Podcasts about b2b saas

“It's stressful to work for an employer and it's stressful to work for yourself. It's just like ‘choose your stress.'” – Anna Burgess YangIn this episode of the Sunlight Tax Podcast, I sit down with Anna Burgess Yang to discuss her journey from corporate banking to solopreneurship. We explore the skills that helped her make the leap, how she approaches business decisions and financial management, and what it really means to navigate risk as a self-employed business owner. Anna also shares practical insights on freelancing and building a sustainable solo business while having effective financial planningAlso mentioned in today's episode:00:10 Introduction to Solopreneurship06:01 Transitioning from Corporate to Freelance10:25 Common Mistakes Solopreneurs Make12:26 The Risks of Employment vs. Self-Employment17:10 Current Economic Landscape for Freelancers22:20 Navigating Career Pivots28:04 Financial Management for SolopreneursIf you enjoyed this episode, please rate, review and share it! Every review makes a difference by telling Apple or Spotify to show the Sunlight Tax podcast to new audiences.About Anna Burgess Yang:Anna Burgess Yang is a freelance content marketer and journalist specializing in B2B SaaS and fintech. She is also a solopreneur educator focused on back-end business operations. A former corporate executive, she now writes long-form content for clients. She also maintains her own blog, newsletter, and a tutorials site. Within her content, she teaches other solopreneurs and marketers how to use AI and automation to work more efficiently.Check Out Anna's Work:FREE RESOURCE: Budget Health CheckAnna's InstagramAnna's LinkedInAnna's YouTube ChannelEpisode Links:Join the Workshop: Save Like a Millionaire: Using Tax-Smart AccountsGet your FREE visual guide to tax deductionsOrder my book: Taxes for Humans: Simplify Your Taxes and Change the World When You're Self-Employed Get full access to Taxes For Humans at sunlighttax.substack.com/subscribe

In this episode, Stijn sits down with Antoine, Kalungi's new CEO, for an energizing conversation about what it really takes to grow as a marketing professional in 2026. The centerpiece is Antoine's upcoming book, Level Up — a practical, story-driven guide to becoming the kind of marketer, manager, and teammate that no AI can replace.Antoine pulls from an unconventional journey — from chasing a professional soccer career to leading one of the top B2B SaaS marketing firms in the world — to show that the principles behind great teams aren't that different whether you're on a pitch or in a pipeline review.You'll hear about the frameworks that actually move the needle: situational leadership, managing up and down, self-awareness, and the Super Communicator model — a concept that bridges how you lead your team with how you get the most out of AI tools. Spoiler: the skill that saves you from a 6am angry message from an ambassador might also be the skill that saves your next campaign.Whether you're an individual contributor trying to stand out, or a marketing leader building a team that punches above its weight, this episode will leave you with new language for old challenges — and a few ideas worth acting on today. 

In this today's segment, Dan Sperring, founder and CEO of Align ICP, breaks down a mistake most revenue leaders make when defining their ideal customer profile. The instinct is to chase the highest lifetime value customers, but those segments are often the hardest to win, the slowest to close, and the first to break when the market shifts. This clip focuses on how to balance three critical factors inside your ICP: lifetime value, ease of acquisition, and market health. Dan explains why ignoring any one of these creates pipeline risk, and how leaders can avoid over-rotating into segments that look great on paper but fail in execution. For leaders responsible for predictable growth, this is about making smarter tradeoffs, not just better targeting. Dan Sperring is the founder and CEO of AlignICP, a company focused on helping revenue teams align around high-value customer segments to drive predictable growth. He brings experience across customer success, revenue leadership, and scaling SaaS businesses through product-market and go-to-market alignment. Connect with Dan: AlignICP LinkedIn Books mentioned: The Innovator's Dilemma by Clayton M. Christensen The Innovator's Solution by Clayton M. Christensen and Michael E. Raynor Predictable Revenue by Aaron Ross and ​​Marylou Tyler  Amp It Up by Frank Slootman Tools and podcasts mentioned: clay.com zoominfo.com The Science of Scaling Podcast Listen to the full episode: Aligning Pipeline to Ideal Customer Profile with Dan Sperring Get the Force Management framework for aligning your ICP, sales motion, and customer lifecycle around high-value use cases and measurable business outcomes: The Predictable Revenue Framework: Guide for Leaders Hosted by five-time CRO John McMahon and Force Management Co-Founder John Kaplan, the Revenue Builders podcast goes behind the scenes with the sales leaders who have been there, done that, and seen the results. This show is brought to you by Force Management. We help companies improve sales performance, executing their growth strategy at the point of sale. Connect with Us: LinkedInYouTubeForce Management

If you're running Google Ads and haven't checked your account-level automated assets recently, there's a good chance you're spending money on site links, callouts, and snippets and other AI-generated assets you never set up yourself.In this quick tutorial, I show you exactly where to find automated extensions in Google Ads and how to switch them off. This will save you a lot of money. This came up during a client account audit, and it was AI that reminded me and flagged where the spend was actually going — which is part of why I keep pushing AI as a core part of any PPC workflow nowadays. If you missed the previous video on how I use AI day-to-day for B2B SaaS marketing, the link is in the resources below.Note: this tutorial will help if followed visually.-------------------------------------------------

Pricing is the most avoided conversation in B2B marketing. It's handed down from finance, rubber-stamped by sales, and marketers are expected to promote whatever number comes out. Matt and Liam make the case that pricing is actually a marketing problem — and that the explosion of "no decision" outcomes in B2B SaaS is largely a symptom of not understanding how buyers think about value relative to cost. Keywords: B2B SaaS pricing, pricing strategy, marketing and finance alignment, go-to-market, buyer psychology

Send us Fan MailIn this episode of Sidecar Sync, Amith and Mallory explore three major developments shaping the future of AI. First, they unpack how an OpenAI model independently solved a decades-old mathematical problem—challenging long-held assumptions and proving AI can generate truly novel insights. Then, they break down Microsoft Build 2026 and the shift toward an “agent-first” world, where AI systems take on real work across your organization. Finally, they dive into Anthropic's powerful new Claude Fable model, discussing its capabilities, real-world applications, and the growing tension between performance and transparency. Along the way, they connect these breakthroughs back to what matters most for associations: data strategy, flexibility, and staying ahead in a rapidly evolving AI landscape. 

Going after a new segment sounds sexy… until you actually try to do it.

Explore how transparency and accountability can transform PPC campaigns and client relationships. Simran Harichand shares lessons from her experiences, including a major underspend mistake that ultimately strengthened client trust.Main Topics:Accountability and transparency in PPCRebuilding client trust after budget overspendFoundational best practices in PPCEthical and effective use of AI toolsCommunication and relationship building in advertisingChapters:00:00 Welcome, introductions, and Simran's journey from Pakistan to UK paid media04:17 A €30,000 underspend on a major B2B SaaS account06:17 How a Target CPA change quietly tanked spend08:42 Owning the mistake and facing the client10:11 Rebuilding trust after a costly PPC error12:30 Why underspending can create serious business problems16:48 Breaking into PPC, internships, and hiring junior talent20:27 Why brilliant basics matter more than shiny tactics25:03 Advice for marketers who discover a major mistake26:27 Building client relationships before things go wrong28:46 The worst GA4 and conversion tracking mistakes in account audits33:20 AI Max, Performance Max, and testing new Google features37:54 Where marketers are getting AI wrong41:41 "Nobody Told Me This Was a Career"42:53 Closing thoughts and where to find SimranSimran Harichand - LinkedInPPC Live The Podcast features weekly conversations with paid search experts sharing their experiences, challenges, and triumphs in the ever-changing digital marketing landscape.Thanks to our sponsor ⁠Adsquire,⁠ a small team of passionate and focused legal marketers that do what it takes to get law firms spectacular results! With the landscape always changing they stay on top of the trends and are first to find and use new strategies to accomplish this for our clients - for example they are the FIRST to serve a lawyer ad on ChatGPT.Join the next ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠PPC Live ⁠⁠⁠eventFollow us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Slack Group⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Newsletter⁠⁠

What does it actually take to build a go-to-market strategy for a category that barely existed 18 months ago?In this episode of The Growth Leaders Series, Charlie Marchant sits down with Nick Lafferty, Founding Marketing Engineer at Profound, the AI Search tracking platform helping major brands understand how they show up in ChatGPT, Gemini, Perplexity, and other LLMs.Nick brings serious growth experience to this role. Before Profound, he drove millions in B2B SaaS pipeline at Loom and Mailgun, then spent two years running a solo consulting agency before joining Profound. In this episode, Nick Lafferty covers:Why velocity is a moat in AI SearchWhat a modern, lean marketing team actually looks like, why Nick hires for a generative marketer mindset, and his advice for showcasing this online The growth strategy behind Profound, centred on sharing data and insightsThe go-to-market motion behind Profound's Zero Click events, scaling from 400 to 800+ attendees across New York and LondonThe layered mentality around AI Search for different business sizesWhy FAQ content and FAQ schema is the lowest-hanging fruit most big brands are leaving on the tableHow to make the internal case for AI Search investment when leadership is still thinking in Google termsThe career advice he'd send back to his first dayRead the full show notes: https://exposureninja.com/podcast/growth-leader-series-nick-lafferty/Follow Nick Lafferty on LinkedIn: https://www.linkedin.com/in/nicklafferty/New episode launches every Wednesday throughout June 2026, so stay tuned to hear from growth leaders from leading brands like McKinsey and Company, Wise, and AirOps! Book a consultation to get a live review of your website and marketing

A gym franchise creates workout content like everyone else in their category — and sees zero brand awareness gains. Sound familiar?Michael Corcoran, the mastermind who drove 2 billion organic impressions in 18 months at Ryanair (with zero paid media), reveals why most brands are failing at social media by copying tactics without understanding strategy.Michael Corcoran is the former head of social at Ryanair, where his team of just eight people transformed the airline into a viral sensation. Today he runs Slice Social, a social media consultancy helping brands achieve extraordinary results through strategic social media marketing.In this episode, you'll discover why jumping on trends isn't a strategy, how to use the 4C's framework to develop actual social media strategy, and why Michael thinks you should create a "data dating show" for a B2B SaaS company. Plus: the real reason Ryanair's unhinged posts worked (hint: it wasn't just about being funny).Here's what you'll learn in this episode:(00:00) Intro(01:06) What clients really want from social media consultants(06:05) The education gap between social media managers and marketers(07:42) Why content pillars aren't strategy (and what actually is)(14:56) Why everyone copying Ryanair's tactics is missing the point(19:31) The 4C's framework: Company, Category, Culture, Customer(22:26) Why posting memes might be lifting your category, not your brand(31:14) Creating a "data dating show" for B2B marketing(60:14) The ROI of 2 billion impressions at Ryanair(63:26) Rapid fire: Books, tools, and who to interview nextWe hope you enjoyed this episode of Ahrefs Podcast! As always, be sure to like and subscribe (and tell a friend).Where to find Michael Corcoran:LinkedIn: https://www.linkedin.com/in/michaelrichardcorcoran/X: @mc_so_meWebsite: https://www.slice-social.com/Where to find Tim:LinkedIn: https://www.linkedin.com/in/timsoulo/X: @timsouloWebsite: https://www.timsoulo.com/Referenced:Alchemy by Rory Sutherland: https://www.amazon.com/Alchemy-Dark-Art-Science-Persuasion/dp/0062388428Ahrefs: https://ahrefs.com#SocialMediaStrategy #MarketingMarketing #SocialMediaMarketing #AhrefsPodcast

Send us Fan MailGuest: Ivan Lee, Founder & CEO of DatasaurWe're looking at what happens when AI changes the market faster than the old SaaS playbook can keep up.Ivan Lee, founder and CEO of Datasaur, joins SaaS Backwards to share how his company navigated one of the most dramatic shifts in enterprise AI. Datasaur started as a data annotation platform before ChatGPT changed customer priorities, paused AI roadmaps, and forced the company to rethink its product, GTM strategy, and business model.Ivan explains why out-of-the-box tools like ChatGPT Enterprise and Microsoft Copilot can be useful starting points, but often hit a ceiling for regulated enterprises that need private AI trained on their own data, workflows, and processes.He also shares how Datasaur moved from a traditional SaaS model toward end-to-end AI solutions, what founders can learn from disrupted marketing channels, and why the future of SaaS may depend less on selling software access and more on solving the customer's actual job to be done.Key Takeaways:Why enterprise AI often breaks down when it lacks access to private data and internal workflowsHow ChatGPT disrupted Datasaur's original AI roadmap and customer baseWhy old SaaS GTM channels stopped working in a crowded AI marketHow Datasaur rebuilt around private, secure AI for regulated industriesWhat SaaS founders should measure when marketing “best practices” stop producing results---Stalled pipeline? Lost deals? Diagnose your GTM gaps with a free, actionable checkup. 

