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Julia Schottenstein

Product Leader at dbt Labs

Julia Schottenstein leads the dbt Cloud product at dbt Labs. She came from venture capital at NEA, where she invested in early-stage developer tools and infrastructure startups. She was so convinced dbt would be special that she tried to invest 20% of her net worth, lost the deal to Sequoia, and then joined the company to build the product herself.

Dimension Profile

Strategic Vision 85%
Execution & Craft 65%
Data & Experimentation 50%
Growth & Distribution 70%
Team & Leadership 45%
User Empathy & Research 60%

Key Themes

VC to product leader transition evaluating early-stage companies M&A strategy and execution developer tool product-market fit inflicting pain on potential acquirers people market product distribution framework

Episode Summary

Julia Schottenstein shares her unusual path from VC at NEA to product leader at dbt Labs, driven by recognizing that dbt had product-market fit so strong that users made it part of their identity. She provides a framework for evaluating early-stage companies across people, market, product, and distribution, and reveals her M&A playbook: inflict competitive pain on potential acquirers while keeping the relationship warm to maintain optionality.

Leadership Principles

  • Evaluate early-stage companies on four dimensions: people, market, product, and distribution — you won't get 10/10 on all four
  • M&A is always about creating plan Bs — don't prematurely shut down conversations with potential buyers
  • To get noticed for acquisition, inflict pain on the potential buyer in your area of competitive advantage while staying friendly

Notable Quotes

"M&A is always about creating plan Bs. Figure out the area that you bring a competitive advantage and inflict pain on that potential buyer. Make it impossible for them to not notice you."

— On the strategy for getting acquired — be competitively painful but relationally open

"When I talked to people using dbt, the way they described their experience was unlike anything I had heard before. It was much more of an identity for them than just a tool they were using to get their job done."

— On recognizing extraordinary product-market fit through user identity signals

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