Podcasts about GTM

How can deep customer understanding drive more effective B2B marketing strategies?This special Hard Corps Marketing Show takeover episode features an episode from the Connect To Market podcast, hosted by Casey Cheshire. In this conversation, Casey sits down with Greg Perotto, VP of Global Marketing at Poggio to explore the power of deep customer understanding in shaping successful B2B go-to-market efforts. Greg emphasizes the critical need to move beyond surface-level personas and truly understand customer needs, priorities, and challenges to drive meaningful marketing and sales alignment.He shares how AI technologies can be leveraged to continuously update and deliver relevant, real-time context about customers, helping teams create more personalized and impactful experiences. Greg also reflects on his own career journey, offering advice on mentorship, self-awareness, and finding purpose in your work.In this episode, we cover:How to move beyond static personas and gain real-time, contextual customer understandingThe role of AI in scaling personalized marketing and keeping insights fresh and actionableWhy product-market fit is a moving target and how to stay aligned with evolving customer needsHow to use customer context as a strategic advantage in sales conversations and GTM planning

Aydin sits down with Mike Potter, CEO and co-founder of Rewind, to talk about how AI is changing both the risk and opportunity landscape for SaaS companies. They cover how AI agents are now deleting real customer data, why backup is more critical than ever, and how Rewind became an AI-native org with dedicated AI ownership, monthly Lunch & Learns, and real internal workflows.Mike walks through the exact N8N workflows he uses to:Auto-triage his Gmail into multiple inboxes using AIGenerate a daily AI brief based on tasks, calendar events, and past email contextAnalyze churn, win/loss, and internal product data using Claude and MCPThey close with Mike's “dream automation”: a full AI-generated business review that looks across financials, CRM data, and benchmarks.Timestamps:0:00 — Welcome to the show0:31 — Mike's intro & what Rewind backs up across SaaS ecosystems1:40 — AI agents as a new failure mode and how Rewind “saves you from your AI”4:05 — Turning Rewind into an AI-native company early on4:53 — First attempt at AI-built integrations (why it failed then, why it might work now)7:23 — Developers trading tedious integration maintenance for more interesting AI work9:45 — Code vs architecture: the Shopify webhooks story and handling 1.1B+ events14:03 — Hiring an AI Engineer: scope, responsibilities, and why background mattered15:33 — How Rewind drove AI adoption: Lunch & Learns, “use it in your personal life,” experimentation20:53 — How AI Lunch & Learns actually run across multiple offices and remote folks23:10 — Examples: CS tools, Alloy prototypes, AI video voiceovers, end-to-end workflows25:13 — Churn workflows: combining uninstall reasons from multiple marketplaces into Claude27:06 — Win/loss and internal analytics using Claude Projects + MCP server into an internal DB29:14 — Choosing between Claude, ChatGPT, and Gemini depending on the task (and re-testing every few months)31:23 — Mike's Gmail system: multiple inboxes + N8N + AI classification36:07 — Inside the email-classifier prompt and AI-powered spam that beats Gmail filters41:34 — The “Daily AI Brief”: pulling tasks, meetings, and prior email threads into a single morning email45:02 — Letting AI write and debug N8N workflows (and how assistants in tools are getting better)48:58 — Wishlist: automated AI business review across finance, Salesforce, and SaaS benchmarks51:23 — Closing thoughts: so many useful tools are possible, but GTM is the hard partTools & Technologies MentionedRewind – Backup and restore for mission-critical SaaS applications.Claude – LLM used for analysis, projects, agents, and internal tools.ChatGPT / OpenAI (GPT-4.1, GPT-4.1 mini) – LLMs used for code, prompts, and workflow JSON.N8N – Automation platform used to build email and daily-brief workflows.Gmail – Email client where AI-powered labels drive multiple inboxes.Google Calendar – Calendar data powering the daily AI agenda.Google Tasks – Task list feeding into the morning brief email.MCP (Model Context Protocol) – Connects Claude to Rewind's internal databases.Alloy – Tool for building interactive product UI prototypes.Salesforce – CRM used for pipeline, churn, and win/loss analysis.Gumloop – Workflow tool with an embedded AI assistant.Zapier – Automation platform referenced for plain-English workflow creation.Fellow – AI meeting assistant for summaries, action items, and insights.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

If you're planning your 2026 biz dev strategy without real market data, you're guessing. In this episode, I talk with friend of the show Nicholas Petroski, founder of Promethean Research and creator of the Digital Agency Referral Playbook, about what the numbers actually say—and how top agencies are using referrals, account growth, and GTM clarity to build next year's plan. This is the clearest look you'll get at what's really moving the needle heading into 2026.

Most sales teams think they have a strategy problem — but what they really have is a targeting problem, a culture problem, and a misalignment problem that quietly kills pipeline long before a rep picks up the phone.In this episode, we break down:• Why your ICP is unclear (even if you think it's fine)• How high-performing teams build a 10-year roadmap• Why most above-the-line campaigns fail• What sales transformation actually requires• How to fix internal resistance and create momentum• The biggest mistakes leaders make in GTM execution• And the $100M analogy you'll never forget.This isn't another “tips & tricks” sales conversation.This is the real blueprint behind culture, alignment, and strategic execution in modern revenue teams.

Databox is an easy-to-use Analytics Platform for growing businesses. We make it easy to centralize and view your entire company's marketing, sales, revenue, and product data in one place, so you always know how you're performing. Learn More About DataboxSubscribe to our newsletter for episode summaries, benchmark data, and moreMost marketers are told: “Tie your plan to revenue.” But how?In this fast-paced live episode, Sam Kuehnle (VP of Marketing at Loxo) breaks down a practical, no-fluff process for building a marketing plan that earns buy-in from leadership, aligns with sales, and actually hits targets.No vanity metrics. No fake forecasts. Just real talk on what's working, what's not — and how to plan smarter.In this episode, you'll learn:How to calculate marketing's share of company revenue goalsWhat “bottoms-up” and “top-down” planning really look likeWhy most funnels leak at the demo-to-meeting stageHow to avoid wasting budget on channels you haven't proven yetThe spreadsheet Sam uses to model all of thisThis is your playbook if you're tired of MQL theater and want to lead with strategy, not guesswork.

How do Product-Led Growth (PLG) and Sales-Led Growth (SLG) actually work together…instead of competing against each other? In this Marketingland 2025 session, ClickUp's COO Gaurav Agarwal and Global VP of Marketing Kyle Coleman break down why the “PLG vs. SLG” debate is a false dichotomy, and how the most successful companies blend both to drive real revenue impact. From navigating budget decisions to building demand, delivering intuitive product experiences, and integrating AI in ways that actually help (instead of over-promising), they dig into the mechanics of modern growth engines. And, should incremental ROI really be your real north star? If you're building, optimizing, or scaling a modern GTM engine, this conversation is for YOU.  Optimizely helps thousands of brands create, personalize, and optimize exceptional digital experiences. See how Optimizely Opal, our AI agent orchestration platform, automates real marketing work and helps teams scale their impact at https://www.optimizely.com/ai/?utm_campaign=PS-GL-11-2025-MARKETING-MILLENNIALS-PODCAST&utm_medium=cpc&utm_source=marketingmillennials&utm_content=opal-agent-orchestration Follow Gaurav: LinkedIn: https://www.linkedin.com/in/gauravragarwal/ Follow Kyle: LinkedIn: https://www.linkedin.com/in/kyletcoleman/ Sign up for The Marketing Millennials newsletter: https://themarketingmillennials.com/ Daniel is a Workweek friend, working to produce amazing podcasts. To find out more, visit: https://workweek.com/

Send us a textHit replay on this high-energy conversation with Ben Lowe, Founder and CEO of Lighthouse Technology, as he breaks down what it really takes to build something from scratch in a fast-changing AI world. From finding the right co‑founder and stepping into the CEO role, to navigating the toughest challenges of entrepreneurship, Ben shares practical lessons and hard‑won insights for builders at every stage.Ben also lifts the curtain on Lighthouse Technology's mission at the intersection of cloud modernisation, cost optimisation, and Agentic AI, and how enterprises can turn AI hype into outcomes with the right GTM motion and architecture. If you care about innovation, AI for the enterprise, or your own startup journey, this replay is packed with career gold, strategic perspective, and a candid look at what's next.01:34 Finding a Entrepreneurial Partner 04:43 The Creation of Lighthouse 08:10 Becoming the CEO 09:34 The Biggest Challenge of Entrepreneurship 11:30 Lighthouse Technology 19:07 Agentic AI 20:16 The Lighthouse Trajectory 22:12 The GTM 31:39 Reseller versus Innovator 36:53 AI for the Enterprise 41:35 The 2-Min Pitch 43:30 What's True?LinkedIn: https://www.linkedin.com/in/lowebenjamin/?originalSubdomain=uk Website: https://lighthousetechnology.ai/#Entrepreneurship #AgenticAI #TechLeadership #Innovation #BusinessGrowth #CareerAdvice #AIForEnterprise #StartupJourney #MakingDataSimple #LighthouseTechnology #PodcastReplayWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textHit replay on this high-energy conversation with Ben Lowe, Founder and CEO of Lighthouse Technology, as he breaks down what it really takes to build something from scratch in a fast-changing AI world. From finding the right co‑founder and stepping into the CEO role, to navigating the toughest challenges of entrepreneurship, Ben shares practical lessons and hard‑won insights for builders at every stage.Ben also lifts the curtain on Lighthouse Technology's mission at the intersection of cloud modernisation, cost optimisation, and Agentic AI, and how enterprises can turn AI hype into outcomes with the right GTM motion and architecture. If you care about innovation, AI for the enterprise, or your own startup journey, this replay is packed with career gold, strategic perspective, and a candid look at what's next.01:34 Finding a Entrepreneurial Partner 04:43 The Creation of Lighthouse 08:10 Becoming the CEO 09:34 The Biggest Challenge of Entrepreneurship 11:30 Lighthouse Technology 19:07 Agentic AI 20:16 The Lighthouse Trajectory 22:12 The GTM 31:39 Reseller versus Innovator 36:53 AI for the Enterprise 41:35 The 2-Min Pitch 43:30 What's True?LinkedIn: https://www.linkedin.com/in/lowebenjamin/?originalSubdomain=uk Website: https://lighthousetechnology.ai/#Entrepreneurship #AgenticAI #TechLeadership #Innovation #BusinessGrowth #CareerAdvice #AIForEnterprise #StartupJourney #MakingDataSimple #LighthouseTechnology #PodcastReplayWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Most sales orgs brag about being data-driven, then bury SDRs under forty-seven KPIs, endless meetings, overlapping territories, hope-based quotas, and tool sprawl. That's not accountability. It's anxiety by design.In this episode, Brandon Bornancin breaks down the five GTM design flaws quietly crushing performance and shows you what elite VPs do instead. You'll learn how to cut to five controllable KPIs, replace meeting bloat with async updates, assign single-account ownership, rebuild quotas from real capacity, and collapse your stack so the next action lives in the CRM.Brandon lays out the templates, rules of engagement, and compensation tweaks that turn chaos into throughput... without burning out your best reps. 