Carl Piehl och Vidar Trojenborg, medgrundare Emfas, gästar podden Framtidens E-Handel. Det blir ett djupt och strategiskt samtal om de senaste månadernas tekniska revolution, hur framtidens P&L-analys förändras i realtid och varför den traditionella B2B SaaS-modellen utmanas. Dessutom diskuterar vi varför mänsklig storytelling och kreativ vision blir den sista vallgraven när agenter tar över rutinarbetet.02:20 - Nya rekord sätts varje månad för AI-bolagens omsättningstillväxt.03:50 - Emfas grundades för att automatisera tråkig hantering av produktdata.06:37 - Det skedde ett revolutionerande teknikskifte mot smarta AI-agenter.11:05 - Traditionell B2B SaaS utmanas av lägre rörliga byteskostnader.13:49 - Nya integrationer gör att du installerar PIM på fem minuter.14:35 - Kontext och datastruktur är svårast när man bygger egna verktyg.19:34 - Kundtjänstbolag med traditionella prismodeller per agent möter svåra tider.22:00 - Duktiga utvecklare blir mer produktiva och efterfrågan förblir hög.25:44 - E-handlare måste först kartlägga sina processer för att lyckas.28:56 - Mindre bolag kan ställa om mycket snabbare än trögrörliga jättar.36:03 - Människor är dramatiskt mycket bättre på att hantera tvetydighet.37:35 - Kreativ vision och genuin storytelling blir varumärkets viktigaste konkurrensfördel.52:20 - E-handeln kommer att gynnas absolut mest av AI-driven effektivisering.Här hittar du Vidar, Carl & Emfas:https://www.linkedin.com/in/vidar-trojenborg-289059106/ https://www.linkedin.com/in/carl-piehl-1a3064163/ https://emfas.ai/ Sponsor Mimir:https://trymimir.com/ Framtidens Berns Event:https://framtidensehandel.se/products/roast Följ Björn på LinkedIn:https://www.linkedin.com/in/bjornspenger/ Följ Framtidens E-handel på LinkedIn:https://www.linkedin.com/company/framtidens-e-handel/ Besök vår hemsida, YouTube & Instagram:https://www.framtidensehandel.se/ https://www.instagram.com/framtidens.ehandel/ https://www.youtube.com/channel/UCEYywBFgOr34TN8NtXeL5HQPoddproducent och klippare Michaela Dorch & Videoproducent Fredrik Ankarsköld:https://www.linkedin.com/in/michaela-dorch/ https://www.linkedin.com/in/ankarskold/ Tusen tack för att du lyssnar!Support till showen http://supporter.acast.com/framtidens-e-handel. Hosted on Acast. See acast.com/privacy for more information.

#361 | In this episode, Matt Carnevale, Head of Community at Exit Five talks with three marketers doing impactful work in AEO. AI search is changing how buyers find products, and most B2B teams are still figuring out where to start. In this session, each marketer shares what's working and wins they've experienced — from earned media and technical audits to homepage fixes and tracking AI visibility. Whether you call it AEO, GEO, LLMO, or EIEIO – this one's for you. This session features guests Matt Dzugan, VP of Data Intelligence at Muckrack, Brett Bernath, Director of Product at Webflow, and Jess Joyce, Founder of Inbound Scope – an SEO and AI Search consultancy.Timestamps(00:00) - - - Why 80% of CMOs say AEO is a top priority — and most don't know where to start (02:48) - - - How Muckrack used original research to get cited in ChatGPT before their product launch (02:50) - - - Why top-of-funnel content is getting eaten by AI — and where to focus instead (02:53) - - - Quick win #3: authority — how to show up in Reddit and third-party platforms (02:56) - - - The sleeper tip: Bing Webmaster Tools is already giving you first-party AI data (03:07) - - - How to handle competitor comparison content without verifiable claims falling flat (03:23) - - - The four-bucket AEO maturity model: content, technical, authority, measurement (03:24) - - - Why your homepage is your worst-performing page for AI discoverability (03:27) - - - Quick win #1: technical hygiene — schema, meta descriptions, and structured data (03:28) - - - How to identify which journalists get cited most by AI in your niche (03:29) - - - Quick win #2: are you actually answering what your customers are asking? (03:34) - - - Why 1 in 3 B2B SaaS sites have technical blockers killing AI discoverability (03:36) - - - Why original research is the single best content type for earning AI citations Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Optimizely - A no-code AI platform where autonomous agents execute marketing work across webpages, email, SEO, and campaigns. Learn how to deploy agents on your marketing team at Agents in the Mix. Learn more at optimizely.com/exitfive. Vector - A contact-level ads platform that lets you build audiences from actual people on your site, clicking your ads, and checking out your competitors. Learn more at vector.co, and get their new MCP server by clicking here. Customer.io - An AI powered customer engagement platform that help marketers turn first-party data into engaging customer experiences across email, SMS, and push. Learn more at customer.io/exitfive.Join us in Stowe, Vermont for Drive 2026 - three days away from your desk to learn what's working in B2B marketing from the people who are actually doing it. Grab your ticket at exitfive.com/drive.***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

Send us Fan MailIn this jam-packed “mini” episode, Amith Nagarajan and Mallory Mejias break down a whirlwind of recent AI model releases—from Anthropic, Alibaba, Microsoft, and beyond—and what they signal about the rapidly evolving AI landscape. Then, they dive into Microsoft's 2026 Work Trend Index Report, unpacking the “agency equation” and what it really means for organizations navigating AI adoption. From the rise of agents and the four modes of working with AI to the growing gap between employee readiness and organizational culture, this episode explores why AI transformation is less about tools and more about leadership, systems, and mindset. Plus, they introduce the concept of “owned intelligence” and what it takes to become a true learning organization in the age of AI. 

Join Angel Horvat, Founder and CEO of AI Readi, for a candid evaluation of why the corporate rush into generative AI is grinding to an unexpected halt. Despite massive infrastructure investments, the enterprise journey is hitting a hard wall: while 88% of organizations have initiated AI pilots, a staggering 94% remain permanently trapped in pilot purgatory. Drawing on his years leading AI and data strategy at Nike (EMEA) and Gartner, Angel reveals that these failures are almost never a failure of the tech—they are structural failures of the organization itself. In this episode, we discover how to bridge the gap between initial demo and scaled business value.

In this episode, recorded out in the New Mexico desert at ChiliPalooza, Jordan Crawford makes a blunt case to B2B SaaS: the methodologies you built your career on are about to age out, and the only way through is to get your hands on Claude Code.Jordan's spent his whole job lately doing one thing: teaching clients to work with AI. And what he's found cuts against almost everything sales and marketing teams currently do.What this episode covers:Why the constraint on building things isn't budget or headcount anymore, it's imaginationThe SDR question every revenue leader is asking today: we went all-in, we see the volume, and we don't know what's working...so now what?How Jordan rebuilds prospecting strategies from what customers actually did, not what a rep thinks they wantWhy being wrong fast and cheap beats being right slowly: "you can beat any grandmaster if you get two moves to their one"The truth about a sloppier world, and why polish is no longer the pointWhy the gap between people who are great at this and people who are bad at it comes down to how you think, not skillWhy the "graybeards" built on ten-year-old playbooks are going away, and what replaces themThe people who get in the tool will build things the graybeards can't imagine. The ones who don't will spend the next few years explaining a methodology nobody's buying.-----------------------------------------------------

"A CRO told us the word our customers cared about most was extensibility. I'm a marketer — I've never used that word in my life."When was the last time marketing had a real say in what got built? In most B2B SaaS companies, engineers and founders own the product, and marketers inherit whatever comes out the other end. Matt Sciannella and Liam Moroney explore what it would look like for marketers to genuinely influence product direction — not by taking over, but by asking the questions nobody else is asking. Keywords: B2B marketing strategy, product marketing, market research, customer discovery, SaaS go-to-market.

Most founders think they have a sales problem. According to Lou Shipley, they usually have a customer understanding problem.Lou is a 3x CEO, Senior Lecturer at Harvard Business School, former CEO of Black Duck Software, and co-author of Unlikely Entrepreneurs.During his time at Black Duck, Lou repositioned the company from open-source compliance to open-source security, quadrupled revenue, and helped lead the company to a $565 million acquisition by Synopsys.In this conversation, we discuss: Why founders should not hand off sales too early  The real purpose of your first 100 customer conversations  How to know if you're solving a painful enough problem  Why competitive markets can be better than new markets  The go-to-market framework that helped scale Black Duck  How to identify product-market fit before building too much  What causes churn and how to spot it before it happens  Why most founders misunderstand scaling a sales team  The reality of AI and what founders should pay attention to  Lessons from six startups, multiple exits, and decades of leadership This is a practical conversation about sales, positioning, product-market fit, scaling teams, and building companies that customers actually want.00:00 Introduction to Lou Shipley and Black Duck Software02:00 The Black Duck acquisition story and repositioning strategy04:30 Why founders should own sales longer than they think09:10 Learning from customers before chasing revenue12:00 Why competitive markets are often better opportunities15:00 The myth of the young founder and why experience matters18:40 Understanding customer pain deeply enough to build a company21:20 Signs you're building a solution nobody truly needs22:45 Building software for yourself vs guessing what customers want25:00 How Lou repositioned Black Duck around security27:30 Managing vs leading as your company scales31:00 Escaping the weeds and thinking like an investor33:10 The sales framework behind Black Duck's growth39:00 Churn, product-market fit, and customer retention43:30 AI, software startups, and what founders should watch51:30 What Lou learned after running multiple companies57:20 The one message every founder needs to hearUnlikely Entrepreneurs: Wins, Losses, and Crucial Lessons on Building Great Companies: https://a.co/d/0fPfhi1D

