Interview, Explained

In-depth breakdowns of tech interviews — section-by-section analysis with diagrams, quotes, and insights.

~34 min
TechCrunch Disrupt 2026·

Arsalan Tavakoli-Shiraji on why the best tech doesn't win enterprises

Arsalan Tavakoli-Shiraji· Co-founder & SVP of Field Engineering at Databricks

Databricks co-founder Arsalan Tavakoli-Shiraji on why enterprise AI is years behind the valley, and why the winners will own the context, distribution, and domain expertise around the model, not the model itself.

AgentsAI CompanyBusiness StrategyAI InfrastructureOpen Source
~67 min
a16z Podcast·

Ali Ghodsi on why the AI bottleneck is context, not intelligence

Ali Ghodsi· Co-founder and CEO of Databricks

Databricks CEO Ali Ghodsi argues the existential-risk panic is overblown - near-term p(doom) is close to zero - while the real work is unglamorous engineering: securing systems against fast-moving cyber threats and giving already-capable models the organizational context they lack.

AI SafetyAgentsBusiness StrategyAI Company
~75 min
Long Strange Trip·

Ali Ghodsi on running a company by its one giant bottleneck

Ali Ghodsi· Co-founder and CEO of Databricks

A CEO playbook from Databricks' Ali Ghodsi: run the company by finding its one giant bottleneck and pouring everything into it, hire for the skills you lack, attack rivals only where they are weak, and treat conflict as a discipline you learn.

Business StrategyAI CompanyOpen Source
~70 min
Latent Space·

Databricks' Zaharia and Xin on why data, not the model, is the moat

Matei Zaharia and Reynold Xin· Co-founders, Databricks

Databricks' co-founders on their one bet — that owning the data and the agent substrate, not the frontier model, is the durable moat in the AI era.

AgentsAI InfrastructureOpen SourceBusiness Strategy