In this special live episode from SaaS Summit Benelux in Amsterdam, Joran sits down with Roelof Otten, founder of SaaSmeister, to explore How PLG Will Change in 2026: AI Agents, Onboarding & Hybrid GTM. Together, they break down the biggest shifts coming to B2B SaaS go-to-market—from the rise of hybrid motions and the evolution of sales roles to the transformative impact of AI-powered demos, agents, and conversational interfaces.Roelof shares actionable, stage-specific insights for founders at every level. You'll hear why PLG is becoming a company-wide strategy instead of a product feature, how onboarding is expanding beyond the UI, why freemium is harder for AI-native products, and what it really takes to build data tracking that supports growth instead of slowing it down.Whether you're moving from sales-led to product-led, building a hybrid GTM, or preparing your SaaS product for an AI-first future, this episode offers a clear roadmap for navigating the changes ahead and meeting buyers where they want to be in 2026.Tune in to learn how to implement PLG effectively, empower your sales team in a consultative model, integrate AI responsibly, and build growth loops that compound over time.Key Timecodes(0:00) – B2B SaaS, PLG, AI onboarding, AI demos, product-qualified pipeline, GTM 2026, SaaS Summit(0:52) – B2B SaaS podcast(0:58) – Roelof Otten, SaaSmeister, PLG(1:07) – GTM 2026, PLG trends(1:42) – Hybrid GTM, PLG, sales-led(2:36) – AI GTM, AI agents, AI demos(3:12) – Interactive demos, AI sales assistant(3:50) – Buyer enablement, AI demo(4:20) – In-product AI, trial support(4:36) – PLG transformation, sales alignment(5:21) – Consultative sales, upsell, PQLs(5:43) – PLG funnel, activation, expansion(6:00) – Conversational UI, AI UX(6:52) – UX transition(7:25) – AI platform, data layer, models(7:37) – MCP, AI integrations, ChatGPT, Claude(8:10) – AI privacy, security, compliance(8:46) – Build vs buy AI, LLMs(9:22) – PLG first, SaaS trial(9:38) – Reditus, SaaS affiliate(10:22) – AI costs, freemium(10:35) – Freemium strategy, CAC, churn(11:39) – Referrals, partnerships, affiliate growth(12:33) – In-app referrals, incentives(13:06) – Onboarding, nurture, reactivation(13:57) – Signup friction, JTBD, ICP(14:57) – Personalized onboarding(15:14) – Founder-led sales, JTBD, messaging(15:45) – ICP focus, activation metrics(16:39) – Product analytics, event tracking(17:01) – Roelof Otten, SaaSmeister(17:15) – Podcast outro, sponsor, Reditus

In this groundbreaking episode of SaaS Fuel, Jeff Mains sits down with Amos Bar Joseph, CEO and co-founder of Swann, the AI-native company on a quest to build the world's first truly autonomous business. With only three human founders and a fleet of AI agents, Swann is redefining the startup playbook—targeting $10M ARR per employee and running leaner operations without sacrificing growth or burning out teams. Amos Bar Joseph shares how Swann scales via intelligent automation and human-AI collaboration, creating systems where both people and agents operate in their zone of genius. Listeners learn actionable ways to build their “AI muscle,” leverage experimental GTM strategies, and develop organizations that amplify human talent rather than replace it.Key Takeaways00:00 "Building Resilient Customer-Focused Teams"05:23 Reinventing the Startup Playbook08:52 "Scaling Innovation Through AI Agents"10:14 "Building an AI Support Agent"15:00 "Optimizing Funnel With Human Leadership"17:16 "AI-Powered GTM Automation Tool"20:51 AI Amplifying Human Talent26:56 Continuous Innovation Through Experiments28:13 "Balancing Risk in Business Growth"32:43 "Building AI Muscle Internally"36:37 "AI Failures: Perfection Over Adaptation"39:11 Defining Failure in Experiments42:59 "Redefining Scale with Human-AI"48:21 Automated Sales Lead Management52:06 "Connect, Learn, Build Autonomously"54:40 "Scaling Revenue & Holographic Tech"Tweetable Quotes"It wasn't like that. What happened is that we started iterating in human in the loop workflows where humans and agents work side by side and there's an iteration mechanism where we refine that collaboration until we got to a process that one person could scale to an output of what used to in the past." — Amos Bar JosephQuote: "It's kind of like a developer that works with sales and marketing and sometimes founders or rev ops to turn any go to market idea into an agentic workflow. So you can scale go to market with intelligence, not revenue, not headcount, and really iterate on your go to market at the speed of thought." — Amos Bar JosephQuote: "The moment that you remove all the technical complexity with a tool like Swann, then you can start iterating on your go to market at the speed of thought." — Amos Bar JosephQuote: "what we aim for is actually these unconventional playbooks, because these playbooks, these tactics, are the ones that you can drive the most disproportionate value from the resource that you invest in." — Amos Bar JosephWhy Most AI Projects Fail: "The number one reason for that is that the user, the buyer, the organization is optimizing and the vendor together, they're optimizing for perfection, not for adaptation, as you just laid out, Jeff. And the reason is why that is the number one reason, is because you don't know what perfection looks like when you start." — Amos Bar JosephSaaS Leadership LessonsLeverage Talent, Not Headcount:Focus on value creation per employee, using AI to scale intelligent output—not just adding more people.Iterate to Innovate:Use experimentation and iterative processes to refine human-agent collaboration and maximize business results.Embrace the Zone of Genius:Place team members in roles where their passions and skills create disproportionate value; let AI take on everything outside that zone.Bias Toward BuildingAdopt a build-first mentality with AI tools—solve your own business bottlenecks rather than just buying external solutions.Stand Out With Unconventional Playbooks:In...

Every marketing leader should give their team an AI framework for rethinking how they work. In this week's episode of Growth Talks, Vanessa Hope Schneider, Head of Marketing at Decript, joins host Tyler Elliston, Founder and CEO of Right Side Up, to break down how AI is becoming core to every marketer's role and what that shift means for how modern teams operate. Drawing on her leadership experience from Airbnb, Eventbrite, and Descript, Vanessa outlines a framework for helping teams adopt AI while preserving the human element that defines great marketing.  Find out why learning AI tools and experimenting with real workflows is key to understanding where AI adds value and setting your team up for success.

Fifteen years in, it can still feel like “we're just getting started.”Michelle Zatlyn, co-founder of Cloudflare, returns to Grit with Joubin Mirzadegan to share how Cloudflare secures the internet for millions, with a vision built to last generations.She also shares why staying close to reality and to customers becomes harder as success compounds, and how Cloudflare is helping content creators regain control in an AI driven internet.Guest: Michelle Zatlyn, co-founder and President of CloudflareConnect with Michelle ZatlynXLinkedIn​Connect with JoubinXLinkedInEmail: grit@kleinerperkins.com​Learn more about Kleiner Perkins

Dave Govan is the Founder and CEO of G2 Strategic Advisory Services, with a career that spans $100M+ as a rep and $2.3B+ as a CRO. From early-stage startups to global tech titans, Dave has operated across nearly every stage of company growth — and he's seen it all.In this episode, we dive into what's broken in today's go-to-market (GTM) strategy and how AI is exposing the cracks — especially among lazy leadership and outdated sales execution. Dave breaks down why business acumen, not tactics, is the key differentiator for today's reps, and how founders often derail their own growth by scaling the wrong way.Whether you're a CRO, founder, or seller trying to thrive in today's shifting landscape, this conversation is packed with honest insights and actionable advice from one of the most experienced operators in the field.Are you interested in leveling up your sales skills and staying relevant in today's AI-driven landscape? Visit www.jbarrows.com and let's Make It Happen together!Connect with John on LinkedIn: https://www.linkedin.com/in/johnbarrows/Connect with John on IG: https://www.instagram.com/johnmbarrows/Check out John's Membership: https://go.jbarrows.com/pages/individual-membership?ref=3edab1 Join John's Newsletter: https://www.jbarrows.com/newsletterConnect with Dave on LinkedIn: https://www.linkedin.com/in/davegovan/Check out Dave's Website: https://g2strategicadvisoryservices.com/

In most industries, if you've got a solid idea, a few engineers, and a working prototype, you can at least get in the game. Professional sports is not one of those industries. When Jordy Leiser co-founded Jump with Alex Rodriguez and Marc Lore, he wasn't just building software — he was trying to rebuild the entire fan experience from the ground up, in a business dominated by legacy players like Ticketmaster.  Four years later, his company is powering the digital backbone for teams like the Minnesota Timberwolves and North Carolina Courage. In this episode, Jordy explains what it actually takes to break into a closed industry, why he reverse-engineers every funding round before he raises it, and the biggest mistake he refused to repeat as a second-time founder. RUNTIME 53:07 EPISODE BREAKDOWN (1:12) Breaking into pro sports, rebuilding fan experience, and reverse-engineering fundraising. (2:03) How Stella Connect (customer service) laid the foundation for Jump (customer experience for fans). (2:58) What Jump does today: a unified fan experience + data platform for teams. (4:11) The unusual founding plan: 3-4 years of R&D, designed to launch with an NBA franchise from day one. (5:46) Why sports is nothing like building a typical SaaS startup — more like a “car company” level of complexity. (6:48)The true barrier: a near-monopoly in ticketing that stops innovation cold. (7:59) Selling into a market where fans have low expectations — and why demand is obvious but still untapped. (9:54) Early customers as classic early adopters — every team already knows the pain points intimately. (11:25) The first hypothesis they had to kill: incumbents don't want to integrate or share data. At all. (12:32) Designing for the actual fan demographic: season ticket holders skew 50+, so “cutting-edge UX” isn't always the answer. (13:25) Jordy's advice to founders: get out of the building, talk to insiders, but keep your “child's mind.” (15:06) Sports as an industry you can't “hack into” — it works more like fashion or Hollywood. (17:31) Moments when he realized he was losing stakeholders — and why being “comfortable in the uncomfortable” is essential. (18:03) Early would-be partners who backed out, the impact on morale, and what they learned from those rejections. (19:45) Jump's origin as a “dynamic seating” idea — and why they had to build the entire platform instead. (21:03) The “invisible platform” ethos: why Jump melts into the background so teams can own the fan relationship. (23:10) Why NWSL teams and NBA franchises have surprisingly similar needs — and what that taught them about productizing. (24:36) Jordy's litmus test for platform vs. point solution: how many people in the org depend on you to do their job? (27:01) Seed to Series A timeline — and how the Timberwolves sale collapsing delayed everything by a year. (28:37HaHow Jordy processed a crisis that was public, sudden, and existential. (31:13) The Long Beach pier walk: the moment he decided to pivot the GTM to a crawl-walk-run strategy. (32:49) Effectuation theory, the “bird in hand,” and how it led to NCAA → NWSL → Timberwolves as a survival sequence. (34:39) What he had to unlearn from Stella Connect: stop zooming in — zoom way out to a 10–20-year vision. (37:05) The habit he kept: talent above all else — and why his first call was to a Chief People Officer. (38:45) Minimum viable people function for early founders: fractional HR > junior recruiter. (42:58) High performance without grind culture: intensity ≠ toxicity — and why durability matters more than speed. (45:40) Hiring from big tech: what's actually transferable, and the dangers of logo-blindness. (50:55) The one answer Jordy would need from a founder-CEO before he'd join their startup. LINKS Jordy Leiser Jump Alex Rodriguez Marc Lore Jump Series A announcement Delivering Happiness: A Path to Profits, Passion, and Purpose, Tony Shieh Effectuation — UVA Darden School of Business SUBSCRIBE

