The Official SaaStr Podcast is the latest and greatest from the world of SaaStr, interviewing the most prominent operators and investors to discover their tips, tactics and strategies to attain success in the fiercely competitive world of SaaS. On the side of the operators, we center around getting from $0 to $100m ARR faster, what it takes to scale successfully and what are the core elements of hiring. As for the investors, we learn what metrics they hone in on when examining SaaS business, what type of metrics excites them and what they look for in SaaS founders.
http://www.saastr.comこのポッドキャストは未認証のため、最新エピソードのみ表示されます。
SaaStr 848: How AI Is Rewiring Sales: Quota, Retention & What's Actually Working with SaaStr, Salesforce and Mangomint
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.
SaaStr 847: How MangoMint Increased Win Rates with an AI-Powered Stack
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
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
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/
SaaStr 844: The Top 5 Issues Managing Multiple AI Agents in Production with SaaStr's CEO and Chief AI Officer
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, Copilot, and Autopilot working as one. Check them out at happyfox.com/saastr
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