The GTMnow Podcast

GTMnow
  • 4.6 (149)
  • TECHNOLOGY
  • UPDATED WEEKLY

The GTMnow Podcast interviews well-known tech executive, VC, and founders - the expert operators in the trenches who have ‘been there, done that’ to build some of the fastest-growing software companies. Every week, a guest joins Sophie Buonassisi to dissect their stories, revealing expert insights around what worked, what didn’t, and how things actually went down.This podcast is produced by GTMnow, the media brand of GTMfund - sharing insight on go-to-market from working with hundreds of portfolio companies backed by over 350 of the best go-to-market executives. GTMfund is an early-stage VC fund focused on investing in the most exciting, up-and-coming B2B SaaS companies across the world. The LP network consists of VP and C-level Sales, Marketing, and Customer Success leaders from companies like DocuSign, Salesforce, LinkedIn, Snowflake, Okta, Zoom, and many more.Visit gtmnow.com for more details and to sign up for our newsletter and other content resources.

  1. The End of GTM Sprawl: How HockeyStack is Rebuilding Go-to-Market Around AI, with Co-Founder Emir Atli

    3D AGO

    The End of GTM Sprawl: How HockeyStack is Rebuilding Go-to-Market Around AI, with Co-Founder Emir Atli

    Emir Atli (Co-founder and CRO of HockeyStack) joins GTMnow to share how go-to-market is shifting in the AI era — from fragmented tools and GTM sprawl to unified, AI-native platforms built on a single data foundation. Originally known for attribution and market intelligence, HockeyStack is evolving into a central operating system for go-to-market, spanning marketing, sales, and post-sales through AI agents, blueprints, and an execution layer. We also explore weekly GTM sprints, founder-led content as a pipeline driver (even with 100 followers), and the long-game mindset behind building a generational company from age 20 after YC. In this episode, we cover:- Why you can’t layer AI onto legacy GTM — you must rebuild GTM around AI - The “sprawl crisis” and why siloed tools break without a single data foundation - HockeyStack’s evolution from attribution to a unified GTM operating system - AI agents, blueprints, and the shift from reporting to execution - Why consolidation is moving from tools to full buyer journey control - The case for a winner-takes-all GTM platform - How AI increases leverage across reps, managers, and pipeline reviews - Weekly GTM sprints and faster iteration cycles in the AI era - Founder-led content as a core growth engine and pipeline driver - LinkedIn as a top channel for MQL-to-opportunity and deal acceleration - The 10-year mindset, YC lessons, and building a generational company Guest links: Emir Atli - LinkedIn: https://www.linkedin.com/in/emiratli/ - HockeyStack - Website: https://www.hockeystack.com/ - HockeyStack - LinkedIn: https://www.linkedin.com/company/hockeystack/ Host links: - Sophie Buonassisi - LinkedIn: https://www.linkedin.com/in/sophiebuonassisi/ - Sophie Buonassisi - X (Twitter): https://x.com/sophiebuona - Newsletter: https://thegtmnewsletter.substack.com Sponsors:Granola - the AI notepad that turns meetings into action by capturing context, decisions, and next steps automatically. Head to https://www.granola.ai/?via=gtmfund&dub_id=ytmcNnCjtlqCbgH5 and get three months free with the code GTMFUND. Transcript available under the episode here: https://gtmnow.com/tag/podcast/ Subscribe to GTMnow for the latest episodes! https://gtmnow.com/ Highlights: 00:00 – The GTM sprawl crisis and why AI breaks in siloed systems 01:50 – From attribution to a GTM operating system 02:41 – Launching AI agents, blueprints, and the execution layer in 2026 03:57 – Building a single data foundation across the buyer journey 05:09 – Why GTM must be rebuilt around AI (not layered with tools) 06:23 – Doing "more with more" and increasing management leverage 07:30 – Tool consolidation vs controlling the buyer journey 08:48 – 2026–2028: the great GTM consolidation wave 09:01 – The case for a winner-takes-all GTM platform 10:10 – Moat: data foundation + application layer 11:35 – Expanding horizontally across marketing, sales, and post-sales 14:28 – Running GTM in weekly sprints like an engineering org 14:46 – Content as a core investment and distribution strategy 15:26 – Why connected TV works for B2B brand trust 16:43 – Faster GTM iteration cycles in the AI era 17:47 – LinkedIn as the top pipeline and opportunity channel 18:12 – Product stories, personal stories, and data stories in content 21:02 – How founders carve out time to create content 22:43 – Generating first customers from LinkedIn with 100 followers 23:45 – Founding journey: pivoting into market intelligence 25:37 – YC lesson: make something people love before scaling 27:18 – The 10-year commitment mindset from YC advice 30:13 – Executive coaching and founder bottlenecks 31:53 – In-person culture and competing in the AI era 33:26 – Whiteboarding interviews vs AI-generated case studies 34:35 – Final advice: build a good business and enjoy the process For inquiries about sponsoring the podcast, email gtmnow@gtmfund.com GTMnow is a media brand brought to you by VC firm, GTMfund: https://gtmfund.com/