In this episode of Sales Is King, host Dan Sixsmith sits down with Jon Addison, Chief Revenue Officer at Okta, to unpack how identity is becoming mission-critical in a world of AI agents, distributed work, and rising security expectations. Jon shares how Okta is evolving from product to platform, why identity is central to securing AI, and what it really takes to lead large, global go-to-market organizations today. The conversation ranges from AI ROI and agent security to sales leadership, relationship selling in a post‑pandemic world, and Jon's unconventional path from door‑to‑door sales and technical roles into the CRO seat.Key TopicsOkta's mission and why identity sits at the center of security and AI. The early, messy phase of AI and agents and why standardization and consolidation are coming. How Okta thinks about securing AI agents for 20,000+ customers through policy, platform, and design. Moving from “product company” to “platform company” and what that means for GTM, partners, and customers. Jon's view of the CRO role: being a change agent, driving parallel transformations, and balancing data with instinct. The “Formula to Win” (Focus, Compete, Lead) and the decision to specialize across Okta and Auth0 buying personas. Why enterprise selling is going “back to relationships” in an era of hyper‑informed, AI‑enabled buyers. Skill vs. art in sales: practice, rehearsal, and the X‑factor of human connection and courage. Methodologies, MEDDIC, and how frameworks and creativity can and should coexist. Jon's career path: door‑to‑door sales, technical consulting, product management, Oracle, LinkedIn, and now Okta. How to think about talent, instincts, and building high‑performing, international sales teams. Jon's definition of success: growth, unlocking potential in reps, and meaningful customer outcomes. HighlightsAI and agent deployments are still in early, fragmented stages, and most enterprises are experimenting without yet seeing consistent ROI—creating a big opening for vendors who can standardize and secure these environments. Okta sees AI agents much like cloud apps in the early days: scattered pilots that will eventually need centralized identity, policy, and governance—an area where its platforms are already embedded. The CRO role is fundamentally about being an empowered change agent: driving multiple transformation streams at once, building trust across functions, and having the courage to move fast without creating “one‑way doors.” Specialization across platforms (Okta vs. Auth0) and buying personas is unlocking deeper expertise, better customer conversations, and sharper competitive positioning. Enterprise sellers will increasingly face highly educated buyers who have already self‑researched with AI, which shifts the seller's value from information transfer to relationship, insight, orchestration, and outcome design. World‑class sellers treat sales like a craft: they rehearse, review call recordings, seek coaching, and study both customers and industries the way elite athletes study film. Strong sales cultures blend a clear methodology and shared language with individual creativity, ambition, and “brave” outreach that truly differentiates the experience for customers. Guest Bio – Jon AddisonJon Addison is the Chief Revenue Officer at Okta, where he leads the global field organization and is responsible for driving worldwide growth. He brings over 20 years of sales leadership experience from roles at LinkedIn, Oracle, and other global technology firms, and is focused on building high‑performing teams, scaling platform‑led go‑to‑market motions, and helping customers modernize and secure identity in the age of AI.Connect with Jon and OktaJon on Okta's leadership page: https://www.okta.com/company/leadership/jon-addison/ Okta newsroom and updates: https://www.okta.com/newsroom/ Connect with Dan Sixsmith & Sales Is KingDan Sixsmith on LinkedIn: https://www.linkedin.com/in/dansixsmith/ 

The world of B2B SaaS has fundamentally changed. The era of "growth at all costs" is behind us, and the margin for error has disappeared. In a market defined by tighter budgets and the rapid rise of AI, the old playbooks for execution simply don't work anymore.You've invested in the right GTM strategy and enablement programs. But if your sales process is still scattered across static documents while the market demands speed and precision, you are left with unpredictable results.It's time to bridge the gap between theory and the new reality of execution.We are excited to announce the launch of Revenue Execution: Defining the Standard for Revenue Excellence, a new podcast launching on December 2nd.Hosted by Accord CEO and Co-Founder, Ross Rich, this show is for leaders dedicated to transforming sales theory into results. We skip the fluff to have honest conversations with the industry's most successful leaders about the reality of building revenue infrastructure.Tune in each week as we break down how top leaders:Transform sales processes into enforceable revenue infrastructure.Get real ROI from their biggest investments: people and process.Operationalize AI to enforce playbooks that make every rep execute like a top performer.Create standards that drive consistency across the entire team.If you want to learn directly from tech's top revenue leaders and operators about how they build their engines, this is the podcast for you.We are kicking things off with an incredible lineup of leaders navigating these shifts right now:Andrew Zinger – Senior Global Director, Global Revenue Enablement at FastlyVanessa Brangwyn – CRO at MotusJordan Watson – Director, Customer First Enablement at OktaChris Perry – CRO at CartaLaunching December 2nd on Spotify, Apple Podcasts, YouTube, or wherever you listen to podcasts.  

On this episode of Embracing Erosion, Devon sits down with Molly Chapman, Senior Associate of Product Marketing at Apax Partners. Molly's career spans both agency and in-house roles across industries like travel, and financial services — from shaping campaigns at STA Travel, to leading product marketing and GTM strategy at Moorepay, and now advising a diverse portfolio of companies within one of the world's leading private equity firms.In their conversation, they discuss how she guides portfolio teams without owning their strategy, what product marketing looks like in a PE context, and how the discipline itself is evolving — both inside traditional tech companies and beyond. Enjoy the conversation!

En el capítulo de hoy charlamos con Adrián Suárez (nuevebits), sobre su nuevo libro: Los secretos de Shadow Moses. Más allá de "Metal Gear". Os contamos qué nos ha parecido el número 119 de la revista GTM, y reseñamos los siguientes cómics y mangas de Panini: Maximum Berserk (Catalá) #14, Animal Man de Grant Morrison, Fumando juntos detrás del súper #6, Marvel Ómnibus: Marvel Zomnibus: El regreso, Los Vengadores de Geoff Johns y Batman de Snyder y Capullo #1. Esperamos que os mole. Enlaces: https://linktr.ee/reservademana

Jeanne DeWitt Grosser built world-class GTM teams at Stripe, Google, and, most recently, Vercel, where she serves as COO and oversees marketing, sales, customer success, revenue operations, and field engineering. She transformed Stripe's early sales organization from the ground up and advises founders on GTM strategy.We discuss:1. Why GTM is becoming more strategically important in the AI era2. The rise of the GTM engineer3. A primer on segmentation4. How to build a sales org that engineers and product teams respect5. The changing calculus of build vs. buy for go-to-market tools in the AI era6. Why most customers buy to avoid pain rather than to gain upside—Brought to you by:Datadog—Now home to Eppo, the leading experimentation and feature flagging platform: https://www.datadoghq.com/lennyLovable—Build apps by simply chatting with AI: https://lovable.dev/Stripe—Helping companies of all sizes grow revenue: https://stripe.com/—Transcript: https://www.lennysnewsletter.com/p/what-the-best-gtm-teams-do-differently—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/179503137/my-biggest-takeaways-from-this-conversation—Where to find Jeanne DeWitt Grosser:• X: https://x.com/jdewitt29• LinkedIn: https://www.linkedin.com/in/jeannedewitt—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 Jeanne DeWitt Grosser(05:26) Defining go-to-market(08:43) The evolution of go-to-market roles(11:23) The rise of the go-to-market engineer(14:21) Implementing AI in sales processes(15:28) Optimizing sales with AI agents(23:47) Defining sales roles: SDRs and AEs(26:04) When to hire a GTM engineer(29:04) Hiring and scaling sales teams(30:50) The ideal go-to-market engineer(34:24) The go-to-market tool stack(40:39) Advice on building a great sales bot(44:34) Vercel's unfair advantage(46:37) Go-to-market as a product(47:04) Innovative sales tactics at Stripe(52:38) Effective go-to-market tactics(01:00:37) Segmentation strategies(01:09:31) Building a sales org that engineers love(01:14:00) Thoughts on PLG and pricing(01:16:44) Sales compensation and hiring(01:19:24) Lightning round and final thoughts—Referenced:• Vercel: https://vercel.com• Stripe: https://stripe.com• Rosalind Franklin: https://en.wikipedia.org/wiki/Rosalind_Franklin• Ben Salzman on LinkedIn: https://www.linkedin.com/in/bensalzman• SDK: https://ai-sdk.dev/docs/introduction• Gong: https://www.gong.io• Lyft: https://www.lyft.com• Instacart: https://www.instacart.com• DoorDash: https://www.instacart.com• “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr• A step-by-step guide to crafting a sales pitch that wins | April Dunford (author of Obviously Awesome and Sales Pitch): https://www.lennysnewsletter.com/p/a-step-by-step-guide-to-crafting• Kate Jensen on LinkedIn: https://www.linkedin.com/in/kateearle• Lessons from scaling Stripe | Claire Hughes Johnson (former COO of Stripe): https://www.lennysnewsletter.com/p/lessons-from-scaling-stripe-tactics• Atlassian: atlassian.com—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

Jason Eubanks is back to answer the question every revenue leader is asking: Will AI kill sales jobs or make great sellers unstoppable? He drops hard stats (91% of B2B teams missed quota, top 25 % drive 80% of revenue at 11× productivity) and explains why AI is a superpower for elite performers, a wake-up call for the bottom quartile, and a complete game-changer for SDR outreach, buyer trust, and hiring. If you lead a sales org, this 35-minute conversation is required listening.