What's up everyone, today we have the pleasure of sitting down with Ashley Langford, Marketing Operations and RevOps Leader.Summary: Ashley Langford has every credential the MOps job search advice says you're supposed to have: 2 Marketo Champion designations, a decade of B2B SaaS experience across multiple industries, a strong community presence, and a track record of building functions from scratch. She's still getting auto-rejected within minutes and ghosted by companies she was genuinely excited about. In this episode, she breaks down what the MOps job search actually looks like in 2026 from the inside, including how she uses Claude to build an interview packet before every meeting, why she has a hard line against unpaid take-home projects, and how the director-level search carries friction points that most job search content ignores entirely. She also says something most practitioners won't say out loud: she realized she was performing confidence instead of having it. If you're in a search right now, or know someone who is, this one is worth your full attention.About Ashley LangfordAshley Langford is a Director of Marketing Operations and 2-time Marketo Champion who has built and led MOps functions from scratch across B2B SaaS companies including LastPass, Integrate, HackerRank, GreenSky, and Waystar. Her work spans fintech, insurance, biotech, and HR technology, with deep expertise in Marketo, Salesforce, 6sense, and Looker. Adobe's Marketo Champion program selects around 40 practitioners globally each year; Ashley has earned the designation twice, in 2020 and 2023, and is also a Marketo Revvie Award Finalist.What Nobody Warns You About When You Get Laid OffThe shame of a layoff hits in a specific, quiet way that almost nobody includes in the public job search conversation. It doesn't look like despair. It doesn't stop you from applying, updating the resume, or showing up to the networking calls. It just tilts you. You overexplain the layoff in interviews. You hedge when confidence is what the moment requires. You walk in grateful to be considered instead of knowing what you're worth.Ashley Langford is 4 months into a search that should, by any rational measure, be going better. She has 2 Marketo Champion designations, a decade of track record across multiple industries, and genuine community presence. Her time at LastPass ended in a layoff that was clearly business-driven following the company's public turbulence. None of that insulated her from the quiet voice that arrives anyway.She didn't recognize it immediately. It took a few conversations before she saw what was happening. "I was performing confidence instead of actually having it," she says. For someone whose professional identity is built on expertise and results, that admission is uncomfortable. But naming it is where you start. You can't correct what you haven't acknowledged.The market doesn't help. Ashley has the credentials, the community ties, and the network. She's done what the standard job search advice prescribes. She's still getting auto-rejected within minutes and ghosted by companies she was genuinely excited about. "I haven't been ghosted this much since I was on Tinder like 12 years ago," she says. "At least then I knew why."The honest accounting: being well-credentialed matters inside the MOps community, where a Marketo Champion designation opens doors with people who know what it means. Outside that community, there are plenty of doors where it doesn't register. And the external recruiter pipeline, which used to generate steady inbound interest for practitioners at her level, has gone almost completely quiet. That drought is a real signal about what's happening in this market. The job posting numbers don't capture it.The practitioners who move through a senior search with the most clarity tend to be the ones who name what they're carrying early. The public-facing posture, excited about what's next, lots of great conversations, is one layer. The private reality of a Wednesday afternoon is another. Closing that gap starts with honesty about the performance, not just the tactics.Key takeaway: Name the performance gap before your search does it for you. After your next interview, write down 1 moment where you hedged, over-explained, or undersold your work. Identify the specific claim you avoided making. Draft the version with a number attached, and practice saying it without softening it until it sounds like your default.Where the MOps Job Search Actually Happens in 2026The job search advice is consistent about channels. LinkedIn, niche job boards, the hidden market through direct outreach and community presence, networking as a KPI. The framework is reasonable. What's harder to find is how it actually plays out for a practitioner with a specific profile in a specific market.Ashley's day starts on LinkedIn. New postings first, then the feed, because hiring managers sometimes announce open roles informally before they list them. From there: VC-backed job boards, which surface companies building fast. She's tried the Ashby job board search technique and found listings that hadn't appeared anywhere else. Greenhouse, the ATS platform, now has a cross-company search function that most people haven't found yet.After all of it, where are actual responses coming from? LinkedIn. The hidden job market is real and worth working. It's also producing less than the visible one right now. Anyone spending most of their search trying to unlock doors not listed on job boards while ignoring the platform still generating replies is optimizing against their own results.On conversations as the primary KPI, Ashley's take is more nuanced than the standard advice. She's gotten jobs through her network before. The approach works. But it requires having the kind of network that actually moves for you: people who will pick up the phone and make a call, not just say they'll keep an eye out. "The ratio depends on your network that you've actually built, not the one that you wish you have," she says.There's a structural wrinkle for MOps practitioners specifically. MOps people tend to be industry-agnostic, which is part of what makes the role valuable. Ashley has worked in fintech, insurance, biotech, and HR tech. That breadth is an asset in the market. It's also why her first-degree connections aren't concentrated in any one industry or company cluster. The broader the career path, the more spread out the network, and the harder it is to find someone who happens to know someone at the specific company hiring right now.The conversations-versus-applications question resolves the same way for most people: you need both. The ratio just depends on what you've actually built, and being honest about which bucket your network falls into before committing to a strategy built around the other one.Key takeaway: For 2 weeks, track which channel produces each actual response, not each application sent. If LinkedIn is generating replies and Ashby isn't, redistribute your time accordingly. Add the Greenhouse cross-company search to your daily routine and check it alongside LinkedIn. Both tools are free and most people haven't found the second one.What Hiring Managers Actually Look For in a MOps ResumeMost job seekers are guessing at what the other side of the table actually looks for. The tactical advice is everywhere: tailor your resume, use keywords from the JD, follow up with the recruiter. What's far less available is the hiring manager's actual perspective from someone who's done both in the same search.Ashley has built MOps teams. She's reviewed application stacks. She knows exactly what she skims past and what makes her stop. Now she's running that same lens on her own materials, which is a sharper fe...

If you're only using AI to write blog posts or social media content, you're leaving serious value on the table, especially if you're in B2B SaaS marketing. In this video, I break down the 3 ways I use AI tools day-to-day as a B2B growth marketer consultant, and I will go through how you can start embedding them into your own marketing workflow.If you're a SaaS founder trying to scale your marketing output or an aspiring B2B marketer building your AI skillset, these practical, and immediately actionable use cases will help you immediately increase the value AI has on your operation.

In this episode, we're joined by George Storm, CRO at N.rich, for a conversation about why traditional B2B SaaS forecasting is no longer good enough in today's market. George shares how N.rich, the European ABM platform, helps sales-led companies influence complex buying committees, warm up priority accounts, and progress accounts before sales ever reaches out.  We spoke with George about why forecasting can't be treated as a static quarterly exercise anymore, why revenue leaders need to account for macro signals like layoffs, budget freezes, acquisitions, interest rates, and market turbulence, and how to move from fixed-number forecasting to ranges, probabilities, and continuous forecast loops. He explains why CROs should think in “regimes” like calm, turbulent, and stormy markets, and how that changes the way you model win rates, sales cycles, ACV, and pipeline coverage. Here are some of the key questions we address: Why is traditional SaaS forecasting broken? Why should forecasts be modeled as ranges instead of fixed numbers? How do macro signals like layoffs, acquisitions, and budget freezes impact pipeline confidence? Why can historical win rates be misleading in today's market? What does it mean to forecast in calm, turbulent, or stormy weather? How can CROs build a continuous forecasting loop instead of relying on quarterly updates? What should revenue leaders monitor weekly to avoid surprise misses?

Send us Fan MailIn this episode of Sidecar Sync, Mallory Mejias welcomes Dr. Jessica Miles, founder of The Informed Frontier, former VP of Strategy and Investments at Holtzbrinck, and advisory board member for Johns Hopkins University Press, for a fascinating look at how AI is transforming publishing, research, and trusted content ecosystems. Jessica explains what happens when AI becomes a “reader” instead of just a writer or assistant, why associations and scientific societies may already be part of AI training pipelines, and how organizations should think about crawl-based access, bulk licensing, and runtime access as the emerging gold standard. The conversation also explores AI's impact on research integrity, peer review, content metrics, and the irreplaceable role of human accountability in an AI-driven knowledge ecosystem.

Salesforce made waves in February 2026 by introducing the Agentic Work Unit, or AWU, as a new way to measure and potentially price AI agent activity. The Metrics Brothers, Ray "Growth" Rike and Dave "CAC" Kellogg dig into whether the AWU is a legitimate step toward outcome-based pricing, a vendor-specific adoption metric, or just another awkward intermediate measure in the long, messy history of software pricing models.Episode Highlights:Tokens are not business metrics. Ray and Dave open by drawing a clear line: tokens measure text processing and compute consumption, not business outcomes. Nobody walks into a board meeting announcing they processed 14 billion word fragments, and enterprise buyers should not be priced on that basis.What Salesforce is actually trying to do with the AWU. Defined as "one discrete task accomplished by an AI agent," the AWU is Salesforce's attempt to bridge the gap between low-level compute metrics and business outcomes. The hosts debate whether it is a pricing metric in waiting, an AI adoption signal, or simply the best available approximation of work performed by agents.A short history of bad pricing units. From CPU counts to MIPS to kilocharacters to gigabytes, Ray and Dave trace the long, humbling history of software vendors searching for a pricing metric that maps to value. The Soviet chandelier analogy makes an appearance, courtesy of Appian CEO Matt Calkins.Activity versus outcome: the core tension. Ray argues the AWU is directionally right but fundamentally an activity metric, not a true economic outcome. Dave is more skeptical that outcome-based pricing can scale broadly, pointing out that customers say they want value-based pricing until a vendor actually tries to take a cut of the upside.Vertical AI applications have the clearest path. Both hosts agree that verticals with well-defined, countable outputs, such as cases resolved in customer support or claims processed in insurance, are best positioned to price on outcomes and may not need the AWU at all.The AWU needs a new name, and probably a new definition. Ray and Dave close with the observation that just as NRR took nearly a decade to emerge as a standard SaaS metric, meaningful AI metrics will take time to mature. The AWU, as currently defined, is a Salesforce-specific construct and unlikely to become an industry standard.If you are a B2B SaaS or AI-Native software operating executive, this conversation on one of the first agentic AI metrics to measure work activity is a great listen.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Aidan Madigan-Curtis's path to becoming a partner at Eclipse hinges on fundamental and generalizable takeaways about the U.S. economy that are coming to the fore again. When she was on the manufacturing team at Apple, helping to launch the first Apple Watch, she realized many of the best minds in the world where whittling away at B2B SaaS even as 85% of global GDP, concentrated on how we make, move, and power things, would require step-changes in both hardware, production processes, and decarbonization and sustainability. To address that gap, Aidan and partners have built Eclipse Capital into a $10 billion venture firm that invests in and support companies combining novel approaches to both atoms and bits-focused businesses to rebuild American manufacturing, energy infrastructure, and industrial capacity.Fast-forward to 2026, and the results validate the insight into the core needs and the opportunity to address it: Eclipse recently raised another $1.3 billion across two new funds to back everything from sodium-ion battery storage (Peak Energy) to next-generation nuclear reactors to radiopharmaceutical manufacturing facilities. The firm's portfolio also spans advanced metal 3D printing (Vulcan Forms), autonomous construction equipment (Bedrock Robotics), and cell therapy manufacturing (Solaris). And the thesis remains largely the same, namely that physical-world companies with durable advantages will define the next market cycle, especially as AI demand collides with infrastructural realities.There's a lot more to Nick and Aidan's convo than this, too. Nick and Aidan also zoomed out to examine topics such as: • How data center build-out could accelerate renewable deployment and other elements of the push to decarbonize and advance sustainability prerogatives• How and why public market narratives are shifting to reward companies with physical assets whereas these were less privileged even a few years ago• The power of manufacturing scale to create geopolitical advantages whether economically or in terms of national security. Tune in for all that and more! To learn more about Eclipse and to explore their portfolio, you can also explore their website here: https://eclipse.capital/Plus, to learn more about their recent fundraising and their theses moving forward, catch up on news articles like this one: https://www.manufacturingdive.com/news/vc-firm-eclipse-raises-1-b-physical-industries-university-endowments/818546/Timestamps:00:02:21 - Eclipse's New Funds and Capital Raising00:03:34 - Eclipse's Focus on Industrial Technologies00:05:47 - Watching the Market Catch Up to Eclipse's Theses00:07:03 - Aidan's Experience at Apple00:08:43 - How COVID and Supply Chain Disruptions Catalyze Change00:09:14 - The Need for Domestic Manufacturing00:11:07 - Company Case Study: Peak Energy and Battery Storage00:12:23 - Company Case Study: The Nuclear Company and "Pre-approved Nuclear"00:15:38 - Geographic Dispersion of Technological Innovation and Impact00:18:23 - Grassroots Resistance to Data Centers00:22:14 - The Opportunity Inherent to Data Centers and Decarbonization00:24:46 - The Industrial Revolution and Rapid Transitions of The Past00:27:09 - The Role of Venture Capital in Sustainability00:28:27 - Shifting Public Market Appetite for Physical Companies00:31:13 - Public Market Dynamics and Narratives00:34:07 - Industrial Innovations and Manufacturing00:38:23 - Advanced Manufacturing in the U.S.00:40:01 - U.S. vs. China in Manufacturing Scale00:43:23 - An Eye Towards the Future of Energy and Climate Tech00:45:01 - Non-linearity in Climate ChangeFinal notes:To keep up with Aidan and her work, you can also follow her on LinkedIn: https://www.linkedin.com/in/aidan-madigan-curtisPlus, you can stay up to date on all things Keep Cool here: https://keepcool.co/ and follow Nick on LinkedIn: https://www.linkedin.com/in/nicholasvanosdol/Thank you so much.

