Stacked GTM

Deep-dive into how AI is impacting GTM - Each series of 5-7 episodes explores one area from the perspective of top practitioners and vendors. Presented by the GTM Council - the exclusive community for operational GTM leaders.

Stacked GTM is a business podcast hosted by GTM Council and Frontlines.io, with 15 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

GTM Council and Frontlines.io hosts Stacked GTM, a business show with 15 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

• 

  Stacked GTM

  Agentic Sales: Amanda @ 1Mind

  Aug 11, 202649 min

  Amanda Kahlow founded 6sense. Her new company, 1mind , deploys AI "Superhumans" that orchestrate roughly 15 agents to solution, demo, and close across the full buyer lifecycle, replacing the traditional SDR-to-AE-to-SE handoff chain. Amanda shares how her Superhuman "Nigel" joined a live meeting, held 31% of the talk time, and helped close a $262,000 deal in 11 days. She breaks down why solving for growth over efficiency changes how you build and staff your entire GTM org. Topics discussed: Orchestrating 15 agents per Superhuman across buyer lifecycle Closing a $262,000 deal in 11 days with AI Shifting GTM from seller control to buyer control Using Superhumans for post-call sales coaching Building outbound without creating a bad buying experience Pricing Superhumans at the cost of a human Measuring deal cycle compression and ACV growth Deploying personalized Superhumans across ABM campaigns

  ListenShow Notes
• 

  Stacked GTM

  Agentic Sales: Philip @ Salesforce

  Aug 4, 202646 min

  Philip Cooper , Chief Customer Officer, Agentforce Sales at Salesforce , explains how the CRM is being rebuilt around agents, ambient data capture, and headless architecture. With the Momentum acquisition powering a self-driving CRM and MCP exposure decoupling sellers from the UI, Philip lays out what happens when the system of record starts updating itself. Philip walks Noah and Andy through why the semantic layer still matters for consistent definitions, how Slack is becoming the bidirectional system of work where sellers forecast and invoke agents, and how revenue leaders can delegate business outcomes to orchestrated agent workflows. Topics discussed: Positioning Agentforce as a horizontal capability layer across clouds Auto-updating CRM through Momentum's conversation capture Exposing Salesforce headlessly through MCP for agent integration Using memory fragments to surface undiscovered deal insights Layering a semantic layer on unstructured data for consistent KPIs Turning Slack into a bidirectional system of work with CRM Orchestrating revenue outcomes by delegating to multi-agent workflows Shifting the build vs. buy calculus with opinionated agent deployment

  ListenShow Notes
• 

  Stacked GTM

  GTM Engineer: Jai @ Deepline

  Jul 29, 202647 min

  A mining safety company needed to find prospects, and no pre-built tool existed for that niche. Jai Toor at Deepline pointed a coding agent at the problem. It found a Reddit ML model, combined it with hiring signals, and delivered qualified contacts in under 30 minutes. Jai walks through Deepline's developer-first approach to GTM data infrastructure, from waterfall enrichment to deploying deterministic code-based workflows. He shares how close-lost analysis surfaces niche buying signals specific to each company. Topics discussed: Building code-native GTM infrastructure designed for coding agents Using waterfall enrichment across multiple data providers programmatically Discovering niche buying signals through close-lost regression analysis Deploying deterministic plays from iterative agent testing Adopting pay-as-you-go pricing inspired by OpenRouter's model Centralizing data while decentralizing agent-based rep interfaces Generating org charts from multiple data sources at $7 each Predicting cold call answer rates with ML-driven scoring models

  ListenShow Notes
• 

  Stacked GTM

  Agentic Sales: Austin @ Unify

  Jul 21, 202651 min

  Austin Hughes , Co-Founder and CEO of Unify , joined Noah and Andy to make the case that offer based outbound is quietly beating the classic ask for a meeting. Austin walks through why Unify skipped Inbound entirely, how offer based outbound is beating classic meeting asks, and why he still believes reps need to own their own prospecting decisions even as agents take over the grunt work. Topics discussed: - Building offer based outbound instead of meeting asks - Why Unify skipped Inbound as a use case entirely - Letting reps buy in individually before Rev Ops gets involved - Owning a company wide context graph in the data warehouse - Why AE demand surprised Unify more than SDR demand - Why teams now want predictability and cost over frontier models - Advice for hiring the first two outbound reps - Why rep agency still matters as automation increases

  ListenShow Notes
• 

  Stacked GTM

  GTM Engineer: Gina @ Dust

  Jul 14, 202651 min

  Dust keeps coming up across the GTM engineering community, and this episode explains why. Gina Kabasakalis , Founding US GTM at Dust , has a clear-eyed view of where AI adoption actually breaks down: not in the build, but in the handoff from one technical person to an entire team. She gets into the governance and permission infrastructure that makes multiplayer AI viable, with a concrete example of how RevOps encoding the right Salesforce schema field into a shared agent saves every sales manager from carrying that knowledge individually. She also covers what companies consistently get wrong about ROI measurement, and a new Dust feature called Pods that puts humans and agents in a shared workspace. If you're past the single-agent stage and trying to figure out how to scale this across an org, this one is worth your time. Topics discussed: Why RevOps and IT/CISOs are the two buyer profiles gravitating toward Dust Multi-model routing: matching model complexity and cost to the task rather than defaulting to the highest-reasoning model for everything Encoding institutional knowledge at the system level so ICs stop carrying it individually Piloting vs. rolling out: validating long-term fit vs. the executive air cover and embedded AI ops function a real rollout requires Why time savings is the wrong AI ROI frame and what the CRM hygiene argument actually proves Pods: a shared workspace for humans and agents, with use cases from new hire onboarding to funding round comms Four-component agent framework: trigger event, data sources, recipient and destination, output transformation Agent sprawl: when to consolidate duplicate skills and when distributed creativity is the point

  ListenShow Notes

Recent guests on Stacked GTM. Study who booked and why before you pitch.

Based on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:

Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.