    35 min
  2. How VCs Evaluate Technical Founders (TAM, Moats & Diligence), with Amanda Robson, Founder and GP of Modern Technical Fund

    4D AGO

    How VCs Evaluate Technical Founders (TAM, Moats & Diligence), with Amanda Robson, Founder and GP of Modern Technical Fund

    Amanda “Robby” Robson (Founder of Modern Technical Fund) joins GTMnow to break down how she evaluates companies at the very earliest stages and why discipline matters more than ever in today’s market. Amanda has spent over a decade in venture before launching Modern Technical Fund, investing across verticals ranging from security and compliance to developer tools at firms like Norwest and Cowboy Ventures. Her investment thesis is centered on backing elite technical founders early and helping them translate deep engineering talent into real products, real customers, and real momentum. In this conversation, we unpack how Amanda thinks about founder quality, market timing, and risk when there’s limited data and plenty of noise, which is more critical than ever in an AI-heavy investing environment. Guest Links Amanda’s LinkedIn: https://www.linkedin.com/in/amanda-robson-7227685b/ Amanda’s Twitter: https://x.com/robby_mtf Modern Technical Fund’s LinkedIn: https://www.linkedin.com/company/modern-technical-fund/ Modern Technical Fund website: https://moderntechnicalfund.com/ Host links: Max - LinkedIn: https://www.linkedin.com/in/maxaltschuler/ Max - X: https://x.com/HackItMax Paul - LinkedIn: https://www.linkedin.com/in/paulsirving/ Paul - X: https://x.com/PaulGTM Newsletter: https://thegtmnewsletter.substack.com Brought to you by: AngelList From starting as a small, operator-led rolling fund, to evolving to an institutional platform, AngelList has been a core partner in every phase of GTMfund’s growth. Their software-first fund admin infrastructure allowed us to scale without sacrificing agility — from onboarding hundreds of LPs seamlessly to handling compliance, capital calls, and reporting as our fund size evolved. As we expanded from Fund I to Fund II, AngelList took care of the back-office operations, allowing us to stay focused on what matters most: investing in world-class founders and building the strongest go-to-market network in venture. They’ve scaled with us across funds and into the future. If your fund is growing in size or complexity, check them out at www.angellist.com/gtmfund. Transcript available under the episode here: https://gtmnow.com/tag/podcast/ Subscribe to GTMnow for the latest episodes! https://gtmnow.com/ Highlights: 00:00 – Why Modern Technical Fund exclusively backs technical founders 02:15 – What actually defines a “technical founder” beyond coding ability 03:45 – Why product judgment and customer instinct matter early 05:05 – How early teams split engineering and go-to-market roles 07:10 – When investor advice helps and when it gets in the way 09:05 – Why calibrating the hiring bar matters more than providing playbooks 12:40 – How network-driven support helps founders see what “great” looks like 15:45 – Why valuation discipline sets the bar in today’s market 17:10 – When first-time founders become too risky at certain prices 19:40 – How early-stage defensibility often comes down to the team 27:20 – Why TAM momentum matters more than static market size 30:30 – How small markets quietly turn into billion-dollar categories 39:55 – What separates real AI companies from AI theater 41:40 – Why infrastructure and data tools benefit most from AI tailwinds For inquiries about sponsoring the podcast, email gtmnow@gtmfund.com GTMnow is a media brand brought to you by VC firm, GTMfund: https://gtmfund.com/ Follow us on LinkedIn: https://www.linkedin.com/company/gtmnow/ Follow us on X (Twitter): https://x.com/GTMnow_ Follow us on YouTube: https://www.youtube.com/channel/UCGQM23b5lZbcfLtHAe87J_A Follow us on TikTok: https://www.tiktok.com/@gtmnow_ Follow us on Instagram: https://www.instagram.com/gtmnow_/