In this episode of the Grow Your B2B SaaS podcast, recorded live at the SaaS Summit Benelux in Amsterdam, host Joran sat down with Richard Schenzel from AtScale. Richard and his team act as operating partners for B2B SaaS companies, helping them build, structure, and scale sales operations with a strong focus on improving performance.The conversation centered on how go-to-market (GTM) strategy is changing in 2026. From the rise of blended motions and the evolving role of ACV across PLG and sales-led setups, to how AI will reshape the entire funnel—Richard shared a pragmatic view into what will separate the SaaS companies that scale successfully from those that fall behind. He also explained why now is the time for deep introspection, how to audit your GTM machine, and why roles like SDR/BDR must be rethought in an AI-driven world.Key Timestamps(0:00) – The 2026 B2B SaaS GTM Shakeup: AI, PLG vs Sales-Led & ACV Truths(0:00) – Meet Richard Schenzel: The B2B SaaS Sales Ops Performance Architect(0:01) – GTM in 2026: AI-Driven Plays, Blended Motions & ACV Strategy(0:02) – Why 2026 Demands a Full GTM Audit: Blended Motions + ACV Reality(0:02) – PLG vs Sales-Led: How ACV Decides Your Entire GTM Motion(0:03) – The New Era of Efficient SaaS Growth: AI, Margin & Sales Efficiency(0:04) – Bow-Tie Model Power: Where AI Creates Massive GTM ROI(0:04) – Automate Your Sales Engine: AI Intent, Scoring, SDR Workflows & CS(0:05) – The 2026 SDR: Human Connection Beats Sequencing Automation(0:06) – 2026 Headcount Reset: New SDR/BDR, AE & RevOps Roles(0:07) – Train the Machines: Why People Still Win in AI-Driven GTM(0:07) – Ad Break: Reditus – The AI Affiliate Engine for B2B SaaS(0:08) – What Will Make SaaS Winners in 2026: Adapt Fast or Fall Behind(0:09) – The 2026 Mindset Shift: Stop Fixing Yesterday, Pivot Faster(0:09) – The GTM Implementation Blueprint: Mission → Strategy → Tech → People(0:11) – The “If It Ain't Broke” GTM Trap: How to Spot Hidden Failures(0:11) – The Ultimate SaaS GTM Audit: 1–5 Scoring Across Every Function(0:13) – Bow-Tie Data Mastery: Fix GTM Bottlenecks Faster With AI(0:14) – From 0 → 10K MRR: ICP, Feedback Loops & Avoiding Enterprise Traps(0:16) – Scaling to $10M ARR: ICP Alignment, Feature Pruning & $100M Roadmap(0:17) – Evolving Your ICP: Stay True to Your Customer & Your Mission(0:17) – Connect With Richard Schenzel on LinkedIn

Ismael (Founder/CEO) and Nate (Defense GTM) from Lagrange explain why the biggest commercial demand for cutting-edge cryptography might be outside crypto—securing AI in defense, healthcare, and regulated finance. We cover: why they built DeepProof (a zero-knowledge ML library that proves model outputs over private inputs), how this fits the DoD's zero-trust mandates, and why frontier crypto R&D should serve national interest, not just faster token launches. We also dig into GTM with government, what zero-knowledge adds beyond TLS, and how to talk “applied cryptography” without getting stuck in a “crypto” stigma.Key timestamps[00:00:00] Cold Open: Ismael on crypto funding frontier cryptography beyond tokens[00:01:00] Introduction: Sam sets up Lagrange, AI, defense, and applied cryptography[00:03:00] Origin Story: Ismael's path from TradFi and VC to founding Lagrange[00:06:00] Why Defense: Using crypto-funded cryptography for national security and AI safety[00:10:00] DeepProof Explained: Proving AI model outputs over private inputs with ZK[00:15:00] Business Model: “OpenAI sells inference; we sell proofs”[00:18:00] Beyond Crypto: Healthcare, compliance, and dual-use cryptography[00:22:00] Nate's Role: Selling applied cryptography to defense without leading with “crypto”[00:27:00] Lagrange Vision: Cryptographic supremacy and becoming the verifiability layer[00:33:00] Roadmap & Ask: Expansion into defense, partners with serious AI workloadsConnecthttps://www.lagrange.dev/https://www.linkedin.com/company/lagrange-labs/https://www.linkedin.com/in/i20h/https://x.com/lagrangedevhttps://x.com/Ismael_H_RDisclaimerNothing mentioned in this podcast is investment advice and please do your own research. It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Get featuredBe a guest on the podcast or contact us – https://www.web3pod.xyz/

For their 100th episode, Ray "Growth" Rike and Dave "CAC" Kellogg get philosophical, inspired by the notion that many hold, which is "nothing works" in B2B GTM anymore - especially in regards to pipeline development.They dive into the 2025 State of B2B GTM Report by Kyle Poyar and Maja Voijc to challenge this idea and find out what GTM leaders are actually prioritizing.In this episode, The Metrics Brothers break down:The State of the Market: Analyzing a survey of 195 GTM leaders, including data on small companies, growth rates, and the surprising lack of correlation between GTM motion and growth.The "Pipeline Crisis": Discussing why scaling existing GTM motions is the number one priority, even when many GTM leaders feel their current efforts aren't effective.Too Much Noise: A look at the "distraction chart" [slide 12] showing the staggering number of channels and strategies B2B companies are trying, and why the report suggests this is "too much".The Tried and True GTM Quadrant: Highlighting the activities with the biggest likelihood of impact, including Intimate Events, Intent-Based Inbound, and LinkedIn [slide 13].The Winner Take All Future: Exploring the massive trend of investing in Answer Engine Optimization (AEO) [slide 18] and breaking down tactical recommendations for optimizing for ChatGPT and other answer engines, emphasizing the importance of facts and platforms like Reddit and G2 [slide 19].Must Try GTM Tools: Reviewing the next generation of GTM tools, with a focus on cutting-edge platforms like Clay, Lovable, Sora, and Replit for data automation, outbound, and video generation [slide 29].Whether you're a Founder, CMO, CRO or GTM leader, this episode offers a data-driven look at where to focus your budget and attention in the year ahead.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 CRO Spotlight, Warren Zenna sits down with Christian Gerron, Chief Revenue Officer at StackAdapt. They dive into the complexities of the programmatic ad tech space, a market saturated with thousands of players. Christian explains how StackAdapt differentiates itself by moving beyond a simple DSP to become a unified "operating system," helping marketers reduce friction and increase ROI by integrating first-party data, programmatic, and measurement tools in one platform.Christian shares his unconventional journey into the C-suite, starting his career in finance at Microsoft before transitioning to sales and operations. He defines the CRO role not as a "super seller" but as an operator responsible for building and tuning the entire revenue "machine." This connected ecosystem includes sales, client services, analytics, and RevOps, all working in unison. He discusses why the authority to execute and drive impact is the true motivator for top revenue leaders.How do you execute in such a cutthroat market? Christian details the GTM transformation at StackAdapt. He describes moving the team from a generalist approach—where everyone targeted the same high-value territories—to a specialized and segmented model. By implementing focused territories, specializing by vertical (like B2B or healthcare), and splitting teams into "hunters" (new business) and "farmers" (account growth), the revenue org achieved faster, more efficient growth.Christian emphasizes that talent and culture are the ultimate differentiators. At StackAdapt, the hiring process is designed to find functional competency while actively filtering out "politics players" to protect a culture of trust and speed. He concludes with powerful advice for both aspiring CROs (focus on operational rigor and talent) and the CEOs hiring them (find a true "business leader" who thinks in systems, and then give them the autonomy to build the machine).

Send me a text (I will personally respond)Are you struggling to scale your cybersecurity sales team without ramping up headcount or getting drowned in technical complexity? Wondering if AI can really move the needle for high-value, complex sales cycles? Curious how leading founders are reimagining go-to-market operations to win in today's fast-paced, AI-driven environment? This episode of the Cybersecurity Go-To-Market Podcast dives right into these pressing questions.In this conversation we discuss: 

AI One, the enterprise context management platform that helps organisations give AI the business context it needs to make decisions, has announced it has raised $11 million in total funding. The round includes $7 million in Series A funding with participation from Vestigo Ventures and existing investors. AI One's platform enables large organisations to transform their operations by connecting directly to SaaS platforms like Salesforce and Workday, as well as on-premise and legacy systems, extracting context from fragmented data, and delivering measurable outcomes in weeks, not years. AI One addresses a problem that's become increasingly visible as companies try to move beyond pilots: AI models don't understand the context of the businesses they're deployed in. Despite billions spent on data infrastructure, most enterprises still operate across disconnected systems that make it nearly impossible for AI to make informed decisions. AI One tackles this with a new class of technology called Enterprise Context Management (ECM), which connects directly to existing systems to interpret how data, processes, and policies relate across the organisation. By managing context safely and consistently, the platform enables companies to automate complex workflows and decision-making without costly data migrations or replatforming. It delivers results in as little as 10 weeks and reduces operating costs by up to 80% AI One was founded in 2024 by Conor Twomey and Fergus Keenan, who spent over 15 years in enterprise data and analytics, and saw the pitfalls of large enterprises over-investing in expensive infrastructure overhauls to drive innovation. "Most companies are brute-forcing AI into workflows by endlessly rewriting generic prompts and connectors - a slow, brittle process that's impossible to scale," says Conor Twomey, Co-founder & CEO at AI One. "AI can only perform as well as the context it understands. We created AI One to give enterprises control over that context so their AI isn't guessing, it's operating with understanding." Since its inception, AI One has already delivered measurable results for its clients: A global bank cut reconciliation errors by 90% in four months, saving millions annually and reducing manual review from 400,000 cases to under 5,000. A healthcare provider reduced member onboarding time from 15 days to 3 days, accelerating revenue recognition and patient access. An insurance group improved its straight-through processing rate from 89% to 97%, shortening claims cycles and boosting customer satisfaction. "AI One is solving one of the hardest problems in enterprise AI: perception," said Mark Casady, General Partner at Vestigo Ventures. "The platform's ability to activate enterprise context without requiring data migration or replatforming is a breakthrough. It turns AI from a concept into measurable business impact in record time." AI One intends to use the funding to expand its customer base, targeting Fortune 500 businesses in financial services, energy, healthcare, insurance, and private equity, and continue to build its platform. The team has grown to 20 employees since inception with recent hires across GTM, platform, and field engineering. See more stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your business. Why not drop us a line at Info@IrishTechNews.ie now to find out more about how we can help you reach our audience. You can also find and follow us on Twitter, LinkedIn, Facebook, Instagram, TikTok and Snapchat.