Host: Annik Sobing Guest: Niki McKinnell Published: May 2026 Length: ~22 minutes Presented by: Global Training Center Niki McKinnell on Sales, Marketing, and the Story Behind Supply Chain Growth Annik Sobing welcomes Niki McKinnell to the Simply Trade Roundup for a conversation about what happens when sales and marketing break down in B2B SaaS supply chain companies. Niki shares how her career began in public sector communications and crisis press offices, how she learned to build a story with limited resources, and how that foundation shaped the way she approaches marketing, messaging, and go-to-market strategy today. What You'll Learn in This Episode How Niki built a career around storytelling Niki explains how her path started in government communications, where she worked in press offices and crisis environments. She talks about how those early experiences taught her to think strategically about messaging, audience, and impact. Why sales and marketing break down The episode explores the most common reasons sales and marketing teams lose alignment in supply chain SaaS companies. Niki describes how different definitions, assumptions, and metrics can create friction even when everyone is working toward the same goal. What makes supply chain different Niki breaks down why supply chain has its own flavor when it comes to go-to-market strategy. Buyers are focused on their operations, not your product, which means credibility, timing, and intentional messaging matter more than ever. How to bring teams back into alignment One of the most useful parts of the conversation is Niki's framework for stronger execution: alignment, coordination, and visibility. She explains how teams can work more intentionally before, during, and after GTM activity so they are moving with the same goals in mind. Why long sales cycles need a different approach Niki and Annik discuss how complex buying committees, long sales cycles, and deeply rooted habits make this industry especially challenging. Niki shares how companies need to adapt their strategy to meet buyers where they are. What to do when pipeline stalls Niki offers advice for founders and leaders who are struggling with pipeline. Her recommendation is to focus on the brand, demand, expand framework, with brand awareness, demand generation, and customer growth all working together to support revenue. Who this episode is for This episode is especially valuable for marketing leaders, sales teams, founders, and GTM professionals working in supply chain or B2B SaaS. It is also a great listen for anyone trying to understand how strategy, communication, and alignment shape growth in a complex industry. This podcast is presented by Global Training Center.  Subscribe & Follow Stay connected with the Simply Trade community and never miss an episode that helps you trade smarter.

Send us Fan MailGuest: Anthony Nitsos, Founder of SaaS GurusA SaaS company doesn't become fundable because it's growing—it becomes fundable when the financial engine underneath that growth can withstand scrutiny.In this episode of SaaS Backwards, Anthony Nitsos, founder of SaaS Gurus, joins us to discuss what actually makes a SaaS company fundable. Revenue, customer growth, and cash in the bank are all important signals, but they do not always reveal whether the business is healthy, scalable, or ready for diligence.Anthony breaks down the difference between accounting and strategic finance, why ARR and NRR are often misunderstood, and how metrics like cash flow, CAC, and gross margin can give founders a clearer view of their company's health.Key takeaways:Why finance is forward-looking while accounting is backward-lookingThe five SaaS metrics every founder should understandHow ARR can be overstated through discounts, services, or transaction revenueWhy NRR is becoming more important to investors and acquirersHow strong financial infrastructure can improve fundability and valuation---Stalled pipeline? Lost deals? Diagnose your GTM gaps with a free, actionable checkup. 

From years in the SEO trenches, today's guest knows what it takes to run successful strategies. Adrian Dahlin is the Founder & CEO of Search to Sale, an SEO analytics SaaS company providing automatic content intelligence for B2B, SaaS and marketing agencies.Adrian Dahlin is the Founder & CEO of Search to Sale, an SEO analytics SaaS company providing automatic content intelligence for B2B SaaS and marketing agencies. He began his entrepreneurial journey in 2020 after leaving corporate marketing to launch a startup consultancy, later evolving it into Search to Sale in 2023. Previously, Adrian worked in data science and marketing analytics after earning a Master's in Applied Data Science from NYU, and earlier in his career founded and led sustainability-focused ventures. CONTACT DETAILS:Email: gerardo@searchtosale.io Business: Search to SaleWebsite: https://www.searchtosale.io/ Social Media:LinkedIN: https://www.linkedin.com/in/adriandahlin/ LinkedIN Company: https://www.linkedin.com/company/search-to-sale-seo-revenue-generation-software/ Remember to SUBSCRIBE so you don't miss "Information That You Can Use." Share Just Minding My Business with your family, friends, and colleagues. Engage with us by leaving a review or comment. https://g.page/r/CVKSq-IsFaY9EBM/review Your support keeps this podcast going and growing.Visit Just Minding My Business Media™ LLC at https://jmmbmediallc.com/ to learn how we can help you get more visibility on your products and services. 

Send us Fan MailIn this episode of Sidecar Sync, Amith Nagarajan and Mallory Mejias unpack Google I/O 2026 and what it signals for the future of AI-powered work, search, and member engagement. They explore Google's push toward proactive, agentic AI across Gemini, Workspace, Search, and new infrastructure like Antigravity and TPU chips, while digging into what these changes mean for associations trying to protect their content, improve digital experiences, and stay relevant as members increasingly expect voice, multimodal interaction, intelligent search, and personalized service. The conversation also covers AI's impact on career advice, leadership, web traffic, SEO, smart glasses, privacy, and why associations may need to double down on trust, niche expertise, and human connection in an increasingly agent-driven world.

Dan Balcauski is the founder of Product Tranquility, where he helps B2B SaaS companies improve pricing, packaging, and monetization strategy.  In this episode, Dan breaks down the uncomfortable reality behind today's AI gold rush: buyers are tired of "AI-powered" hype, SaaS companies are struggling to monetize features nobody uses, and pricing teams are rewriting their strategies in real time. If your company is trying to monetize AI without becoming another forgettable AI feature, this episode will change how you think about pricing, adoption, and customer value.   Why You Have to Listen: Learn why AI features alone don't drive purchases — and how to position AI around customer outcomes people actually value. Discover the biggest AI pricing mistake SaaS companies are making — charging for features before customers build adoption habits. See how smart SaaS companies roll out AI strategically — using adoption-first pricing, early access models, and workflow-driven product design.   "Prove value with your new AI features before you throw a paywall in front of it." — Dan Balcauski    Topics Covered: 02:10 - "Freemium Is a Terrible Idea for Most SaaS Companies". Why most freemium models fail before companies fully understand the real costs behind them. 06:48 - Why AI Can't Automatically Set Your SaaS Prices. Dan explains where AI can help pricing teams and where human judgment still matters most. 09:53 - The Dangerous Truth About AI Pricing Advice. Most LLMs learned pricing strategy from bad SEO content and outdated thinking. 13:35 - The Adoption vs. Monetization Framework. The simple 2x2 model every SaaS company should use before pricing AI features. 17:34 - Margin Percentage vs. Margin Dollars. A smarter way for CFOs and SaaS leaders to think about AI profitability. 18:32 - "Buyers Don't Care That Your Product Uses AI". Why customers care more about outcomes and workflows than your AI technology. 24:31 - Why SaaS Companies Keep Changing AI Pricing. Most AI pricing models don't survive their first 18 months. 26:07 - The "Early Access" AI Pricing Strategy. How smart SaaS companies introduce AI features without hurting adoption. 29:24 - "Earn the Right to Monetize". Why proving customer value should happen before putting up a paywall.   Key Takeaways: "We need to prove our value first before we can monetize it." – Dan Balcauski   People / Resources Mentioned: Steven Forth — Mentioned as a trusted source of pricing expertise and strategic thinking. Anthropic Claude Code — Dan's primary AI workspace for research synthesis and pricing analysis. Readwise — Tool Dan uses to ground AI outputs using trusted expert highlights and notes. Salesforce — Referenced as an example of rapidly evolving AI pricing strategies. Pragmatic Institute — Mentioned during the discussion on product adoption and feature prioritization.   Connect with Dan Balcauski: Website: https://www.producttranquility.com/ LinkedIn: https://www.linkedin.com/in/balcauski/ X: https://x.com/dan_balcauski Podcast: https://podcasts.apple.com/us/podcast/saas-scaling-secrets/id1682338188   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: mark@impactpricing.com  

Most founders treat 'scale' like a switch you flip after raising a round: hire 14 reps, 10x the ad spend, and pray. About half scale too early and burn the runway, while the other half scale too late and get caught by a more aggressive competitor. Almost nobody can tell you, in measurable terms, when they're actually ready.In this episode, Yaniv Bernstein is joined by Mark Roberge - founding CRO at HubSpot (where he scaled the company from $0 to $100M ARR), senior lecturer at Harvard Business School, cofounder of Stage 2 Capital, and author of the new book 'The Science of Scaling'. Mark walks Yaniv through his impressive data-driven framework for scaling that he's spent a decade refining, covering how to objectively define product-market fit, why customer retention is the only honest measure of PMF, and how to instrument a Leading Indicator of Retention you can act on in week one.In this episode, you will:Learn why retention is the only honest measure of product-market fit, and why most founders are flying blind without itDiscover Mark's framework for building a Leading Indicator of Retention (LIR) you can measure in week one, using Slack, HubSpot, and Facebook as worked examplesHear Mark coach Yaniv through Vera's LIR in real time, and pick up a repeatable method for designing one for your own businessLearn the 'Stay/Go/Slow' model for pacing hires and spend post-raise, and why startups should reassess monthly or quarterly rather than locking in an annual planGet Mark's take on why 'paranoid optimism' is the trait that correlates most strongly with founder success, and the link between that trait and founder mental healthTimestamps00:00 Coming Up00:26 On Today's Show: The Science of Scaling01:47 Guest Intro: Mark Roberge02:31 Why Scaling Needs Data04:20 Eric Ries and Product Market Fit06:56 Retention as a North Star10:15 What Makes a Good Leading Indicator?15:00 Case Study: Vera (Yaniv's Startup)17:41 Choosing Frequency and Event23:55 Instrumenting and Unique Value31:12 Blitzscaling and Defining PET34:41 ICP Denominator Rules37:28 Segmenting By Product40:40 Go To Market Fit45:25 Dealing with Revenue-Focused Investor Pressure50:33 The Pace of Scaling56:07 About the Book, The Science of Scaling57:45 Founder Mental Health01:02:28 Closing ThoughtsResources in this episode:Mark Roberge on LinkedIn: https://www.linkedin.com/in/markroberge/‘The Science of Scaling: Using Data to Decide When — and How Fast — to Scale Revenue' by Mark Roberge: https://www.amazon.com/Science-Scaling-Revenue-Mark-Roberge/dp/1394319428Stage 2 Capital (Mark's B2B SaaS-focused venture firm): https://www.stage2.capital/Vera (Yaniv's startup): https://vera.guide/The PactHonor the Startup Podcast Pact! If you have listened to TSP and gotten value from it, please:Follow, rate, and review us in your listening appFollow us on YouTube for full-video episodes: https://www.youtube.com/@startup-podcastGive us a public shout-out on LinkedIn or anywhere you have a social media followingKey linksThis episode of the Startup Podcast is sponsored by .tech domains. Forget weird prefixes and creative misspellings; the availability for .tech domains is simply way better than .com. For a clean and memorable name, go to https://⁠get.tech/tspThis episode of the Startup Podcast is sponsored by Vanta. Vanta helps businesses get and stay compliant by automating up to 90% of the work for the most in demand compliance frameworks. With over 200 integrations, you can easily monitor and secure the tools your business relies on. For a limited time offer of US$1,000 off, go to ⁠⁠⁠⁠https://⁠www.vanta.com/tsp⁠⁠⁠⁠⁠ The Startup Podcast website: https://www.tsp.show/episodes/Follow Yaniv on Linkedin: https://www.linkedin.com/in/ybernstein/Producer: Justin McArthur https://www.linkedin.com/in/justin-mcarthurAssistant Producer: Steph Hefferan https://www.linkedin.com/in/steph-heff/Intro Voice: Jeremiah Owyang https://web-strategist.com/