    56 min
  3. How Intercom Built the Highest-Performing AI Agent on the Market Using Outcome-Based Pricing with Archana Agrawal, President at Intercom

    FEB 10

    How Intercom Built the Highest-Performing AI Agent on the Market Using Outcome-Based Pricing with Archana Agrawal, President at Intercom

    Archana Agrawal (President of Intercom) joins GTMnow to share how Intercom (founded in 2011) successfully restructured its product, pricing, and go-to-market to become AI-native at a speed and scale most legacy SaaS companies haven’t achieved. Their agent, Fin, now handles 80%+ of support volume, resolves 1M customer issues per week, and has grown from $1M to $100M+ ARR with a $0.99 outcome-based pricing model backed by up to a $1M performance guarantee if resolution targets aren’t met. In this episode, we cover:- Why customer support is fundamentally a 24/7 business - How Fin now handles 80%+ of customer queries through automation - Why human empathy often breaks down in real-world support workflows - How AI makes instant, individualized service possible for the first time - Why Intercom put a million-dollar guarantee behind its resolution rate - What it takes to confidently price software on outcomes - Why the future of support is humans + AI Guest links: - Archana Agrawal - LinkedIn: https://www.linkedin.com/in/archana-agrawal/ - Intercom - LinkedIn: https://www.linkedin.com/company/intercom/ - Intercom’s Fin Agent: https://fin.ai/ Host links: - Sophie Buonassisi - LinkedIn: https://www.linkedin.com/in/sophiebuonassisi/ - Sophie Buonassisi - X (Twitter): https://x.com/sophiebuona - Newsletter: https://thegtmnewsletter.substack.com Sponsors: HockeyStack - the AI platform that unifies GTM data to help teams convert, expand, and scale. Learn more at https://www.hockeystack.com/ Granola - the AI notepad that turns meetings into action by capturing context, decisions, and next steps automatically. Head to https://www.granola.ai/?utm_medium=podcast&utm_source=gtmfund&utm_campaign=intercom-episode  and get three months free with the code GTMFUND. Transcript available under the episode here: https://gtmnow.com/tag/podcast/ Subscribe to GTMnow for the latest episodes! https://gtmnow.com/ Highlights: 00:00 – Why Intercom went all-in on AI 03:23 – What Fin is and how it changes customer support 05:27 – How Fin scaled to a 67% resolution-rate 06:38 – The thinking behind 99¢ outcome-based pricing 08:54 – Why customers don’t want to pay for activity 09:10 – How outcome-based pricing aligns incentives 09:57 – What changed for sales, success, and revenue operations 15:10 – How Intercom thinks about forward-deployed engineers 16:22 – Why the future is humans + AI 18:56 – The real moat: product feedback loops at scale 19:32 – Why Intercom put a million-dollar guarantee behind results 23:29 – Why enablement is now the GTM bottleneck 32:24 – From $1M to nearly $100M: what Fin’s growth reveals 38:26 – Hiring in a world with no playbooks 42:20 – How Archana learns from podcasts, books, and customers For inquiries about sponsoring the podcast, email gtmnow@gtmfund.com GTMnow is a media brand brought to you by VC firm, GTMfund: https://gtmfund.com/