Screens have pulled families apart. Brynn Putnam set out to bring them back together with Board, the world's ‘first face-to-face game console.'On Grit, she tells Joubin Mirzadegan how every venture she's built, including Mirror, started as a personal need, and how her true edge is the ability to strip an idea down to what actually matters.Guest: Brynn Putnam, founder and CEO of BoardConnect with Brynn PutnamXLinkedInConnect with JoubinXLinkedInEmail: grit@kleinerperkins.com​Learn more about Kleiner Perkins

In this episode of Game Changers for Government Contractors, Michael LeJeune speaks with Alexa Tsui about the industry shift from traditional business development and capture toward disciplined go-to-market (GTM) strategies. Alexa explains why top tech entrants (Palantir, OpenAI, etc.) hire “go-to-market” leaders, not old-school BD roles, and why GovCon companies must stop piling up tools and start building a repeatable story, capability portfolio, and process. Learn the essentials: define what you sell, clarify your “why,” craft case-study-driven stories, use LinkedIn strategically, and prioritize painkillers over vitamins. If you want a focused pipeline, clearer decisions, and faster scale, this episode shows where to start. ----- Frustrated with your government contracting journey? Join our group coaching community here: federal-access.com/gamechangers Grab my #1 bestselling book, "I'm New to Government Contracting. Where Should I Start?" Here: https://amzn.to/4hHLPeE Book a call with me here: https://calendly.com/michaellejeune/govconstrategysession

#306 Executive Insights | This episode was recorded live at our annual event, Drive 2025. I hosted Sylvia LePoidevin (CMO, Kandji), Trinity Nguyen (CMO, UserGems), and Natalie Taylor (Head of Marketing, Capsule) for a leadership panel breaking down what's working in B2B marketing. They get into events that reliably create pipeline, outbound that still converts, media plays LLMs keep citing, and the tactics they've stopped running (like generic webinars that no one shows up for).Want to come to Drive next year? Head over to exitfive.com/drive to join the waitlist for Drive 2026 and be the first to know when tickets go on sale.Timestamps(00:00) - – Intro + Drive 2025 context (02:47) - – Meet the speakers: Sylvia, Trinity, Natalie (04:39) - – The one thing each leader refuses to give up (04:50) - – How Capsule turns events into their #1 pipeline channel (08:53) - – Why outbound still works (and how UserGems does it) (13:46) - – How Kandji built a media property that LLMs actually cite (18:12) - – Plays they stopped doing (blogs, generic content, virtual thought leadership) (25:56) - – Playing offense: Shark Tank Day and GTM alignment (31:20) - – Team wide alignment strategies that drive revenue Join 50,0000 people who get our Exit Five Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Today's episode is brought to you by Knak.Email (in my humble opinion) is the still the greatest marketing channel of all-time.It's the only way you can truly “own” your audience.But when it comes to building the emails - if you've ever tried building an email in an enterprise marketing automation platform, you know how painful it can be. Templates are too rigid, editing code can break things and the whole process just takes forever. That's why we love Knak here at Exit Five. Knak a no-code email platform that makes it easy to create on-brand, high-performing emails - without the bottlenecks.Frustrated by clunky email builders? You need Knak.Tired of ‘hoping' the email you sent looks good across all devices? Just test in Knak first.Big team making it hard to collaborate and get approvals? Definitely Knak.And the best part? Everything takes a fraction of the time.See Knak in action at knak.com/exit-five. Or just let them know you heard about Knak on Exit Five.***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

Brian Balfour, Founder & CEO of Reforge and former VP of Growth at HubSpot, joins Mostly Growth to explore why product-market fit is a moving target. He introduces the concept of the Product-Market Fit Treadmill, a state where rising customer expectations and competitive pressure make it harder than ever to stay ahead. Brian breaks down how AI has accelerated PMF collapse, explains the hidden costs of product adoption, and shares how Reforge shipped five AI-native products with a team of just 20 people. Packed with frameworks, strategic insight, and startup realism, this episode is essential listening for product leaders, operators, and founders navigating the next wave of GTM.—SPONSORS:Pulley is the cap table management platform built for CFOs and finance leaders who need reliable, audit-ready data and intuitive workflows, without the hidden fees or unreliable support. Switch in as little as 5 days and get 25% off your first year: https://pulley.com/mostlymetricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.com—LINKS:Mostly Metrics: https://www.mostlymetrics.comCJ on LinkedIn: https://www.linkedin.com/in/cj-gustafson-13140948/Growth Unhinged: https://www.growthunhinged.com/Kyle on LinkedIn: https://www.linkedin.com/in/kyle-poyar/Brian Balfour: brianbalfour.comBrian on LinkedIn: https://www.linkedin.com/in/bbalfour/Slacker Stuff: https://www.slackerstuff.com/Ben on LinkedIn: https://www.linkedin.com/in/slackerstuff/https://brianbalfour.com/four-fits-growth-frameworkhttps://x.com/amasad/status/1981201454032703662?s=46https://getlatka.com/companies/firefliesaihttps://x.com/rowancheung/status/1988218743952916537?https://gamma.app/insights/how-we-built-a-usd100m-business-differently—RELATED EPISODES:When the marketing math doesn't math | with Emily Kramerhttps://youtu.be/sSuoV_YSrlwWhy Founders Are Posting Sad Dinnershttps://youtu.be/Zl6NSIHF2Gk—TIMESTAMPS:00:00:00 Preview and Intro00:01:51 Sponsors – Pulley, Metronome00:04:11 Introducing Brian Balfour & Reforge background00:07:22 Evergreen frameworks & Four Fits resurgence00:11:01 PMF treadmill and rising expectations00:14:26 AI shocks and PMF collapse (Chegg)00:16:43 CRM expectations & AI-native workflows00:20:44 R&D as ongoing cost to serve00:22:26 Customers buying based on future product velocity00:24:32 Communicating rapid releases & driving adoption00:25:17 Reforge's expanding AI product suite00:27:52 Product delivery vs. product adoption bottlenecks00:29:32 Platform distribution shifts introduction00:30:51 Evaluating emerging platforms00:32:04 The open → close platform cycle00:33:31 Moats, escape velocity & platform dominance00:36:32 Choosing major vs. emerging platforms00:40:22 ChatGPT dominance in AI discovery00:42:16 Hiring, resumes & filtering AI-generated applications00:43:30 AI note-taking market & “Flintstoning”00:47:03 Trying Gamma & AI-generated presentation tools00:50:08 AI onboarding innovations (WhatsApp agent)#MostlyGrowthPodcast #ProductMarketFit #BrianBalfour #StartupStrategy #Reforge This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit cjgustafson.substack.com

Srikrishna Swaminathan is the Co-Founder and CEO of Factors.AI, a platform that helps B2B marketers understand, attribute, and optimize their go-to-market performance through data-driven insights. With a career spanning product, sales, and strategy, Sri has built and scaled high-performing teams, including a $100 million business unit at InMobi, before turning his focus to marketing analytics and revenue intelligence.At Factors.AI, Sri has led the company's mission to simplify complex marketing data by unifying customer journeys, automating attribution, and surfacing actionable insights for marketers. He emphasizes the importance of connecting marketing activity to real business outcomes, advocating for transparency, precision, and measurable impact in every GTM motion.In this episode we cover:00:00 - Intro01:21 - Understanding the Buyer Journey05:27 - The Role of AI in Marketing Execution11:02 - Navigating Privacy and Personalization in Ads14:37 - Leveraging Intent Data for Targeting19:53 - The Emergence of GTM Engineering22:06 - Creating a Unified Data View for Decision Making25:31 - Personal Insights and Advice from Sri26:00 – Sri's Favorite Activity to Get Into a Flow State27:22 – Sri's Advice for His Younger Self29:12 – Biggest Challenges and Goals for Factors AI31:06 – Instrumental Resources for Sri's Success33:09 – What Does Success Mean for Sri Today35:26 – Get in Touch with SriGet in Touch with Sri:Sri's LinkedInSri's EmailMentions:Abraham EralyBen Horowitzfactors.aiInMobiHubSpotG2BomboraZapierWebflowSlackWhatsAppClickUpNotionBooks:The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers by Ben HorowitzTag Us & Follow:FacebookLinkedInInstagramMore About Akeel:Twitter

In this episode of OnBase, host Chris Moody sits down with Corrina Owens to explore the evolution of account-based marketing, the misconceptions that still persist, and why most companies miss their biggest growth opportunity: their existing customers.Corrina details her non-traditional path into marketing, the value of being a generalist, and how ABM shifted from a set of disconnected tactics to a true go-to-market operating model. She breaks down the critical role of ICP development, the importance of analyzing first-party data, and why sales alignment is still the strongest predictor of ABM success.The conversation also dives into customer expansion strategies, the rise of AI as a democratizer of data, and the ABM plays every B2B organization should be running. Corrina shares practical examples, thoughtful commentary on relationship-building skills in the age of automation, and the mindset sellers and marketers need to stand out in modern B2B.Key TakeawaysABM is a go-to-market strategy, not a set of tacticsMost teams still define ABM as direct mail or targeted ads, but sustainable ABM success requires cross-functional alignment, sales process maturity, and clarity on the ICP.Your first-party data holds the real ICP insightsInstead of wish-list accounts or executive bias, the strongest ICP definitions come from analyzing a full fiscal year of closed-won and closed-lost data to uncover patterns.Customer expansion is the biggest missed opportunityOn average, companies land only about 30% of a customer's total ARR potential on initial purchase. Yet most marketing and ABM efforts stop immediately post-sale. Customer ABM should be a core motion.AI is democratizing data accessWhat once required multiple tools and data science resources can now be achieved with ChatGPT and well-structured prompts. AI helps teams iterate faster, brainstorm creatively, and pressure-test messaging.Human connection is the new differentiatorSellers struggle with relationship-building across channels, especially in a digital-first world. The ability to communicate authentically, not from templates, is becoming a critical skill.Give-first ABM plays drive the deepest brand impactPodcast invitations, industry award nominations, and sponsoring internal team events create memorable, non-transactional experiences that earn trust.Quotes“The best ABM plays are pure give tactics. You're not asking for anything back.”Tech recommendationsLovableChatGPTGeminiResource recommendationsThe Power of Onlyness by Nilofer Merchant – a powerful exploration of embracing your unique perspective and bringing your fullest self to your work.12 ABM plays by Corrina OwensShout-outsChristina Le, Head of Marketing at Plot.About the GuestCorrina Owens is the go-to GTM mind behind some of the most effective ABM plays in B2B SaaS. She's led award-winning programs at Gong and now works fractionally, advising and implementing pipeline-driving strategies at companies like Orum, TripleLift, Navattic, and UserGems.⁠Connect with Corrina⁠.

In our latest episode, our co-hosts Robby and Tim talk with Yoni Michael and Kostas Pardalis, Co-Founders of Typedef. Both have deep backgrounds in data infrastructure (Starburst, Tecton, etc.) and, after meeting through a "blind date" at Blue Bottle Coffee, decided to team up to address the growing brittleness of large-scale data pipelines - issues made worse by the rise of AI.They explain how traditional systems like Spark weren't designed for today's AI workloads, especially unstructured data and LLM inference. Fenic was their answer: an open-source engine and DataFrame library built specifically for LLM workflows, multi-step reasoning, and agentic systems - without the operational complexity.Their biggest lessons: start GTM early, talk to as many data leaders as possible, and keep validating - insights that led directly to open-sourcing Fenic and building its MCP-powered developer experience.

