AI becomes useful when it helps you focus, not when it adds more noise.

Zak Cherif, Head of Product Marketing at KeyShot, joins Jarod Greene to discuss how he is navigating a shift toward product-led growth while maintaining consistent messaging across a complex sales motion. He explains the challenge of supporting multiple sellers, industries, and use cases without losing clarity.

Zak explains how AI assists his team in enriching data, validating ideal customer profiles (ICPs), and generating better messaging options without increasing headcount. He also emphasizes the importance of collaborating with diverse sales teams and highlights that understanding how people work is just as critical as the messaging itself.

This episode provides a practical perspective on how product marketers can leverage AI to simplify complexity and maintain a customer-first approach as they scale.

In this episode, you’ll learn:

• How to validate ICP faster – Use AI to improve targeting with better data
• Why sellers need different support – Adapt content to how each seller works
• How to stay customer first – Keep decisions grounded in real customer needs

Things to listen for:
(00:00) Introduction

(01:35) Staying customer first in product marketing

(02:22) Shifting toward product-led growth

(03:06) A surprising AI use case in fantasy football

(04:32) When AI became mission-critical

(05:00) Using AI for data enrichment and ICP clarity

(06:00) Scaling messaging across many permutations

(07:38) Finding the right problems for AI to solve

(09:26) AI tools for working faster with limited resources

(10:38) Supporting different sales styles with content

(12:41) Balancing consistency with sales autonomy

(14:25) Practical advice for getting started with AI

(15:34) Building AI features that support creativity, not replace it

​​Most AI strategies fail because they start with the tool instead of the problem.

Martin Gomez, COO and Co-Founder of Wing, joins Jarod Greene to share how his team built a global workforce powered by both people and AI. He explains how Wing evolved from a vision of digital assistants into a system that helps companies extend their teams and get real work done.

Martin walks through how they use AI to increase productivity, improve customer experience, and anticipate needs before they surface. He also shares why many AI products fall short and how leaders can avoid building solutions that no one truly needs.

This episode offers a grounded view on where AI delivers value today and how to apply it in ways that actually move the business forward.

In this episode, you’ll learn:

• Anticipate stakeholder needs with predictive plans - use past data to identify possible future requirements of a customer
• Concentrate on niche industry solutions - identify your skills and solve deep hurdles in that field
• Implement a curated response process for complaints - automating quick solutions for minor dissatisfaction

Things to listen for:
(00:00) Introduction

(00:51) What Wing does and why it matters now

(01:51) Using AI for personal performance and nutrition

(03:24) Wing’s early vision for AI and digital assistants

(05:20) How GPT accelerated productivity and workflows

(07:21) AI as augmentation, not replacement

(09:14) Implementing AI across a global workforce

(10:48) Anticipating customer needs with AI systems

(12:43) Why customer education drives AI success

(15:58) Advice for leaders starting their AI journey

(19:13) Lightning round and final thoughts

Speed is no longer a luxury for revenue teams; it’s a survival requirement.

In this episode of The Unexpected Lever, Jarod Greene is joined by Jamie Walsh, Founder of GTM Factories, to pull back the curtain on how legacy incumbents can outmaneuver nimble startups. Jamie reveals the internal framework he used to dismantle a traditional 15-month product launch cycle and replace it with a high-velocity 90-day sprint.

Beyond the strategy, you'll hear the 'messy' side of AI implementation: the discipline required to stop tool-hopping every week and the importance of giving your team grace to experiment with agents.

Whether you’re a product marketer tired of long roadmaps or a sales leader looking for automated competitive intelligence that actually works, Jamie’s 'always-on' systems provide the blueprint for the 2026 GTM engine.

In this episode, you’ll learn:

• Ship faster with shorter cycles - learn how to condense 15-month launches into 90 days
• Build always-on intelligence systems - use automation for competitive tracking and customer insights
• Avoid the tool switching trap - stick with a core platform for two quarters to see actual results

Things to listen for:
(00:00) Introduction

(00:56) Why incumbents must move faster

(02:14) Using AI for health goals and daily motivation

(04:13) The danger of tool rabbit holes

(05:33) A 5-year vision for cognitive risk management and compliance

(09:37) Reducing long launch cycles to a 90-day sprint

(12:19) Giving your employees grace to experiment

(13:48) Simple ways to start your AI journey today

(16:43) Why discovery calls are still an art and not a science

(14:57) AI as a magic wand for frameworks

(16:29) Must-listen podcasts and books on AI

(17:48) Connecting with Jamie