    46 min
  4. Why Most Founders Build the Wrong Company (And Realize It Too Late), with Lou Shipley, Former CEO and Co-Author of Unlikely Entrepreneurs

    FEB 3

    Why Most Founders Build the Wrong Company (And Realize It Too Late), with Lou Shipley, Former CEO and Co-Author of Unlikely Entrepreneurs

    Lou Shipley (three-time CEO, Harvard Business School professor, and author of Unlikely Entrepreneurs) joins GTMnow to break down why most founders struggle to turn good ideas into great companies. Lou has led companies through acquisitions, teaches sales and go-to-market at Harvard, and has spent decades studying what actually separates companies that scale from those that stall. In this conversation, we unpack why understanding customer pain and learning how to sell are still the two most important founder skills, especially as product moats decline and go-to-market becomes the real differentiator. In this episode, we discuss: - Why understanding customer pain matters more than having a great idea - Why early selling should optimize for learning, not revenue - Why founders can’t outsource sales too early - How distribution becomes a competitive advantage at scale - What makes “unlikely entrepreneurs” outperform expectations - Why small, high-quality teams beat large organizations - Why churn is a symptom, not the root problem - How product-market fit quietly changes as companies grow - Why founders must evolve from heroic sellers to system builders - How culture becomes a real go-to-market asset Lou also shares lessons from teaching sales at Harvard, profiling 13 unlikely entrepreneurs, and working with founders who realized too late that they were building the wrong company for the wrong customer. If you’re a founder, operator, or investor trying to avoid costly early mistakes and build a company that actually scales, this episode will give you a clearer mental model for what matters most. Timestamps: 00:00 – What actually makes a company great 00:26 – Why early selling is about learning, not revenue 01:47 – Why founders misunderstand customer pain 02:06 – “If you build it, they will come” is a lie 02:33 – Distribution as the real moat 02:58 – What makes an “unlikely entrepreneur” succeed 06:15 – Why age and experience increase founder success 07:01 – Curiosity, coachability, and risk elimination 09:29 – Why founders can’t outsource sales too early 15:26 – Pattern recognition vs short-term ARR 21:10 – Founder-led sales vs scalable systems 29:12 – Leadership, culture, and delegation 33:18 – Founder evolution from $1M to $100M 38:24 – When product-market fit starts to break 39:15 – Why churn is a lagging indicator 39:54 – Why small teams outperform large ones 44:22 – Lessons from Unlikely Entrepreneurs 45:23 – Final advice for founders Sponsors: HockeyStack - the AI platform that unifies GTM data to help teams convert, expand, and scale. Learn more at hockeystack.com Guest links:LinkedIn: https://www.linkedin.com/in/loushipley/X: https://twitter.com/loushipleyHost (Sophie Buonassisi) links:LinkedIn:  https://www.linkedin.com/in/sophiebuonassisi/X (Twitter): https://x.com/sophiebuonaNewsletter: https://thegtmnewsletter.substack.comHost (GTMnow) links: https://gtmnow.com Follow us on LinkedIn: https://www.linkedin.com/company/gtmnow/ Follow us on X (Twitter): https://x.com/GTMnow_ Follow us on YouTube: https://www.youtube.com/channel/UCGQM23b5lZbcfLtHAe87J_A Follow us on TikTok: https://www.tiktok.com/@gtmnow_ Follow us on Instagram: https://www.instagram.com/gtmnow_/

    46 min
  5. Why AI Is Killing Your Outbound and Making In-Person GTM Inevitable, with Healey Cypher, CEO at BoomPop

    JAN 28

    Why AI Is Killing Your Outbound and Making In-Person GTM Inevitable, with Healey Cypher, CEO at BoomPop