After 20+ years at some of the most important Silicon Valley tech companies like Yahoo, LinkedIn, Oracle, Informix and NerdWallet, Bhaskar today leads investment of enterprise infrastructure companies at 8 VC.Bhaskar Ghosh spent 20+ years at some of the most important Silicon Valley tech companies before moving into venture capital as a Partner at 8VC.After completing his PhD in computer science from Yale, he worked across Yahoo, LinkedIn, Oracle, Informix and NerdWallet. He brings this experience to founders building the next generation of enterprise infrastructure companies.In this episode Bhaskar explains how IT services are being reimagined for India, a country that over the last 25 years turned its skilled workforce into a global services engine. We discuss the shift happening inside workflows most people do not think about: mid-office ops, call centers, insurance, travel and HR. These are areas where thousands of people move information every day, and where AI is now good enough to take over entire workflows.Bhaskar talks about the founders already building in this space, including those buying traditional services companies and rebuilding them with AI at the core. He also explains why this new wave will not behave, scale or be valued like SaaS, because this is no longer pure software. It is the reinvention of services.If you are a founder making engineering decisions, someone curious about the less visible layers of software, or interested in people who move technology forward, this conversation with Bhaskar is for you.00:00 –Trailer03:03 – How India will reimagine IT services (TCS, Infosys)04:32 – “why now” of services06:07 – How unstructured data became easier to handle?07:53 – What LLMs can do today with high precision10:35 – Use of GenAI will increase margins in services11:54 – Front & mid offices will become more productive and lean14:30 – Will a pure services business scale anymore?15:55 – Legacy service businesses + AI-first software20:04 – Real challenge to operate and scale such businesses20:33 – 3 reasons on why SaaS companies get higher multiples?22:06 – Network-effect players win big in SaaS24:18 – Replacing software v/s replacing services26:16 – Business without inherent network effects (yet)28:22 – Is AI unlocking TAM larger than Software era?30:57 – How prosperity of a country influences growth of Co's32:50 – India's tech talent is key to India-US corridor39:36 – Deeply disruptive AI Co's will come from India43:04 – How new-age AI services companies of India should grow in US?44:39 – Current BPOs have an unfair advantage47:21 – Will older BPOs understand the importance of AI?49:22 – A Moat in outcome-based pricing can replace old businesses51:50 – Has the US ever been sensitive to cost?55:23 – The new AI-enabled services have a Palantir-risk flavour58:47 – Where to build when model Co's eat forward & backward revenue?01:06:10 – What type of founding teams are needed?01:08:10 – How founders think about GTM is changing-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonSend us a text

Defense technology has shifted from a social liability in Silicon Valley to commanding 35-40% of venture capital allocation—up from a historical 10%. This isn't just trend-following; it reflects fundamental market dynamics as SaaS becomes hypercompetitive and AI lowers barriers to entry, pushing capital toward deep tech where moats still exist. Blacklake, a defense holdco based in Austin, helps emerging defense companies navigate government procurement and expand into Europe, Asia-Pacific, and allied markets. In this episode, Jeff Crusey, EVP of Technology & Acquisition at Blacklake, reveals the emerging defense tech playbook, explains why lobbying ROI dwarfs traditional GTM spending, and details what actually matters when hardware meets government procurement. Topics Discussed: Why VC capital is rotating from SaaS to deep tech and defense The defense tech go-to-market playbook versus enterprise SaaS mechanics SBIR grant programs as non-dilutive capital for hardware development Lobbying and appropriations as core revenue drivers, not nice-to-haves Field deployment and operator feedback as the only viable iteration strategy Investor evaluation criteria for hardware-intensive defense businesses Emerging threat vectors in Arctic defense and orbital domain awareness GTM Lessons For B2B Founders: Launch lobbying concurrent with SBIR Phase 1 applications: Companies initiating lobbying and appropriations work at the moment they apply for SBIR grants hit revenue milestones materially faster than those treating government affairs as a later-stage function. This means seed-stage companies maintain Capitol Hill presence—a pattern that didn't exist five years ago. The talent profile matters: government affairs hires need proven relationships within specific congressional committees and appropriations staff. Initial engagements typically involve external lobbying advisors with established networks, transitioning in-house at Series A when contract pipeline justifies dedicated headcount. This is consistently the highest-ROI channel in defense GTM. Optimize for deployment speed over system perfection: Modern conflict operates as continuous technological adaptation where capabilities become obsolete within weeks, not years. Companies achieving persistent field presence with operators—not laboratory perfection—win iterative cycles. The tactical approach: deploy minimum viable hardware to operational environments, capture real-world performance data and failure modes, then rapidly incorporate feedback into next iterations. This contradicts traditional defense procurement assumptions about "exquisite systems" and requires founders to resist over-engineering before battlefield validation. Solve the prototype funding problem through non-dilutive capital: Defense investors require working prototypes before capital deployment due to hardware risk profiles—fundamentally different from software's low marginal cost of iteration. This creates a chicken-and-egg problem: prototypes require capital, but capital requires prototypes. The solution path combines bootstrapping to early proof-of-concept, then leveraging SBIR Phase 1 grants (tens of thousands) to reach demonstrable prototype stage. Phase 2 awards (single-digit millions) fund production validation. Strategic founders pursue direct-to-Phase-2 pathways when possible, compressing the timeline from concept to validated demand signal. Strip technical complexity from investor communications: Defense founders with deep domain expertise consistently over-index on technical sophistication during fundraising conversations, losing investor attention before reaching commercial traction narratives. VCs evaluate market timing, defensibility, and path to scale—not engineering elegance. The correction: communicate technology at middle-school comprehension levels. This isn't condescension; it's recognizing that capital allocators optimize for portfolio construction, not technical peer review. Founders often feel they're "dumbing down" their innovations, but clarity on problem-solution fit and market size matters infinitely more than technical specifications during early fundraising stages. Treat SBIR phases as progressive demand validation, not just funding: The phased SBIR structure functions as government-backed demand signaling: Phase 1 validates concept feasibility, Phase 2 confirms development viability, Phase 3 demonstrates production readiness for potential program of record status. Investors decode these phases as risk reduction milestones. Phase 1 awards indicate government interest; Phase 2 awards (especially direct-to-Phase-2 or enhanced Phase 2) signal validated customer pull; Phase 3 contracts position companies for program of record awards worth hundreds of millions annually. Beyond capital, SBIR progression provides founder-market fit evidence and customer commitment that traditional LOIs cannot match in defense contexts. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Amit walked away from being President of 1-800-Flowers after scaling it from $500M to $2B because he saw smart people trapped in dumb systems. His insight: half of global GDP is 90% manual work—salespeople entering data instead of selling, technicians reading manuals instead of fixing. He started Instalily in Spring 2023 when everyone said AI agents were impossible. Instead of replacing workers, he built AI that finds signals in noise—telling each salesperson exactly which deal to focus on right now. The results are insane: $1M ARR within months, tripling revenue year two, delivering $150M+ value to single customers. His secret? While competitors pitched flashy demos, Amit's team attended 100+ trade shows to understand actual operator pain. They hired fresh AI grads who "shipped fearlessly" instead of senior talent stuck in old paradigms.Why You Should Listen:How "operator market fit" beats product market fit for enterprise salesThe GTM playbook that hit $1M ARR in months by attending 100+ trade showsWhy hiring AI-native grads crushed hiring senior talent for AI productsHow focusing on time-to-value unlocked enterprise dealsThe counterintuitive approach: augment the best parts of jobs, not the worstKeywords:startup podcast, startup podcast for founders, Instalily, Amit Shah, AI agents, enterprise sales, operator market fit, B2B SaaS, AI automation, vertical SaaS00:00:00 Intro00:04:42 Leaving 1-800-Flowers00:09:55 Starting when everyone said AI agents were impossible00:11:51 The vision—amplify the best parts of work, not replace the worst00:16:59 Operator market fit over product market fit00:20:48 Landing first $2B enterprise customers 00:29:00 The 100+ trade show GTM strategy that actually worked00:33:02 Why they hired AI-native grads instead of senior talent00:34:51 Hitting $1M ARR in monthsRetrySend me a message to let me know what you think!

In this episode, Dan Englander sits down with Garrett Jestice, former CMO and founder of Prelude, to unpack how to turn that randomness into a repeatable Go-To-Market (GTM) system that actually compounds.Garrett helps B2B agencies and service businesses replace scattered marketing efforts with a focused GTM strategy built on customer proof — clarifying audience, offer, messaging, and channels so growth stops being a guessing game.They break down why most agencies start with the wrong things (channels before clarity), how to pick the right market segment, and how to make growth repeatable without losing focus or burning resources. What You'll LearnWhy most agencies get stuck after $1M — and how to fix itThe four foundations of a real GTM system: Audience, Offer, Messaging, ChannelsHow to pick one market segment and own it (without overthinking TAM)Why you can't scale custom work — and what to do insteadThe “maintenance and support” offer that helped one agency grow fasterWhen to productize vs. stay bespokeHow to make referrals and warm intros systematic, not luckyWhy every audience–offer combo needs its own GTM strategyHow to align sales, marketing, and delivery around the same message

Jyoti Bansal is the co-founder and CEO of Harness, the software delivery platform used by thousands of engineering teams, and previously founded AppDynamics, which he led from inception to a multibillion-dollar acquisition by Cisco. In this episode, Jyoti unpacks what it really takes to move from mid-market to enterprise, why he thinks in terms of “product-market-sales fit,” and how he structures Harness as a collection of “startups within a startup” to launch multiple “best-of-breed” products. In today's episode, we discuss: Why companies get stuck in the mid-market and struggle to move up into enterprise Why Jyoti deliberately lost Netflix as their customer The difference between product-market-sales fit, and product-market-fit How to build a scalable, capacity-driven go-to-market machine (instead of chasing deals) Diagnosing whether you have a product problem or a distribution problem How to hire and evaluate your first head of sales and top sales leaders Why Jyoti sold AppDynamics three days before IPO The “binary differentiator” rule for launching new products into crowded markets Why Harness runs 16 product lines under one roof Where to find Jyoti: LinkedIn: https://www.linkedin.com/in/jyotibansal/ Twitter/X: https://x.com/jyotibansalsf Where to find Brett: LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/ Twitter/X: https://twitter.com/brettberson Where to find First Round Capital: Website: https://firstround.com/ First Round Review: https://review.firstround.com/ Twitter/X: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast References: Amazon: https://www.amazon.com/ AppDynamics: https://www.appdynamics.com/ Barclays: https://home.barclays/ BIG Labs: https://www.biglabs.com/ Carlos Delatorre: https://www.linkedin.com/in/cadelatorre/ Charles Schwab: https://www.schwab.com/ Cisco: https://www.cisco.com/ Citi: https://www.citi.com/ Cloudability: https://www.apptio.com/products/cloudability/ Datadog: https://www.datadoghq.com/ Dynatrace: https://www.dynatrace.com/ Harness: https://www.harness.io/ Jeff Bezos: https://x.com/JeffBezos Microsoft: https://www.microsoft.com/ Nasdaq: https://www.nasdaq.com/ Netflix: https://www.netflix.com/ New Relic: https://newrelic.com/ Salesforce: https://www.salesforce.com/ Splunk: https://www.splunk.com/ Traceable: https://www.traceable.ai/ Unusual Ventures: https://www.unusual.vc/ VMware: https://www.vmware.com/ Timestamps: (01:48) Why do companies get stuck in the mid-market? (05:09) Designing a product for enterprise and mid-market (07:19) Why Jyoti lost Netflix as a customer - on purpose (10:18) Becoming a scalable GTM organization (12:32) The real signs of product-market fit (14:04) Have you delivered the value? (15:46) How to hire your first sales team (19:59) The four signs of excellent sales leaders (23:16) How to interview a sales leader (27:51) Where Jyoti developed his commercial taste (29:37) Why early founders need to learn sales (32:02) How AppDynamics began (36:36) Why Jyoti sold three days pre-IPO (41:55) What does a healthy board look like? (44:23) How Jyoti perceives competition (46:18) Why you need a binary differentiator (49:53) How to launch multiple products (52:00) “We need to be best of breed” (57:38) Why PMs are like mini-entrepreneurs (1:00:20) The startup within a startup (1:02:45) A culture of continuous improvement

