Excel Data exemplifies a modern global startup structure. With three of four co-founders based in India, they built their core tech team there to leverage the big data talent pool. Meanwhile, the CEO relocated to the Bay Area to establish the go-to-market and sales functions, capitalizing on both regions' strengths.

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The production team for the SuperDataScience podcast is spread across continents, from Australia to the Americas. This global, remote-first structure highlights a modern approach to content creation, allowing access to a worldwide talent pool and reflecting the international nature of its subject matter.

Contrary to the belief that deep-tech startups should be purely technical, ElevenLabs prioritized distribution early. Their first 10 hires included 3 people focused on go-to-market and growth, enabling both self-serve and sales-led motions from the start alongside foundational research.

Instead of concentrating its sales force in one region, Deel hired individual salespeople in various countries early in its journey. This counterintuitive move, often criticized as defocusing, allowed the company to quickly test and understand multiple markets in parallel. This strategy was key to rapidly ramping up a global go-to-market motion with localized insights.

Contrary to the remote-first trend, Crisp.ai's founder advises against a fully distributed model for initial product development. He argues for gathering the core team in one physical location to harness the energy and efficiency of in-person collaboration. Distributed teams are better suited for iterating on an already established product.

Despite YC's push to stay in San Francisco, Hera's founders are returning to Berlin. They believe they can hire top AI talent more affordably and with less competition than in the Bay Area. Since their product is global and consumer-facing, an SF presence isn't critical for customer acquisition.

The company leverages its remote structure by hiring strategically. A Spanish team is located near suppliers for better sourcing and relationships, while a British team focuses on the consumer market. This intentional geographic distribution optimizes both supply chain and marketing efforts.

The CEO of Korean startup Apollon, who moved his family to Cambridge, argues that sending a representative is insufficient for US expansion. He advises that the CEO must be physically present "on the ground" to build trust, navigate the ecosystem, and demonstrate commitment—a crucial lesson for any international startup targeting the US.

The shift to remote work unlocked a global talent pool. For specialized roles, the advantage of hiring the best possible person, regardless of location, is far greater than the benefits of in-person collaboration. The leadership challenge shifts from managing location to enabling distributed top-tier talent.

Instead of choosing between tech hubs like Austin and San Francisco, founders can adopt a hybrid model. Spend a concentrated period (1-3 months) in a high-density talent hub like SF to build domain expertise and relationships, then apply that capital back in a lower-cost home base.

By building their initial engineering team in Puerto Rico, ServiceUp hired quality developers for about half the cost of mainland US talent ($75-100k vs $150-200k+). This geographic arbitrage was a massive capital efficiency advantage that stretched their seed funding much further.

Excel Data's Global Startup Model Places GTM in the US and Engineering in India | RiffOn