    Healey Cypher (multi-time founder and CEO of BoomPop) joins GTMnow to unpack one of the fastest growing channels for company growth: in-person events. As AI floods digital channels with perfectly personalized messages, trust is becoming harder to earn online. Healey explains why events, dinners, and in-person experiences are becoming a premium GTM channel, not a nice-to-have, and how founders can use them intentionally for distribution, alignment, and acquisition. In this episode, we discuss: - Why in-person events are becoming a premium GTM channel in an AI-first world - How founders can de-risk distribution before building the product - The most common internal missteps that derail startups early - Why offsites are the new HQ for remote and hybrid teams - How to design offsites that drive alignment, not just fun - What makes a dinner actually work — including overlooked details like acoustics - How teams use events for customer acquisition and partnerships - Why kindness and positivity can be a real leadership advantage Healey also shares a powerful insight from Sam Altman that reframes how we should think about AI’s impact on trust and human connection. If you’re interested in scaling events as a growth channel, this episode will give you all the details you need and an understanding of what is working in today’s world. Timestamps: 00:00 – Why founders underestimate distribution 03:30 – Product vs distribution: what actually matters early 06:45 – Why most startups fail from internal misalignment 10:30 – Culture, communication, and focus as scaling constraints 14:40 – Hybrid work broke alignment 17:45 – Why offsites are becoming the new HQ 21:30 – Events as a go-to-market strategy 25:00 – AI, outbound fatigue, and inbox trust collapse 28:40 – “In-person experiences are becoming a premium” 32:30 – How to use events for customer and partner acquisition 36:15 – What makes a high-impact event vs a wasted one 39:50 – Dinners, summits, and unforgettable experiences 43:30 – Leadership, kindness, and “don’t be a jerk” 47:40 – Mental state as a competitive advantage 52:30 – Final reflections and advice for founders Sponsors: HockeyStack - the AI platform that unifies GTM data to help teams convert, expand, and scale. Learn more at hockeystack.com Guest links:Instagram: https://www.instagram.com/healeycypher/?hl=enHealey’s podcast: https://www.dontbeajerkpodcast.com/ Mentioned Resources: Host (Sophie Buonassisi) links: X (Twitter): https://x.com/sophiebuonaNewsletter: https://thegtmnewsletter.substack.comHost (GTMnow) links: https://gtmnow.com Follow us on LinkedIn: https://www.linkedin.com/company/gtmnow/ Follow us on X (Twitter): https://x.com/GTMnow_ Follow us on YouTube: https://www.youtube.com/channel/UCGQM23b5lZbcfLtHAe87J_A Follow us on TikTok: https://www.tiktok.com/@gtmnow_ Follow us on Instagram: https://www.instagram.com/gtmnow_/

    47 min
  6. Why Most Go-To-Market Motions Collapse at Scale, with Jeanne DeWitt Grosser, COO at Vercel

    JAN 22

    Why Most Go-To-Market Motions Collapse at Scale, with Jeanne DeWitt Grosser, COO at Vercel

    Why do so many go-to-market motions fall apart right when a company starts to scale? In this episode of GTMnow, Sophie Buonassisi sits down with Jeanne DeWitt Grosser, former GTM leader at Google and Stripe and now COO at Vercel, to unpack why GTM fragility is one of the most underdiagnosed risks in startups and scaling companies. This is a deep, operator-level conversation about what actually breaks in sales, why AI won’t magically fix it, and how the best teams treat go-to-market like a product that must be designed, tested, and iterated. If you are a founder, operator, or investor navigating growth, this episode will give you clearer mental models for building GTM that actually holds up under pressure. In this episode, we cover: Why most GTM motions fail at scale, even with strong productsWhat it really means to treat go-to-market like a productHow AI changes execution without changing fundamentalsThe rise of the forward deployed engineerWhy “lost on price” is usually a lieWhat great sales reps still do better than anyone in the AI eraHow to think about joining companies “early” without getting timing wrongListen if GTM feels fragile, unpredictable, or overly dependent on heroes. Timestamps 00:00 – Introduction 01:00 – “Yes is great. No is great. Maybe will kill you.” 02:00 – Why go-to-market should be treated like a product 04:45 – Designing the experience of being sold to 06:30 – Using AI to debug GTM process failures 09:00 – Why “lost on price” usually isn’t about price 12:00 – What go-to-market engineering actually is 16:00 – The rise of the forward deployed engineer 20:45 – AI, agents, and what still needs human judgment 25:45 – What great sales reps do differently in the AI era 29:30 – Why GTM roles are becoming more consultative 33:30 – Will there be an AI reckoning? 38:00 – What “joining early” really means 42:00 – Career lessons from Google, Stripe, and Vercel 44:00 – Closing thoughts