Kellie Capote emphasizes the importance of having both a mentor and a sponsor in one's career. She explains the distinction between the two, highlighting that while mentors provide guidance, sponsors have the influence to promote and advocate for you within an organization. Kellie shares her personal experiences and stresses the need for individuals to advocate for themselves in their professional journeys.Kellie resides in Austin, TX, where she is a proud wife and mother to two daughters. She is the Chief Customer Officer at Bonterra, a social good software company supporting 15,000+ nonprofits and over half of Fortune 100 companies.  It has over 1000 employees.Between deep funding cuts and record-high service demand, nonprofits are facing an existential challenge. Kellie can offer a rare POV on (female) executive leadership in one of the most at-risk industries and how to rethink customerrelationships when the stakes are survival.Kellie also co-authored a book, Digital Customer Success: The Next Frontier on digital customer success, which Bonterra's Women in Tech Book Club read and discussed earlier this year. Energetic and results-driven customer success and GTM executive with 20 years of experience fostering customer relationships and leading customer facing teams. Proventrack record of driving customer growth, retention and reference-ability through building trusted advisor relationships and driving measurable business outcomes for customers. Deeply passionate about customer success being the growth engine of your organization.CURRENT PROJECTS TO PROMOTE:1.      October 1st: Bonterra launched Que,the first fully agentic AI platform purpose-built for the social good sector, spanning the entire ecosystem of funders, nonprofits, and supporters. 2.      September 8th: Bonterra released the Meetthe Moment: Navigating Funding Disruption report which reveals how federal budget shifts are straining organizations already stretched by rising community needs. The report is based on a survey of 2,608 nonprofit leaders and 107 funders.  bonterratech.com Kellie's Linkedin All social channels: @bonterratech            

When markets are kind, anyone can look like a genius. The test arrives when conditions turn—your systems, skills, and character decide what happens next.  What are the five drivers every leader must master? The five drivers are: Self Direction, People Skills, Process Skills, Communication, and Accountability. Mastering all five creates resilient performance across cycles. In boom times (think pre-pandemic luxury hotels in Japan) tailwinds mask weak leadership; in shocks (closed borders, supply chain crunches) only strong drivers keep teams delivering. As of 2025, executives in multinationals, SMEs, and startups alike need a balanced "stack": vision and values (Self Direction), talent and trust (People), systems and analytics (Process), clear messaging and questions (Communication), and personal ownership (Accountability). If one leg is shaky, the whole table wobbles. Do now: Score yourself 1–5 on each driver; identify your lowest two and set 30-day improvement actions.  Mini-summary: Five drivers form a complete system; strength in one can't compensate for failure in another. How does Self Direction separate steady leaders from "lucky" ones? Self-directed leaders set vision, goals, and culture—and adjust fast when reality bites. Great conditions or an inherited A-team help, but hope isn't a strategy. As markets shift in APAC, the US, or Europe, leaders with grounded values and a flexible ego change course quickly; rigid, oversized egos drive firms off cliffs faster. The calibration problem is real: we need enough ego to lead, not so much that we ignore evidence. In practice that means owner-dated goals, visible trade-offs, and a willingness to reverse a decision when facts change. Do now: Write a one-page "leader operating system": purpose, top 3 goals, non-negotiable values, and the conditions that trigger a pivot.  Mini-summary: Direction + adaptability beats bravado; values anchor the pivot, not the vanity. Why are People Skills the new performance engine? Complex work killed the "hero leader"; today's results flow from psychologically safe, capability-building teams.Whether you run manufacturing in Aichi, B2B SaaS in Seattle, or retail in Sydney, you need the right people on the bus, in the right seats. Trust is the currency; without it, there is no team—only compliant individuals. Servant leadership isn't slogans; it's practical: career conversations, strengths-based job fit, and coaching cadences. Climbing over bodies might have worked in 1995; in 2025 it destroys engagement, innovation, and retention. Do now: Map your team on fit vs. aspiration. Realign one role this fortnight and schedule two growth conversations per week for the next month.  Mini-summary: Build safety, match talent to roles, and coach growth; teams create the compounding returns, not lone heroes. What Process Skills keep quality high without killing initiative? Well-designed systems prevent good people from failing; poor processes turn stars into "low performers." Leaders must separate skill gaps from system flaws. Mis-fit is common—asking a big-picture creative to live in spreadsheets, or a detail maven to blue-sky strategy all day. Across sectors, involve people in improving the workflow; people support a world they help create. And yes, even "Driver" personalities must wear an Analytical hat for the numbers that matter: current, correct, relevant. Toyota's jidoka lesson applies broadly: stop the line when a defect appears, then fix root causes. Do now: Run a 60-minute process review: map steps, assign owners, check inputs/outputs, and identify one automation or simplification per step.  Mini-summary: Design beats heroics; match roles to wiring, make data accurate, improve the system with the people who run it. How should leaders communicate to create alignment that sticks? Great leaders talk less, listen more, and ask sharper questions—then verify that messages cascade cleanly.Communication isn't a TED Talk; it's a discipline. Listen for what's not said, surface hidden risks, and test understanding down the line. In Japan, nemawashi-style groundwork builds alignment before meetings; in the US/EU, crisp owner-dated action registers keep pace high without rework. In regulated fields (finance, healthcare, aerospace), clarity reduces audit friction; in creative and GTM teams, it accelerates experiments. Do now: Install a weekly "message audit": sample three layers (manager, IC, cross-function) and ask them to restate priorities, risks, and decisions in their own words.  Mini-summary: Listen deeply, question precisely, and ensure the message survives the org chart; alignment is measured at the edges. Where does Accountability start—and how do you make it contagious? Accountability starts at the top: the buck stops with the leader, without excuses—and then cascades through coaching and controls. As of 2025, boards and regulators demand both outcomes and evidence. Strong leaders admit errors quickly, fix them publicly, and maintain systems that track results and compliance. Accountability isn't blame; it's ownership plus support: clear goals, training, checkpoints, and consequences. In startups, this prevents "move fast and break the law"; in enterprises, it fights bureaucratic drift. Do now: Publish a one-page scoreboard each Monday (KPIs, leading indicators, risks) and hold a 15-minute review where owners report facts, not stories.  Mini-summary: Model ownership, build coaching and monitoring into the cadence, and make evidence a habit—not a surprise inspection. How do you integrate the five drivers across markets and company types? Balance is contextual: tighten controls in high-risk/low-competency zones; grant autonomy in low-risk/high-competency zones. Multinationals can borrow playbooks (RACI, stage gates), but SMEs need lightweight equivalents to preserve speed. Startups should resist the "super-doer" trap by delegating outcomes early; listed firms should fight analysis paralysis by protecting experiments inside guardrails. Across Japan, the US, and Europe, leaders who pair people development with process discipline outperform through cycles because capability compounds while compliance holds. Do now: Build a "risk × competency" grid for your top workflows and adjust oversight accordingly within 48 hours. Review monthly as skills rise.  Mini-summary: Tune people and process to context; move oversight with risk and capability, not with habit. Conclusion: strength in all five, not perfection in one Leadership success is engineered, not gifted by luck. When conditions turn, Self Direction provides the compass, People Skills provide power, Process Skills provide traction, Communication provides cohesion, and Accountability provides grip. Work the system, in that order, and your organisation will keep moving—legally, safely, profitably—even when the weather's foul.  Author Credentials Dr. Greg Story, Ph.D. in Japanese Decision-Making, is President of Dale Carnegie Tokyo Training and Adjunct Professor at Griffith University. He is a two-time winner of the Dale Carnegie "One Carnegie Award" (2018, 2021) and recipient of the Griffith University Business School Outstanding Alumnus Award (2012). As a Dale Carnegie Master Trainer, Greg is certified to deliver globally across all leadership, communication, sales, and presentation programs, including Leadership Training for Results. He has written several books, including three best-sellers — Japan Business Mastery, Japan Sales Mastery, and Japan Presentations Mastery — along with Japan Leadership Mastery and How to Stop Wasting Money on Training. His works have been translated into Japanese, including Za Eigyō (ザ営業), Purezen no Tatsujin (プレゼンの達人), Torēningu de Okane o Muda ni Suru no wa Yamemashō (トレーニングでお金を無駄にするのはやめましょう), and Gendaiban "Hito o Ugokasu" Rīdā (現代版「人を動かす」リーダー).

Most teams think the answer to growth is simple. Add more. More markets, more products, more layers, more plays. The layer cake approach.It almost never works.It adds complexity, drains focus, and breaks what was already working.In this episode, Toni Holbein and Personio's Koen Stam talk about a better path. Instead of piling on new initiatives, fix the foundation. Improve the things that already drive revenue. Tighten ICP. Narrow focus. Sell better. Enable buyers. Strengthen the ecosystem around you. Document the process so the business does not depend on a few heroes.Do less. Execute better.This episode is brought to you by ZoomInfo, the Go-To-Market Intelligence Platform. ZoomInfo gives you high-quality B2B data and sales intelligence on in-market buyers across companies of all sizes, powered by AI-driven automation with integrated outreach tools to help your GTM teams build pipeline and close deals faster. Check them out at zoominfo.com/revenue-formula Want to work with us? Learn more: revformula.io(00:00) - Introduction (04:37) - Addressing the Great Pipeline Starvation (07:22) - Challenges of the Layered Approach (14:58) - Understanding Revenue Sources (19:19) - Data-Driven Decision Making (24:36) - The Parking Lot Exercise (27:43) - Vanity in Expansion (30:28) - Understanding Y our ICP (31:43) - Building a Target List (34:23) - Enabling Buyers (38:51) - Leveraging Ecosystems (43:55) - Process Over People (48:35) - Final Thoughts and Wrap-Up

How do companies like Salesforce and Dell scale intelligence across every cloud?Aidan Gomez, co-founder and CEO of Cohere, explains how they're building AI that works across all enterprise systems and deploys anywhere, giving companies true flexibility and security.He joins Joubin Mirzadegan for a wide-ranging conversation on why synthetic data went from dismissed to indispensable, and how the race among AI labs is really unfolding.Guest: Aidan Gomez, co-founder and CEO of CohereConnect with Aidan: XLinkedInConnect with Joubin: XLinkedInEmail: grit@kleinerperkins.comLearn more about Kleiner Perkins

In this HANDS-ON episode of GTM Live, we're ditching theory and building a real go-to-market strategy live—using AI, public data, and a completely different approach to finding and messaging prospects.Join host Amber Williams and special guest Jordan Crawford, the "OG GTM Engineer" and early advisor to Clay, for a masterclass in pain-qualified segmentation. Watch as Jordan demonstrates how to use ChatGPT to identify prospects who actually need your solution and craft messages that deliver independent value before you ever ask for a meeting.What You'll Learn:Why traditional ICP scoring is "mental masturbation for executives" and what to do insteadHow to work backwards from customer pain using public data and AIThe game-changing concept of "the list is the message"How to identify demonstrable value props that competitors can't replicateWhy vertical SaaS has a hidden advantage (and what horizontal SaaS can learn)PLUS: Real-time walkthrough: Finding pain-qualified prospects for a clean energy platform using only ChatGPT and public dataAI has transformed tools from "access" to "power tools" overnight. Leaders can no longer delegate strategy to RevOps and hope for the best. You need to get your hands dirty with the data to understand what's actually possible.