Consumption pricing puts pressure on the forecast in places traditional SaaS models rarely exposed. Total usage may be easier to model from the CFO's seat, but the field still has to answer harder questions: which customer, which channel, which rep, and when. In this replay segment, Devavrat Shah explains how AI can help teams learn across cohorts, spot patterns in uneven data, and create more trust in a forecast that would otherwise depend on isolated judgment calls.  Devavrat Shah is an MIT professor, director of MIT's Statistics and Data Science Center, and co-founder and CEO of Ikigai Labs. He brings a data science and operator's perspective to forecasting, consumption pricing, and enterprise AI. Connect with Devavrat: LinkedIn Listen to the full episode here: Understanding AI Through History and Practical Application with Devavrat Shah Hosted by five-time CRO John McMahon and Force Management Co-Founder John Kaplan, the Revenue Builders podcast goes behind the scenes with the sales leaders who have been there, done that, and seen the results. This show is brought to you by Force Management. We help companies improve sales performance, executing their growth strategy at the point of sale. Connect with Us: LinkedInYouTubeForce Management

Get the 3 prompts (research + classify, gift ideas, note writer) in my paid newsletter here.---In this episode, I break down the 2-step ABM gifting system you can run on your top 200 accounts. How to find the clue. How to classify the prospect into one of four buckets (Identity, Passion, Milestone, or No Gift). How to pick a gift that maps to the specific niche. And how to write the note that proves the research wasn't AI-generated.--If you're new here, I'm Elric Legloire, founder of Outbound Kitchen. I help B2B SaaS companies between $2M and $50M ARR fix and scale their outbound system. My view: in 2026, productivity is the multiplier to scale outbound teams.Menu:- Why a $300 researched gift is cheaper than the cold email sequence you'd run into a $200K to $1M ARR account- The 4-bucket prospect classification: Identity, Passion, Milestone, No Gift (and why ~70% land in No Gift)- The specificity ladder: vague vs. niche vs. Passion vs. Signature clues, and which two qualify for a gift- Where to find Signature clues: LinkedIn About sections, podcast appearances, keynotes, blogs, book forewords- A worked example on Kyle Norton (CRO at Owner.com). From clue ("former MMA gym co-owner, black belt") to gift (personalized oak belt display from Etsy with his "Slow is smooth. Smooth is fast." quote)- The 5-part note template: research proof, rabbit hole, gift bridge, pitch + proof, soft ask- Why Perplexity beat ChatGPT for clue research this round, and why you should keep benchmarking AI modelsReferenced:- Stevie Case (CRO, Vanta), Quake rocket launcher gift, sent by Brennan- Tom (CMO, Incident.io), signed vinyl gift- Newsletter with the 3 prompts (research + classify, gift ideas, note writer): https://newsletter.outbound.kitchen/p/abm-how-to-gift-your-top-200-accountsChapters(00:00) Why Gifting Works(01:37) ABM Outbound Fit(02:41) Step One Find Clues(03:29) Clue Buckets Framework(04:41) Avoid Creepy Research(05:38) Make Clues Specific(06:55) Where To Research(07:17) Kyle Norton Example(09:51) Decision Tree Choices(10:40) Step Two Gift Ideas(11:56) Personalized Gift Build(13:24) Write The Note(14:58) Note Template--When you're ready⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Want to work with me? Send me a DM⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ---Connect with me⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Send us Fan MailIn this episode of Sidecar Sync, Amith Nagarajan and Mallory Mejias dig into two major shifts happening beneath the surface of AI: how enterprise software vendors are responding to the rise of AI agents, and why diffusion language models may be moving from research curiosity to real-world infrastructure faster than expected. They unpack Salesforce's open, agent-friendly “Headless 360” strategy, SAP's more restrictive API stance, and what these moves mean for associations trying to maintain control over their data. Then, they revisit diffusion LLMs through the lens of Inception Labs' Mercury 2, exploring why faster, cheaper models could matter for voice agents, enterprise search, taxonomy work, content classification, and the future of model flexibility.  

Today, we're joined by Dan Balcauski, Founder and Chief Pricing Officer of Product Tranquility, a consulting firm that helps high-volume B2B SaaS CEOs define pricing and packaging for new products. We talk about:How adding AI doesn't always increase valueThe growing importance of discerning what you should buildWhy you should expect to get the pricing of AI capabilities wrong out of the gateWhy charging per tokens is pouring sand in the gas tank of your GTM engine How it's also showing your customers your underpantsCommon bad pricing decisionsThis is Dan's second appearance on SaaS Scaled. You can watch his first episode, “Pricing is Simple, But Not Easy. Dan Balcauski Answers Hard Questions.

Andrej Persolja built a product with a 4.9-star rating and real clinical proof it worked. He launched in one market and it took off. He then launched to the US and nothing happened. No customers. No conversions.Four years and tens of thousands in ad spend with almost nothing to show for it. He eventually figured out why. Then he ran a structured test. One thing changed. Revenue went up 200%. His cost to acquire a customer dropped by more than half. He left the startup and built a consulting practice around what he learned.He then went on to take another company from $200K to $2M in annual revenue in five months. And in this episode we cover the startup growth playbook, From research to market positioning to client acquisition.This conversation covers:what he learned about why products stop sellinghow he identifies growth levers most teams misswhat customer research actually looks like when it worksand what he did when things were at their worstEnjoy!

For Mother's Day, Tye DeGrange hands the mic to his mom — Ginger DeGrange. Rodeo queen. Horse trainer. Summer camp founder. 36-year instructor who's taught 10,000+ students the art of horsemanship at Santa Rosa Junior College. This one's full of great stories: the OJ Simpson trail ride, a student who went on to dine with the Queen of England, competing at the Grand National, and the old reinsman who taught Ginger that quiet confidence beats loud energy every time. Plus real lessons on building confidence, earning trust, and leading with feel — on and off the horse.

This week's throwback episode guest studied Sociology, Cultural Relations and Global Politics at University of Montana before taking the jump into B2B Sales and Marketing where she has spent most of her career. She has been a Sales Director, Head of Sales, Employee #1 to CRO all leading up to the work she does now as the Founder of Sales-Led GTM Agency. At Sales-Led GTM Agency, she focuses on building the outbound sales strategy, processes & skill sets your sales-led organization needs to thrive, and provides B2B Sales Training & GTM Consulting for B2B SaaS & Service orgs between 15 - 50 M in annual revenue. Last time we spoke, she just left corporate, but since then has been building in public, and now we are 2 years in and will be talking about her journey today! Please join me in welcoming Leslie Venetz to The 20% Podcast. In this week's episode, we discussed:Trusting Your Gut Why Become An EntrepreneurA New Wave of EntrepreneursGet Clear On WorkGetting Specific With Your AsksMuch MorePlease enjoy this week's episode with Leslie VenetzI am now in the early stages of writing my first book! It will cover my journey into sales, the lessons learned, and include stories and advice from top sales professionals around the world. I'm excited to share these interviews and bring you along on this journey!Like the show? Subscribe to the email: Subscribe HereI want your feedback! Reach out at 20percentpodcastquestions@gmail.com or connect with me on LinkedIn.If you know anyone who would benefit from this show, please share it! If you have suggestions for guests, let me know!Enjoy the show!