    45 min
  7. VC 3: Investing Philosophy for 2026: What Founders Should Know

    JAN 20

    VC 3: Investing Philosophy for 2026: What Founders Should Know

    Mark Goldberg is a Managing Partner and Co-Founder at Chemistry, a new early-stage venture firm with a $350M debut fund backing standout software companies from Seed to Series A. Prior to Chemistry, Mark was a Partner at Index Ventures, where he led early-stage investments across software and fintech for nearly a decade. Before Index, Mark was one of the first business hires at Dropbox, helping the company navigate hypergrowth.  Discussed in this episode Why Mark studied international relations, and why venture feels like “the liberal arts of jobs”Index’s US “invisibility” era and what that taught him about building a new firmThe Chemistry spinout thesis: “take great multi-stage DNA, reconstitute it with focus”Fund design: pre-seed → seed → A, light reserves, and concentrated doubling-downHiring strategy: network access > spreadsheet diligenceCulture principles: excellence, performance, “no one takes themselves too seriously”Conviction-based investing vs consensus IC, and why omissions are the real killerThe hardest lesson in venture: managing co-founder dynamics (and when to just listen)Episode highlights 00:00 — “A+ people want to work with A+ people.” 01:46 — GTMfund’s 2026 prediction: big players come roaring back (Google, Meta, Microsoft, Uber/Waymo). 14:51 — GTMfund platform metrics: thousands of support items, intros, hires, and fundraising connects. 26:29 — Why Mark left Index to build Chemistry: big-fund lessons, rebuilt with focus. 33:39 — Chemistry’s strategy: early-stage focus, light reserves, and building for “product-market discovery.” 44:05 — “Venture doesn’t scale well.” Why Chemistry stays small to avoid bureaucracy. 49:59 — Events that actually work: chess tournaments, surfing, and hobby-driven gathering > happy hours. 54:56 — Investment process: conviction, not consensus—optimize for outliers, not averages. 1:10:32 — Hardest lesson in venture: co-founder dynamics, and learning when to listen (not “advise”). Brought to you by: AngelList From starting as a small, operator-led rolling fund, to evolving to an institutional platform, AngelList has been a core partner in every phase of GTMfund’s growth. Their software-first fund admin infrastructure allowed us to scale without sacrificing agility — from onboarding hundreds of LPs seamlessly to handling compliance, capital calls, and reporting as our fund size evolved. As we expanded from Fund I to Fund II, AngelList took care of the back-office operations, allowing us to stay focused on what matters most: investing in world-class founders and building the strongest go-to-market network in venture.  They’ve scaled with us across funds and into the future. If your fund is growing in size or complexity, check them out at www.angellist.com/gtmfund. Follow Mark Goldberg LinkedIn: https://www.linkedin.com/in/mark-goldberg-25458110X (Twitter): https://x.com/Mark_Goldberg_X (formerly Twitter)Chemistry (website): https://www.chemistry.vc/ChemistryThe GTMnow Podcast The GTMnow Podcast is a weekly podcast featuring interviews with the top 1% GTM executives, VCs, and founders. Conversations reveal the unshared details behind how they have grown companies, and the go-to-market strategies responsible for shaping that growth. Visit gtmnow.com for more episodes and other interesting content.

