Venture Capital

GTM In The AI Era: 30 Years of Lessons with Mayfield's Gamiel Gran

Gamiel Gran, Partner at Mayfield, shares 30 years of GTM lessons—how AI reshapes market strategies, early vs. late-stage approaches, and the VC perspective on positioning.
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Key Takeaways

  • GTM as Customer Value Delivery System: Gamiel defines go-to-market as the complete system for delivering value to customers—not just sales and marketing tactics.
  • AI Changes the GTM Playbook: The AI era requires rethinking traditional go-to-market assumptions about sales cycles, buyer education, and competitive differentiation.
  • Early vs Late-Stage GTM Differ Fundamentally: Early-stage GTM is about finding product-market fit through experimentation; late-stage is about scaling proven motions efficiently.
  • Market Timing Trumps Perfect Execution: Even the best GTM execution fails if market timing is wrong—VCs evaluate whether the market window is opening.
  • Positioning Must Be Clear and Narrow: Startups often try to be everything to everyone; the best GTM strategies pick a narrow wedge and dominate it first.
  • Founder-Led Sales is Table Stakes: At early stages, founders must be the primary salespeople—VCs see this as a signal of customer understanding.
  • Category Creation vs. Category Entry: Startups must decide whether to create a new category or enter an existing one—each requires different GTM approaches.
  • Metrics That Matter to VCs: VCs evaluate CAC payback, net revenue retention, and sales efficiency metrics to assess GTM health and scalability.

Guest

Gamiel Gran, Partner
Mayfield

Key Topics

Venture Capital, GTM Strategy, AI Era Go-To-Market, Early-Stage vs Late-Stage GTM, Startup Positioning, Market Timing, Product-Market Fit, Founder Advice
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In this episode of the B2B Go-To-Market Leaders Podcast, Vijay Damojipurapu speaks with Gamiel Gran, Partner at Mayfield, one of Silicon Valley's most storied venture capital firms with a portfolio including SolarWinds, HashiCorp, and Snowflake.

Gamiel brings a rare combination of operator and investor perspective, having spent decades helping founders navigate go-to-market strategy across multiple technology cycles—from enterprise software through cloud and now AI.

The conversation explores how go-to-market thinking must evolve in the AI era, the differences between early-stage and late-stage GTM approaches, and what VCs actually look for when evaluating a startup's market strategy.

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