Dave "CAC" Kellogg and Ray "Growth" Rike dig into the Redpoint Ventures 2026 Software and AI Market Update - a 69-page report built on proprietary CIO survey data from 141 respondents, plus public market data from Qatalyst, Pitchbook, Goldman Sachs, RBC, and McKinsey. Big report with even bigger implications. Ray and Dave unpack the data that matter most for B2B SaaS and AI-native software operators.WHAT WE COVER IN THIS EPISODEThe AI Build-Out Is Real and It's Not the Dot-Com BubbleHyperscaler CapEx is projected to hit $765B in 2026, up nearly 50% year over year. More than 90% of new data center capacity is already pre-committed. Compare that to the dot-com era when fiber utilization was under 3%. The other critical difference: today's infrastructure spend is funded primarily by free cash flow, not debt. The more important signal is demand. AI has reached 1 billion monthly active users in four years. The internet took far longer to reach 70 million. The demand is real. The risk of speculative overbuild is also real.The Agent Maturity Curve and Why Most of the Value Is Still AheadPage 7 of the report maps the four phases of agent maturity by runtime: co-pilots (seconds), task agents (minutes), workflow agents (hours), autonomous agents (days). Co-pilots represent roughly $500B in software spend. Task agents, where coding tools live today, push that to $1.2T. Workflow agents expand the TAM to $2.8T. Autonomous agents take it to $6.1T. Coding has been the beachhead use case for good reasons: structured training data, instant verification, self-improving feedback loops. The real enterprise revenue opportunity is still in phases three and four.What the CIO Survey Actually Says This is the buried lead of the report. 54% of CIOs are actively consolidating vendors. 45% of AI budgets are coming from existing software budgets, not net-new spend. 58% say AI feature additions are the top driver of incremental software spend. 54% prefer to stay with incumbent vendors if they deliver on AI. Only 13% have a strong preference for AI-native software. The 33% who are neutral are the swing vote. Incumbents are winning the preference battle but losing the execution battle — the CIO feedback on Agentforce, Copilot, and ServiceNow AI in the survey is not flattering.Terminal Value Is the Real SaaS Valuation StoryThe public SaaS median NTM revenue multiple sits at 4.1x (Meritech says 3.1x), the lowest since the global financial crisis. In a SaaS DCF, 85 to 95% of enterprise value comes from terminal value, not the five-year forecast. The implied long-term growth rate embedded in current SaaS valuations has collapsed from 4.7% to 1.1%. Short-term beats like ServiceNow's recent quarter do almost nothing to move the stock because the market's concern is not next year. It's year ten and beyond. That is a terminal value story, not a growth story.ARR Per Employee - The Benchmark EvolvesCursor and Anthropic hit $100M ARR in roughly two years. Slack took three. Salesforce and Adobe took four to five. ServiceNow took seven to eight. AI-native companies have made $1M revenue per FTE the new floor. The P&L transformation model in slide 39 projects R&D costs down 15 to 20%, sales costs down 15 to 20%, COGS increasing due to inference spend but offset by reductions in customer support and customer success. Net result: potential EBITDA expansion of 100 to 250% on the same revenue base over three to five years.Private Markets Are in an AI Love FestAI-native deals represent nearly 100% of new VC activity in Q1 2026. Deal concentration is accelerating: the top 20 deals captured 44% of total funding in 2025, up from 31% in 2024 and 7% in 2022. At the model layer, dollars and valuations are concentrated while deal volume belongs to the application layer (61% of deals). The model competition is effectively over. The only question is rank order. The application layer is where the volume plays out, and AI-native vendors are winning that battle.Redpoint 2026 Software and AI Market Update: https://www.redpoint.com/reports/2026-market-updateABOUT THE METRICS BROTHERS Ray Rike is the Founder and CEO of Benchmarkit, the leading B2B SaaS and AI-native software benchmarking company. Dave Kellogg is an EIR at Balderton Capital, independent consultant, and author of Kellblog. Together they bring a CFO-meets-GTM lens to the metrics and benchmarks that drive efficient revenue growth and enterprise value.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Is the Marketing Qualified Lead (MQL) dead, or are marketing teams stuck in a cycle of high-volume, low-return efforts?Marketing economics have undergone significant structural shifts in recent years. With the disappearance of global labor arbitrage and the rise of AI-generated content, the costs of customer acquisition and inbound marketing have skyrocketed. Because of these changes, the once-dominant metric of the MQL is rapidly losing its relevance in today's B2B SaaS environment.In this episode of B2B SaaS Marketing Snacks, Brian Graf, Executive CMO of Kalungi, sits down with Stijn Hendrikse, Kalungi's co-founder and ex-Microsoft product marketing leader, to unpack the risks of over-reliance on MQLs. They talk through why marketing teams can no longer win on sheer quantity and speed alone, and how AI and globalization have completely changed the playing field.You'll hear why focusing on "big plays"—low volume, high depth strategies like flagship events or deep partnerships—is key to sustainable growth. Brian and Stijn also detail practical frameworks for shifting away from the high-volume "MQL trap" and moving toward metrics that actually matter: pipeline value and signal-to-noise ratio. By focusing on these deeper, quality-led strategies, marketing teams can flatten the problem of labor arbitrage and AI ubiquity.In this podcast, you'll learn:Why the once-dominant MQL is losing its relevance in the B2B SaaS environment.How the end of global labor arbitrage and the rise of AI have heavily inflated marketing and customer acquisition costs.The dangers of the "MQL trap," where teams are forced to execute high-volume, high-depth campaigns with diminishing returns.Why shifting to "big plays"—low volume, high depth strategies—is the key to sustainable growth.How to transition your tracking from MQLs to measuring the actual dollar value created in your pipeline.The importance of structuring a leaner marketing team that focuses on signal-to-noise ratio and quality-led strategies.By the end, you'll have a clearer view of why the old inbound playbooks are failing and how to build a quality-led, pipeline-focused go-to-market strategy that cuts through the noise.Chapters:00:00 The Death of the MQL08:20 Shifts in Marketing Economics15:29 The Big Play Quadrant20:49 New Metrics for Success25:44 Team Dynamics and Marketing CostsABOUT B2B SAAS MARKETING SNACKSSince 2020, The B2B SaaS Marketing Snacks Podcast has offered software company founders, investors and leadership a fresh source of insights into building a complete and efficient engine for growth.Meet our Marketing Snacks Podcast Hosts:  Stijn Hendrikse: Author of T2D3 Masterclass & Book, Founder of KalungiAs a serial entrepreneur and marketing leader, Stijn has contributed to the success of 20+ startups as a C-level executive, including Chief Revenue Officer of Acumatica, CEO of MightyCall, a SaaS contact center solution, and leading the initial global Go-to-Market for Atera, a B2B SaaS Unicorn. Before focusing on startups, Stijn led global SMB Marketing and B2B Product Marketing for Microsoft's Office platform.Brian Graf: Executive CMO at KalungiAs a CMO at Kalungi, Brian provides high-level strategy, tactical execution, and business leadership expertise to drive long-term growth for B2B SaaS. Brian has successfully led clients in all aspects of marketing growth, from positioning and messaging to event support, product announcements, and channel-spend optimizations, generating qualified leads and brand awareness for clients while prioritizing ROI. Before Kalungi, Brian worked in television advertising, specializing in business intelligence and campaign optimization, and earned his MBA at the University of Washington's Foster School of Business with a focus in finance and marketing. Visit Kalungi.com to learn more about growing your B2B SaaS company.

In this podcast episode, Diane Wiredu, Founder and Messaging Strategist for Lion Works, underscores the significance of this key element. Diane breaks down a step by step guide on effective messaging, while also providing insights on engaging customers and growing products.Our HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Stage 2 Capital General Partner Liz Christo joins the show to discuss the disconnect between venture expectations and reality in the software market. The conversation covers the hidden costs of the new build versus buy debate, the structural changes happening within modern sales organizations, and whether traditional B2B SaaS go-to-market strategies and moats still matter when AI coding tools make software replication cheaper than ever. Key Takeaways: -The shift toward building internal AI tools instead of buying SaaS products overlooks long-term technical debt, as Liz Christo points out that "there's like a huge amount of cost buried behind the scenes that we're not really talking about today because it's still like sexy and fun." -Founders are artificially inflating their Total Addressable Market to meet new venture capital baseline expectations, with Liz Christo noting that "pitch decks read like really ridiculous right now where everybody wants to tell the story of like a $10 billion outcome because that's the new milestone that got set." -Revenue Operations is becoming the most direct path to the Chief Revenue Officer seat in AI-first organizations, which Sam Jacobs explains is "because as we use fewer humans and more agents, the sort of the half technical, the semi-technical capabilities of most RevOps people will translate into orchestrating armies of agents." -Delegating analysis and writing to AI risks destroying strategic judgment across go-to-market teams, a trend Liz Christo summarizes by stating, "I think we are producing an incredible amount of content that's not getting consumed... I just think we're like losing the ability to think and we're not teaching junior employees how to do it." Connect with the Hosts & Guests: Host: Sam Jacobs - https://www.linkedin.com/in/samfjacobs/  Host: AJ Bruno - https://www.linkedin.com/in/ajbruno3/  Host: Asad Zaman - https://www.linkedin.com/in/azaman1/  Guest: Liz Christo - https://www.linkedin.com/in/lizchristo/   Topline is more than a YouTube Channel: Subscribe to Topline Newsletter: https://toplinemedia.substack.com/ Tune into 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 Intro and Cold Open 02:41 The New Build vs Buy Debate 06:10 Engineers in Every Department 10:48 Pitch Decks and 10B Dollar TAMs 17:53 Venture Capital Funding Quiz 23:43 AI Memos and Critical Thinking 42:41 Software Moats and Switching Costs 47:46 Bulls vs Bears Segment 48:23 RevOps as a Path to CRO 51:25 The Future of SDR Managers 55:14 Is Clay Actually Undervalued 59:12 Odds of Hitting 50M ARR  

Does AI really break B2B positioning, or is it exposing deeper product problems? In this roundtable, Refine Labs' VP of Innovation Matt Sciannella sits down with Fletch PMM founders Anthony Pierri and Rob Kaminski to unpack what's actually happening when companies try to position themselves for the AI era.They cover why AI mandates from VCs create confusion (not clarity), how Intercom, Palantir, Salesforce, and Owner.com handle multi-product positioning, and why delegating positioning to LLMs is a race to mediocrity.What is product positioning in B2B SaaS?Product positioning defines who your product is for, what problem it solves, and why it's different from alternatives. It's the upstream decision that drives homepage messaging, paid media, and GTM clarity.How does AI affect B2B positioning strategy?AI doesn't break positioning fundamentals — it adds market uncertainty and product pressure. Companies still must answer: what problem do you solve, for whom, and better than what?Can AI write your positioning for you?No. LLMs can accelerate research and fill in details, but they can't generate non-obvious strategy from scratch. They're best used when humans provide 80% of the thinking first.Why do multi-product companies struggle with positioning?Most markets are fragmented. Customers think narrowly — they're not shopping for "everything." Leading with one clear use case (like Apple with iPhone, Owner.com with restaurant grading) outperforms breadth.What is a go-to-market positioning framework?A GTM positioning framework defines your category, ideal customer profile (ICP), competitive alternatives, differentiated value, and homepage message — in that order, before messaging or campaigns.#b2bmarketing #ProductPositioning #GTMStrategy #B2BSaaS #DemandGeneration #ProductMarketing #AIMarketing #ContentMarketing #SaaSMarketing #RefineLabsRoundtable #FletchPMM #MarketingStrategy #ICPMessaging #HomepageCopywriting #GoToMarket

Dave "CAC" Kellogg and Ray "Growth" Rike tell the full story of how Intercom, a $400M ARR company that stalled at 4% growth, executed one of the most dramatic AI-first transformations in B2B SaaS. From writing off tens of millions in ARR to building a proprietary vertical AI model, this episode breaks down what it actually took to reinvent a mature SaaS business from the ground up.Topics CoveredFrom 4% to 26% Growth: The Numbers Behind the Turnaround. Intercom hit rock bottom with five straight quarters of declining net new ARR before founder Eoghan McCabe returned and went all in on AI following the ChatGPT launch in November 2022. Ray and Dave walk through the growth trajectory and what made the timing of the reset both urgent and actionable.The "Burn the Ships" Organizational Decision. Intercom rotated roughly 80% of its R&D team onto the new AI product, deliberately wrote off 50 to 60 million in ARR, and created small startup-like teams of 10 to 15 people with directly responsible individuals leading each workstream. Ray and Dave discuss why half-measures fail and how a stuck business actually has an advantage: very little to lose.Board Dynamics and Why Committees Kill Bold Moves. Dave shares a candid take on how PE boards versus VC boards respond differently to dramatic pivots, and why the committee nature of multi-partner VC boards tends to drive toward measured, middle-ground responses that often produce no real outcome.AI Economics: Gross Margins, Inference Costs, and Building Your Own Model. The shift from SaaS to AI-native changes the cost structure fundamentally. Ray puts current gross margin ranges in context (40 to 55% for pure AI-native, 55 to 70% for blended), explains why inference spend is actually rising despite lower per-token costs, and discusses why Intercom built its own vertical customer agent model for both performance and COGS optimization.Outcome-Based Pricing and the 99-Cent Resolution. Customer support is one of the clearest use cases for outcome-based pricing because the natural unit is obvious: a resolved ticket. Ray and Dave break down how Intercom priced Fin at 99 cents per resolution, validated the model against an 81% internal resolution rate, and watched NRR climb from 112% to 146% as adoption scaled across 8,000 customers.Never Waste a Good Crisis. Dave frames the broader lesson for SaaS CEOs: two paths exist now, dramatic AI reinvention or a Rule of 60/70 efficiency play. The Intercom story illustrates what the reinvention path actually demands. Ray adds that many SaaS companies sitting at 10% growth and 25% EBITDA are already in a slow-moving crisis and just haven't admitted it yet.If you lead a B2B SaaS company navigating the shift to AI, this episode is the most concrete case study available on what full commitment actually looks like in practice. Ray and Dave go beyond the headlines to examine the organizational design, board dynamics, cost structure, pricing model, and retention metrics behind Intercom's transformation. Whether you are considering an AI-first pivot or trying to understand why incremental approaches tend to stall, this episode gives you the analytical framework and the real numbers to think it through.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of Predictable B2B Growth, Javier sits down with Nick Turner, CEO of Dreamdata, to break down what it really takes to build predictable growth in today's B2B landscape.Nick shares lessons from leading Dreamdata through a $55M Series B raise, including why focus—not expansion—is the key to scaling, and the metrics that actually matter to investors: growth rate, gross retention, and burn efficiency.They also dive into the reality behind AI hype, why most companies misunderstand its role in go-to-market, and how businesses should think about delivering real customer value instead of chasing buzzwords.The conversation explores the growing importance of brand, the long B2B buying cycle, and why over-reliance on short-term demand generation can quietly kill pipeline. Nick also challenges how sales and marketing teams use automation, emphasizing that while marketers can scale communication, sales still depends on genuine human interaction.At its core, this episode is about cutting through noise—focusing on the right customers, solving real problems, and building a growth engine that's actually sustainable.Key Topics and TakeawaysFundraising strategies for Series BThe role of AI in SaaS growthImportance of customer feedback and focusPredictability in growth metrics is crucial for Series B success.AI is a tool to deliver value, not a buzzword to chase.Focus on a specific market segment to dominate before expanding.Listening to customers is the most reliable way to build products.Chapters00:00 Introduction to Nick Turner and Dream Data01:51 Fundraising Journey and Predictability Metrics04:47 The Role of AI in Business07:55 Listening to Customers and Market Feedback11:20 Navigating Investor Conversations13:11 Defining Predictable Growth16:27 Focus and Market Positioning20:37 Metrics for Success and Burn Multiple22:44 The 30-Day Blackout Challenge23:45 The Sales Cycle and Brand Awareness26:34 Marketing and Sales Alignment29:43 The Evolving Role of Sales32:43 AI in Marketing vs. Sales39:23 Customer-Centric Growth StrategiesResources & LinksDream Data - https://dreamdata.ioNick Turner LinkedIn - https://linkedin.com/in/nickturnerChet Holmes - The Ultimate Sales Machine - https://www.amazon.com/Ultimate-Sales-Machine-Target-Profits/dp/1591842158Send us Fan Mail Thanks for listening to Predictable B2B Growth.Want predictable pipeline (not random acts of marketing)? Run the Predictable Pipeline Diagnostic (15 min): https://boldermediasolutions.com/pipeline Subscribe to the newsletter: https://boldermediasolutions.com/newsletter Book a strategy call: https://boldermediasolutions.com/strategyMore episodes + show notes: https://boldermediasolutions.com/podcastConnect with Javier:LinkedIn: https://www.linkedin.com/in/javierlozanojr/ Website: https://boldermediasolutions.comIf the show helps, follow + leave a rating/review.