**GPT-5.1 just changed the AI game with 3 superpowers most people are completely missing.** In this complete guide, I break down exactly how to use Speed + Warmth, Adaptive Reasoning, and Instruction-Following Precision to 10x your productivity in sales, marketing, and strategy.**What You'll Learn:**✅ How to choose between GPT-5.1 Instant and Thinking modes for maximum ROI✅ The secret adaptive reasoning feature that makes GPT-5.1 85% more accurate✅ Why speed + warmth eliminates endless revision cycles (and saves hours weekly)✅ The 4-part prompt framework for repeatable, reliable AI workflows✅ Real-world applications across sales, marketing, GTM, and executive decisions✅ 5 workflows you can implement TODAY to delegate entire projects to AI**Quick Answer: What is GPT-5.1?**GPT-5.1 is OpenAI's November 2025 release featuring two modes: Instant (prioritizes speed + warmth with adaptive reasoning) and Thinking (deep analysis for complex tasks). It scored 85% on AIME 2025 benchmarks and introduces 8 personality presets for tone control.**Quick Answer: What are GPT-5.1's 3 Superpowers?**1. Speed + Warmth - 2x faster on simple tasks with conversational, human-like tone2. Adaptive Reasoning - Automatically decides when to think deeper (85% AIME score)3. Instruction-Following Precision - Follows specifications exactly, enabling repeatable systems**Quick Answer: Should I use GPT-5.1 Instant or Thinking mode?**Use Instant for 80% of daily tasks (emails, content drafts, quick research). Instant now has adaptive reasoning that automatically engages deeper thinking when needed. Use Thinking mode only for complex strategic decisions, multi-step analysis, or long-context workflows requiring 196K token limit.**Q: What is GPT-5.1?**A: GPT-5.1 is OpenAI's November 2025 AI model release featuring adaptive reasoning, speed optimization, and improved instruction-following. It comes in two modes: Instant (default, fast, with adaptive reasoning) and Thinking (deep analysis for complex tasks).**Q: What are the 3 superpowers of GPT-5.1?**A: 1) Speed + Warmth - 2x faster responses with natural, conversational tone, 2) Adaptive Reasoning - automatically decides when to think deeper (85% AIME benchmark), 3) Instruction-Following Precision - executes exact specifications for repeatable workflows.**Q: Should I use GPT-5.1 Instant or Thinking?**A: Use Instant for 80% of tasks (emails, content, quick analysis). Instant has adaptive reasoning built-in. Use Thinking only for complex strategic decisions, multi-step reasoning, or tasks requiring the 196K token context window.**Q: How much does GPT-5.1 cost?**A: GPT-5.1 is available to ChatGPT Plus ($20/month), Pro ($200/month), Team, and Enterprise users. Free tier access rolled out after paid users. API pricing varies by mode (Instant vs Thinking).**Q: Is GPT-5.1 better than GPT-5?**A: Yes. GPT-5.1 scored 85% on AIME 2025 (vs GPT-5's 75%), responds 2x faster on simple tasks, follows instructions more precisely, and includes adaptive reasoning which GPT-5 lacked. Users describe it as "what GPT-5 should have been."----------------Your competitors are already using AI. Don't get left behind. Weekly strategies used by PE Backed and Publicly Traded Companies → https://www.aiforrevenue.com/superhumanrevenue-newsletterRyan Staley - https://ryanstaley.io/podcast/LinkedIn - https://www.linkedin.com/in/ryan-staley/Explore the latest advancements in **artificial intelligence** with GPT-5! This video explores how to leverage **chatgpt** and other **ai tools** to create powerful **ai productivity tools**. Discover the potential of **generative ai** and create your own **ai teammate** with the newest **gpt5** features.

#304 | AI Buying Shift | This episode is from a recent Exit Five live session where I pulled together Lindsay O'Brien (Head of Marketing & Operations, Predictiv), Tom Wentworth (CMO, incident.io), and Aditya Vempaty (VP of Marketing, MoEngage) for a real talk on how AI is completely rewiring the B2B buying journey. We got into why buyers no longer need your pretty funnel, how AI-powered research changes the sales call, and what that means for your GTM strategy.Timestamps(00:00) - – Intro + Dave Sets the Stage (04:07) - – How AI Is Changing B2B Buying (11:07) - – The Big Shift: Taste, Unscalable Work, and Distribution (16:07) - – Getting Exec Buy-In for “Unmeasurable” Marketing (20:07) - – Does the Funnel Still Matter? (24:07) - – Dead Tactics: Gating, A/B Testing, Lead Score Theater (30:53) - – AI That Actually Works (Real Use Cases) (37:53) - – Team Size, Skills, and the New CMO (43:53) - – Authenticity vs AI: Creative, Video, and Brand (58:53) - – Content Attribution + Final Takeaways Join 50,000 people who get our Exit Five Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Today's episode is brought to you by Paramark.It's November. 2026 planning is already here. And the stuff you're doing right now will decide how next year plays out. But here's the problem: most teams are still planning next year's marketing strategy based on the WRONG DATA because of broken attribution and a misleading gut feel.  And you can't make smart budget calls if you're just guessing what's working, what's not, and where to put your next dollar.That's where Paramark comes in. They help you replace the guesswork with actual insight backed by $2 billion in analyzed marketing data. They've figured out what actually drives incremental growth across every channel including LinkedIn, Meta, TikTok, Google, CTV, even OOH.And right now, they're offering a private 1:1 consultation with their CEO and CMO, Pranav and Sam, who have led marketing teams at companies like Dropbox, Adobe, Microsoft, and Shutterfly. In this 45-minute strategy session, they'll help you measure the real impact of every marketing dollar, pull insights from your current media mix, and design a 2026 roadmap that's rooted in data, not gut.This is a heck of an offer. And it's real. And will go fast. So if you want to future-proof your marketing strategy for 2026, don't miss out on this offer.Grab your spot at paramark.com/brand-consult.***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

The best B2B brands don't just tell a story. They live it across every team, channel, and touchpoint.  But how do you get everyone aligned — from sales to customer success — without the story getting lost in translation (or buried in features)?  That question sits at the center of this conversation, as Drew talks with Marca Armstrong (Sensera Systems) and Caitlin Cassady (Beyond) about how to build a team of company-wide storytellers. From capturing customer language to coaching teams on how to use it, they reveal how to make your story stick—and scale. In this episode:  Marca starts with a simple headline story ("build with confidence") and ensures it shows up consistently in every GTM motion.  Caitlin turns real customer stories into marketing fuel, using a "so what?" filter to connect features to real outcomes.  Together, they treat storytelling as everyone's job, so marketing, sales, and CX all carry the same story.  Plus:  Measuring story-led work vs. feature blasts  Spotting what moves pipeline  Keeping language sharp so customer phrasing shows up in deals  Making storytelling a team sport across the company If you want a story your customers instantly recognize—no matter who they talk to—this episode gives you the moves to make it happen.  For full show notes and transcripts, visit https://renegademarketing.com/podcasts/ To learn more about CMO Huddles, visit https://cmohuddles.com/

In this podcast episode, Dr. Jonathan H. Westover talks with Francoise Brougher about rethinking the workforce of the future. Francoise Brougher is a pioneering technology leader with more than 25 years of experience scaling category-defining companies and driving AI-first business transformation. She currently serves as the Chief Executive Officer and Board Member at Pebl (formerly Velocity Global), where she is leading the company's reinvention as an AI-first global workforce platform. Under her leadership, Pebl is reshaping the Employer of Record industry by combining 10+ years of compliance precision with AI-driven simplicity, speed, and transparency, empowering companies to hire and manage talent across 185+ countries. Francoise has a proven track record of building and scaling global organizations responsible for multi-billion-dollar revenue growth. She took both Square (2015) and Pinterest (2019) public as the executive leader of GTM strategy. Earlier at Google, she scaled SMB Global Sales and Operations into a 15B+ business, pioneering the application of machine learning to customer engagement. She currently serves on the boards of Qonto (Chair, Compensation Committee), Too Good To Go, and as a Board Observer at Alan. She started her career in Japan, working for L'Oreal in a manufacturing plant for three years, where she installed a Computer-Assisted Manufacturing System. After her MBA, she joined Booz Allen and Hamilton in Paris and San Francisco. Check out all of the podcasts in the HCI Podcast Network!

Boris Sofman is the CEO and Co-Founder of Bedrock Robotics, a company turning existing construction equipment into fully autonomous fleets through same-day hardware upfits. With over $80 million in funding from Eclipse, 8VC, NVIDIA Ventures, and former Waymo CEO John Krafcik, Bedrock is tackling a major bottleneck in the global economy: a massive construction labor shortage just as demand for data centers, clean energy projects, housing, and manufacturing is skyrocketing. In this episode, Boris shares how his experience building autonomous vehicles at Waymo inspired him to apply similar AI and machine learning approaches to heavy equipment. He explains why full autonomy matters in construction, what it unlocks for efficiency and safety, and how Bedrock plans to accelerate infrastructure and industrial development through robotic automation.Episode recorded on Sept 30, 2025 (Published on Nov 13, 2025)In this episode, we cover: [02:45] Boris's background in robotics and autonomous vehicles[04:50] Learnings from Waymo applied to construction[10:09] Boris's predictions for autonomous vehicles in the future[18:44] Why he left Waymo to start Bedrock Robotics[22:59] Choosing construction as the first market for autonomy[25:26] How Bedrock upfits machines without permanent modifications[26:25] Why excavators are the first target use case[28:20] Training AI to navigate changing job site environments[30:54] Skipping teleoperation and going straight to autonomy[35:52] Bedrock's GTM focus on heavy industrial sectors[40:46] How to work with traditional industries effectively[43:55] How autonomy solves labor shortages and safety challenges Enjoyed this episode? Please leave us a review! Share feedback or suggest future topics and guests at info@mcj.vc.Connect with MCJ:Cody Simms on LinkedInVisit mcj.vcSubscribe to the MCJ Newsletter*Editing and post-production work for this episode was provided by The Podcast Consultant