one's for you. --------------------- This episode is Sponsored in part by HappyFox: Imagine having AI agents for every support task — one that triages tickets, another that catches duplicates, one that spots churn risks. That'd be pretty amazing, right? HappyFox just made it real with Autopilot. These pre-built AI agents deploy in about 60 seconds and run for as low as 2 cents per successful action. All of it sits inside the HappyFox omnichannel, AI-first support stack — Chatbot, Copilot, and Autopilot working as one. Check them out at happyfox.com/saastr --------------------- Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026. With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year. But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait. Lock in your spot today by going to podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there.

SaaStr 839: Why Most SaaS Companies Will Fail at AI (And How to Avoid It) with Intercom's CPO The Brutal Truth About Transforming a SaaS Company into an AI Company Intercom's Chief Product Officer, Paul Adams, shares the unfiltered story of how they transformed from a struggling SaaS company with 5 quarters of declining growth into an AI-first company with a breakthrough product (Fin) that now handles 1M+ customer resolutions per week. What You'll Learn: Why AI transformation requires "refounding" your entire company - not just adding AI features The self-harming decisions you must make to win (including parting ways with ~33% of your team) How to go from 0 to 6,000+ AI customers with 65% average resolution rate Why demos ≠ products and the "marketing overhang" problem The complete shift in how you build software (empirical evaluation vs. traditional product development) Why designers now ship code to production at Intercom How the buyer has changed (hint: it's no longer just the department head) --------------------- This episode is Sponsored in part by HappyFox: Imagine having AI agents for every support task — one that triages tickets, another that catches duplicates, one that spots churn risks. That'd be pretty amazing, right? HappyFox just made it real with Autopilot. These pre-built AI agents deploy in about 60 seconds and run for as low as 2 cents per successful action. All of it sits inside the HappyFox omnichannel, AI-first support stack — Chatbot, Copilot, and Autopilot working as one. Check them out at happyfox.com/saastr --------------------- Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026. With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year. But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait. Lock in your spot today by going to podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there.