Evan Spiegel, the co-founder and CEO of Snap, is one of the very few people in the world who has successfully built and scaled a lasting consumer social product. Snapchat has nearly 1 billion MAUs, and Evan and his team invented some of the most important consumer products and features, including Stories, AR glasses, swipe-based navigation, the camera as the primary UX, and a lot more.In our in-depth conversation, we discuss:1. Why distribution is now the biggest challenge for creating a consumer technology business2. How Snap innovates at scale with a 9-to-12-person design team: no titles, no hierarchy, hundreds of ideas reviewed weekly with the CEO3. Why a pure software business is no longer a moat, and what actually creates durable competitive advantages today4. How AI is changing the way designers work and why they're now shipping code5. Why every major Snap feature was copied and how that forced the company to work differently6. Evan's prediction that humanity's comfort with AI will be a bigger bottleneck than the technology itself7. This year's crucible moment for Snap—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lennyVanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/snapchat-ceo-why-distribution-is—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Evan Spiegel:• X: https://x.com/evanspiegel• Snapchat: https://www.snapchat.com/@evan• LinkedIn: https://www.linkedin.com/in/evan-spiegel• Website: https://www.spiegelfamilyfund.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Evan Spiegel(02:28) Why consumer social products are so hard to build(04:31) How Snapchat cracked distribution with close friends, not network size(05:50) Why distribution is the new moat in the AI era(08:39) Snapchat's innovation track record (and why software isn't a moat)(11:39) Why Snap is betting on two of the hardest businesses: consumer social and hardware(16:00) Specs use cases(17:56) The innovation process(21:34) The velocity of design work at Snapchat(25:07) Why Evan says you must talk to customers(26:06) The origin story of Stories(28:25) How screenshot detection saved early Snapchat(31:03) Why they waited to hire PMs—and what role they play now(34:41) How AI is shifting the designer-PM-engineer triad(36:10) Design as an intentional bottleneck for product cohesion(37:24) Why staying close to customers matters for any leader(39:39) What Evan looks for when hiring designers(41:57) How to develop young design talent(44:16) Designers shipping code with AI—and the guardrails needed at scale(47:20) Using jobs-to-be-done to organize AI transformation(48:50) How the CEO job has changed over 15 years(51:30) Learning to communicate(54:08) Why this year is Snapchat's “crucible moment”(56:22) Being the “middle child” in tech(57:51) Screen-time philosophy with four kids (ages 2 to 15)(1:01:08) AI Corner(1:04:02) Contrarian Corner(1:06:04) Lightning round and final thoughts—References: https://www.lennysnewsletter.com/p/snapchat-ceo-why-distribution-is—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Rigvi breaks down what truly useful AI looks like, grounded in outcomes like spend optimization, revenue protection, and predictive maintenance, not just convenience features or marketing buzz. He also makes the case that AI won't replace FM professionals, it will finally let them do the job they were always meant to do. Welcome to Elevating Brick and Mortar. A podcast about how operations and facilities drive brand performance. On today's episode, we talk with Rigvi Chevala, Chief Product and Technology Officer at ServiceChannel. With over 20 years in B2B SaaS across industries ranging from local marketing to trucking to real estate, Rigvi brings a uniquely cross-industry lens to the challenges and opportunities facing facilities management today. Guest Bio: Rigvi is an experienced management executive with strong leadership skills and over 20 years of experience in software and product development and has led multiple product lines with >$200M in ARR. He manages and and executes product roadmaps and organizational strategy with experience in evolving B2B SaaS products and reusable digital platforms. TIMESTAMPS: 00:52 - About ServiceChannel 04:19 - What surprised Rigvi about facilities 08:47 - Key unsolved challenges in the industry 11:37 - Defining useful AI vs. marketing noise 15:08 - Breaking down AI types (generative, agentic, computer vision) 28:33 - Why 90% of AI initiatives fail 33:54 - Will AI replace FM roles? 39:37 - Advice for leaders evaluating AI tools SPONSOR: ServiceChannel brings you peace of mind through peak facilities performance. Rest easy knowing your locations are: Offering the best possible guest experience Living up to brand standards Operating with minimal downtime ServiceChannel partners with more than 500 leading brands globally to provide visibility across operations, the flexibility to grow and adapt to consumer expectations, and accelerated performance from their asset fleet and service providers. LINKS: Connect with Rigvi on LinkedIn Connect with Sid Shetty on Linkedin Check out the ServiceChannel Website Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Cat Wu is Head of Product for Claude Code and Cowork at Anthropic, building one of the most important AI products of this generation. Before joining Anthropic, Cat spent years as an engineer and briefly worked in VC. Today, she's interviewing hundreds of product managers who are trying to break into AI—and seeing firsthand what separates those who thrive from those who fall behind.We discuss:1. How Anthropic's shipping cadence went from months to weeks to days2. The emerging skills PMs need to develop right now3. Why you need to build products that don't yet fully work, so you're ready when the next model closes the gap4. Cat's most underrated AI skill: asking the model to introspect on its own mistakes5. Why Claude's personality is core to its success6. Why Anthropic's mission alignment eliminates the friction that slows most large organizations7. Why “just do things” is the most important principle for working at AI-native companies—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVanta—Automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/why-half-of-product-managers-are-in-trouble—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Cat Wu:• X: https://x.com/_catwu• LinkedIn: linkedin.com/in/cat-wu• Newsletter: https://catwu.substack.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Cat Wu(01:29) Working with Boris Cherny(04:29) What Anthropic looks for when hiring PMs(06:18) How to help your teams move fast(08:58) How PRDs and roadmaps have evolved at Anthropic(10:28) The Mythos model and Anthropic's shipping velocity(11:54) What happened with the Claude Code source code leak(12:53) Integrating with OpenClaw(14:19) How the PM team is structured at Anthropic(15:42) How engineer and PM roles are merging(17:54) Why product taste is the most valuable skill(20:10) Where human brains will continue to be useful(22:23) How to stay sane in constant chaos(24:16) What gets sacrificed when you ship so fast(27:47) The /powerup command(28:32) Why Anthropic has been so successful(32:28) When to use Claude Code vs. Desktop vs. Cowork(35:58) Tips for getting started with Cowork(38:44) Demo: Using Cowork to build slide decks overnight(41:48) Cat's PM tech stack and internal tools(46:47) Which teams use the most tokens(51:15) The emerging skills PMs need for AI companies(55:00) Why building evals is underappreciated(58:44) Why Claude's character and personality matter so much(1:00:44) How new models force product changes(1:05:11) The vision for Claude Code and Cowork(1:07:22) Advice for thriving in an AI-driven world(1:09:18) Why 95% automation isn't good enough(1:11:58) Build apps you use every day, not prototypes(1:13:41) The divide between AI skeptics and believers(1:15:19) Lightning round—Referenced: https://www.lennysnewsletter.com/p/how-anthropics-product-team-moves—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Nikhyl Singhal is the founder of The Skip, a community for senior product leaders; a former product exec at Meta, Google, and Credit Karma; and a many-time founder. He's also one of the most honest, unfiltered voices on what's actually happening in product management right now.In our in-depth conversation, we discuss:1. Why the next two years will be the most chaotic period in product management history2. Why half of current product managers are at risk, and what separates those who'll do well3. Why you need to find your “moments of joy” with AI4. The “smiling exhaustion” he's seeing across the product community5. The psychological barriers that prevent people from reinventing themselves6. Why your resume's fancy logos matter less than ever, and what matters now7. His prediction that companies will shed 30,000 people and rehire 8,000—all AI-first—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVanta—Automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/why-half-of-product-managers-are-in-trouble—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Nikhyl Singhal:• LinkedIn: https://www.linkedin.com/in/nikhyl• X: https://x.com/nikhyl• Podcast & Newsletter: https://skip.show• Skip Community: https://skip.community• Skip Coach: https://skip.coach• Skip.help: https://skip.help—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Nikhyl Singhal(02:25) The big picture: what's changing for product managers(10:00) Are product leaders doing better than 2-3 years ago?(11:44) What will change in the next couple of years(14:23) How companies are changing the way they build products(15:51) What “judgment” really means for PMs(17:46) Why there won't be any more bad software(20:25) The skills you need to be effective today(23:31) Why there are more PM roles than ever(24:27) The builder versus information-mover divide(30:14) The non-builder problem(30:53) Should PMs code?