    1h 12m
  8. GTM 174: The 7% Rule: How AI Is Rewriting Customer Success Budgets (From 10% to 7%) with Abbas Haider Ali

    JAN 14

    GTM 174: The 7% Rule: How AI Is Rewriting Customer Success Budgets (From 10% to 7%) with Abbas Haider Ali

    Abbas Haider Ali is SVP of Customer Success at GitHub, where he leads a 550+ person post-sales organization supporting a $2B+ ARR business serving over 150 million developers, including more than 90% of the Fortune 100. Previously, Abbas was VP of Customer & Partner Success at Twilio following its acquisition of Segment, and has held executive roles at xMatters, Opnet Technologies, Managed Objects, and IBM. He is also a General Partner at GTM Operators Network, investing from seed through growth, and is deeply committed to mentorship and advancing underrepresented leaders in tech. Discussed in this episode: Why “AI-led growth” can hide churn and value erosionLagging vs leading indicators for retention enduranceWhy the CS investment benchmark is shifting from 10% → ~7%A simple “waterfall” for allocating post-sales budget: support → onboarding → outcomesHow to “lever up” the envelope with premium support + professional servicesWhy expansion (not renewals) is the early signal of product-market fitThe rise of AI-powered specialized generalists in post-salesWhen forward deployed engineers make sense (and when they’re just a fad)Episode highlights 00:00 — Why customer expansion is the real signal of product-market fit 00:50 — Lagging revenue vs. leading indicators of endurance 04:11 — Why the CS benchmark dropped from 10% to 7% 08:41 — How AI moved from internal efficiency to customer-facing leverage 11:41 — Why retention cost matters more than CAC in the AI era 14:17 — The simplest framework for allocating the 7% CS budget 18:53 — Founder-led CS, design partners, and early-stage PMF myths 23:16 — The rise of AI-powered specialized generalists 30:00 — When forward-deployed engineers actually make sense 49:31 — The one rule for building a durable SaaS company This episode is brought to you by our sponsor: HockeyStack If you run go-to-market, you already know the problem: your data lives everywhere. Spreadsheets, CRMs, sales calls, ad platforms… yet you’re still guessing what to do next. HockeyStack is the AI platform for modern GTM teams. It unifies all your sales and marketing data into a single system of action. Built-in AI agents help teams prospect the right accounts, improve conversions, close and expand deals, and scale what works. That’s why teams like RingCentral, Outreach, ActiveCampaign, and Fortune 100 companies rely on HockeyStack to eliminate wasted spend, take better decisions, and make space to think. Learn more at hockeystack.com Follow Abbas Haider Ali LinkedIn: https://www.linkedin.com/in/abbashaideraliX (Twitter): https://x.com/abbashaideraliGitHub: https://github.com/AbbasHaiderAliFollow Sophie Buonassisi (Host) LinkedIn: https://www.linkedin.com/in/sophiebuonassisiX (Twitter): https://x.com/sophiebuonaNewsletter: https://thegtmnewsletter.substack.com  The GTMnow Podcast The GTMnow Podcast is a weekly podcast featuring interviews with the top 1% GTM executives, VCs, and founders. Conversations reveal the unshared details behind how they have grown companies, and the go-to-market strategies responsible for shaping that growth. Visit gtmnow.com for more episodes and other interesting content.

    53 min
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4.6
out of 5
149 Ratings

About

The GTMnow Podcast interviews well-known tech executive, VC, and founders - the expert operators in the trenches who have ‘been there, done that’ to build some of the fastest-growing software companies. Every week, a guest joins Sophie Buonassisi to dissect their stories, revealing expert insights around what worked, what didn’t, and how things actually went down.This podcast is produced by GTMnow, the media brand of GTMfund - sharing insight on go-to-market from working with hundreds of portfolio companies backed by over 350 of the best go-to-market executives. GTMfund is an early-stage VC fund focused on investing in the most exciting, up-and-coming B2B SaaS companies across the world. The LP network consists of VP and C-level Sales, Marketing, and Customer Success leaders from companies like DocuSign, Salesforce, LinkedIn, Snowflake, Okta, Zoom, and many more.Visit gtmnow.com for more details and to sign up for our newsletter and other content resources.

Information

  • Creator
    GTMnow
  • Years Active
    2018 - 2026
  • Episodes
    613
  • Rating
    Explicit
  • Copyright
    © GTMnow
  • Show Website
    The GTMnow Podcast

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