(34:15) Why experienced leaders still matter(35:44) The diversity setback nobody's talking about(37:21) Why your brand doesn't matter as much anymore(39:54) How valued skills are flipping upside down(40:49) Why change is so hard for humans(43:53) The “equal disappointment” algorithm(46:39) You must cross the threshold(48:37) This chaos will settle(53:19) Finding your moment of joy(58:50) Nikhyl's AI stack and what he's building(1:00:53) The obsolescence mindset(1:05:24) Specific advice for PMs right now(1:08:58) The four jobs that will exist in the future(1:11:59) Why alignment is changing (but not disappearing)(1:15:40) How engineering is changing even more than PM(1:17:04) The surprising design plateau(1:18:49) Finding optimism in the chaos(1:21:12) Lightning round—Referenced:• Building a long and meaningful career | Nikhyl Singhal (Meta, Google): https://www.lennysnewsletter.com/p/building-a-long-and-meaningful-career• COBOL: https://en.wikipedia.org/wiki/COBOL• United Airlines: https://www.united.com• State of the product job market in early 2026: https://www.lennysnewsletter.com/p/state-of-the-product-job-market-in-ee9• Head of Growth (Anthropic): “Claude is growing itself at this point” | Amol Avasare: https://www.lennysnewsletter.com/p/anthropics-1b-to-19b-growth-run• Demis Hassabis on X: https://x.com/demishassabis• Sam Altman on X: https://x.com/sama• Dario Amodei on X: https://x.com/DarioAmodei• Cross on Prime Video: https://www.amazon.com/Cross-Season-1/dp/B0D6X7ZZHC• Jack Ryan on Prime Video: https://www.amazon.com/Tom-Clancys-Jack-Ryan/dp/B0CNDCMN8R• 24 on Prime Video: https://www.amazon.com/24-Season-1/dp/B000HPF85A• Claude Code: https://code.claude.com• Codex: https://chatgpt.com/codex• Lovable: https://lovable.dev• Sonos: https://www.sonos.com• “There are only four jobs” on X: https://x.com/yrechtman/status/2039012253341495462• Paradise on Hulu: https://www.hulu.com/series/paradise-2b4b8988-50c9-4097-bf93-bc34a99a5b4f• Lioness on Paramount+: https://www.paramountplus.com/shows/lioness• Tesla: https://www.tesla.com• Albert Einstein's quote: https://www.goodreads.com/quotes/115696-genius-is-1-talent-and-99-percent-hard-work—Recommended books:• James: https://www.amazon.com/James-Novel-Percival-Everett/dp/0385550367• The Adventures of Huckleberry Finn: https://www.amazon.com/Adventures-Huckleberry-Finn-Unabridged-Uncensored/dp/195483943X—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Keith Rabois was an early executive at PayPal (part of the famous PayPal Mafia), COO at Square, VP of Corporate Development at LinkedIn, and an early investor in Stripe, DoorDash, Airbnb, YouTube, Ramp, and Palantir. Currently he's managing director at Khosla Ventures. Also, he hasn't touched a computer since September 2010 (he does everything from an iPad).In our in-depth conversation, Keith shares:1. The barrels vs. ammunition hiring framework (and how to spot barrels)2. Why talking to customers is actively harmful for consumer products3. How to identify undiscovered talent4. Why the PM role is dying5. The three traits of the best-performing companies right now6. The specific interview question he asks every senior candidate7. Why CMOs (not engineers) are becoming the #1 consumer of tokens—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVanta—automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/hard-truths-about-building-in-the-ai-era—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Keith Rabois:• X: https://x.com/rabois• LinkedIn: linkedin.com/in/keith• Website: https://www.khoslaventures.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Keith Rabois(01:59) Why Keith hasn't used a computer since 2010(04:52) The team you build is the company you build(07:40) How Keith learned to identify talent at PayPal(10:05) Tactics for getting better at hiring(15:31) The barrels vs. ammunition framework(18:52) What makes someone a barrel(22:36) How to attract the best talent(26:18) Building companies on undiscovered talent(27:53) Why better performance requires more pressure(32:36) Career advice in the age of AI(35:14) The future of the product triad(41:03) Why design and code are merging(49:35) What practicing law taught Keith about entrepreneurship(51:22) Contrarian takes on customer feedback(1:02:33) Identifying great AI opportunities(1:05:13) Advice for evaluating statrups (1:12:36) Criticizing in public vs. private(1:15:05) Failure corner(1:17:29) Lightning round—Referenced:• Square: https://squareup.com• Jack Dorsey on X: https://x.com/jack• Head of Claude Code: What happens after coding is solved | Boris Cherny: https://www.lennysnewsletter.com/p/head-of-claude-code-what-happens• Simon Willison's Weblog: https://simonwillison.net• Vinod Khosla on X: https://x.com/vkhosla• Peter Thiel on X: https://x.com/peterthiel• Max Levchin on X: https://x.com/mlevchin• David Sacks on LinkedIn: https://www.linkedin.com/in/davidoliversacks• Tony Xu on X: https://x.com/t_xu• David Sze on X: https://x.com/davidsze• Faire: https://www.faire.com• Max Rhodes on X: https://x.com/MaxRhodesOK• Jeffrey Kolovson on LinkedIn: https://www.linkedin.com/in/jeffreykolovson• Uncapped | Comparative Advantages w/ Keith Rabois: https://www.khoslaventures.com/posts/uncapped-comparative-advantages-w-keith-rabois• Lattice: https://lattice.com• Taylor Francis on LinkedIn: https://www.linkedin.com/in/taylor-francis-4ba49640• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein• The art of hiring: insights from Khosla Ventures, Airbnb, Ramp and Traba: https://ramp.com/velocity/the-art-of-hiring-insights• Eric Glyman: Seek out super individual contributors (ICs): https://ramp.com/velocity/the-art-of-hiring-insights#Eric-Glyman:-Seek-out-super-individual-contributors-(ICs)• Eric Glyman on X: https://x.com/eglyman• Mike Moore on LinkedIn: https://www.linkedin.com/in/mike-moore-802223177• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• Why you should work much harder RIGHT NOW: https://marginalrevolution.com/marginalrevolution/2026/03/why-you-should-work-much-harder-right-now.html• Opendoor: https://www.opendoor.com• The Craft of Early Stage Venture | Peter Fenton, General Partner at Benchmark | Uncapped with Jack Altman: https://www.youtube.com/watch?v=vRiblwiXt-Q• Lovable: https://lovable.dev• The rise of the professional vibe coder (a new AI-era job) | Lazar Jovanovic (Professional Vibe Coder): https://www.lennysnewsletter.com/p/getting-paid-to-vibe-code• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Marc Andreessen: The real AI boom hasn't even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• Jeremy Stoppelman on X: https://x.com/jeremys• The design process is dead. Here's what's replacing it. | Jenny Wen (head of design at Claude): https://www.lennysnewsletter.com/p/the-design-process-is-dead• Andy Warhol: https://en.wikipedia.org/wiki/Andy_Warhol• Curation and Algorithms: https://stratechery.com/2015/curation-and-algorithms• Ernest Hemingway: https://en.wikipedia.org/wiki/Ernest_Hemingway• William Shakespeare: https://en.wikipedia.org/wiki/William_Shakespeare• Evan Moore on X: https://x.com/evancharles• Andrew Mason on X: https://x.com/andrewmason• Read Taylor Swift's Full Viral Speech After Record-Breaking Awards Sweep: https://www.newsweek.com/entertainment/read-taylor-swift-full-acceptance-speech-record-breaking-awards-sweep-11745941• The Chainsmokers: Stories Behind the Songs, AI's Impact on Music, and Venture Investing | Uncapped with Jack Altman: https://www.youtube.com/watch?v=9GMSC-2pYnw&list=PLtpH7YnTL8ihy0nR2BV32n5VkRtqlDAS1&index=16• How to spot a top 1% startup early: https://www.lennysnewsletter.com/p/how-to-spot-a-top-1-startup-early• David Weiden on LinkedIn: https://www.linkedin.com/in/davidweiden• Alfred Lin on LinkedIn: https://www.linkedin.com/in/linalfred• Keith's post about vertical integration on X: https://x.com/rabois/status/870673635375104000• Jon Chu on X: https://x.com/jonchu• Kanu Gulati on X: https://x.com/KanuGulati• Rogo: https://rogo.ai• Profound: https://www.tryprofound.com• Basis: https://www.getbasis.ai• Spellbook: https://www.spellbook.legal• Roelof Botha on X: https://x.com/roelofbotha• Delian Asparouhov on LinkedIn: https://www.linkedin.com/in/delian-asparouhov-87447742• Lessons From Keith Rabois, Essay 1: How to become a Venture Capitalist: https://delian.io/lessons-1• Velocity over everything: How Ramp became the fastest-growing SaaS startup of all time | Geoff Charles (VP of Product): https://www.lennysnewsletter.com/p/velocity-over-everything-how-ramp• Nuremberg on AppleTV+: https://tv.apple.com/us/movie/nuremberg/umc.cmc.3sg4y0382byupy76bfy7307k4• Eight Sleep: https://www.eightsleep.com• “NO DAYS OFF”—Bill Belichick on X: https://x.com/SNFonNBC/status/829036279069364224—Recommended books:• Creativity, Inc.: Overcoming the Unseen Forces That Stand in the Way of True Inspiration: https://www.amazon.com/Creativity-Inc-Overcoming-Unseen-Inspiration/dp/0812993012• The Jordan Rules: The Inside Story of One Turbulent Season with Michael Jordan and the Chicago Bulls: https://www.amazon.com/Jordan-Rules-Sam-Smith/dp/0671796666• The Upside of Stress: Why Stress Is Good for You, and How to Get Good at It: https://www.amazon.com/Upside-Stress-Why-Good-You/dp/1101982934—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Amol Avasare is Head of Growth at Anthropic, which is going through the most unprecedented growth trajectory in history—scaling from $1 billion to over $19 billion in ARR in just 14 months. Previously, Amol worked on the growth teams at Mercury and MasterClass. Before that he was a founder, and he cold emailed his way into the Anthropic role when no job listing existed. Most remarkably, he overcame a traumatic brain injury from a Muay Thai match that meant he couldn't work for nearly a year.In our in-depth discussion, Amol shares:1. How Amol landed his role by cold emailing Anthropic's CPO Mike Krieger2. How Anthropic is automating growth experiments with Claude (their internal tool called “CASH”)3. Why the ratio of PMs to engineers might need to flip (more PMs than engineers) as AI makes engineers exponentially more productive4. Why activation is the single highest-leverage growth problem in AI5. Why Anthropic indexes 70/30 toward big bets (the opposite of most growth teams)6. How he uses Cowork to detect team misalignment in Slack7. How the company's focus on AI coding created a research flywheel that accelerated their models—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVanta—Automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/anthropics-1b-to-19b-growth-run—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Amol Avasare:• X: https://x.com/TheAmolAvasare• LinkedIn: https://www.linkedin.com/in/amolavasare—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Amol and Anthropic's growth(03:15) The story of cold emailing Mike Krieger to get the job(08:28) What it's like leading growth at the fastest-growing company ever(10:46) What the growth team actually does at Anthropic(12:16) The concept of “success disasters”(13:55) Why activation is the biggest challenge in AI products(18:05) Improving Mercury's onboarding experience(20:57) The importance of adding the right kind of friction(25:10) Anthropic's org structure(27:06) Why Anthropic focuses on big bets over micro-optimizations(33:34) Automating growth experiments with Claude (CASH)(38:20) How AI is starting to identify what experiments to run(41:07) The future of PM, engineering, and design roles(47:19) Why you might need more PMs as engineers get more productive(51:13) How Amol uses AI to prototype ideas and skip PRDs(58:10) Amol's morning routine: AI analyzes 20 to 25 charts automatically(1:03:31) Getting coaching from an AI version of your manager(1:06:27) How Anthropic's focus on coding and B2B drove their success(1:12:10) Balancing growth with AI safety as a core mission(1:18:09) Advice for thriving in an AI-first future(1:22:53) Anthropic's culture and the “notebook channels” on Slack(1:35:12) Failure corner: Shutting down his startup after raising money(1:38:25) The traumatic brain injury that changed everything(1:46:49) Lightning round—References: https://www.lennysnewsletter.com/p/anthropics-1b-to-19b-growth-run—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com