Sunny Ray talks with Israel Suero, partner at Dash VC, about his path from Wall Street financial analyst to early growth roles at Uber Eats and DoorDash, and now to venture investing in AI, data infrastructure, and energy. Suero recounts pitching restaurants on Uber Eats delivery fees in Manhattan, DoorDash's suburban expansion strategy that helped it overtake Grubhub, and the moment ChatGPT convinced him AI was a durable platform shift rather than a passing trend. He explains how Dash VC evolved its thesis from software to hardware operating systems and nuclear energy companies like TerraPower, given rising data center power demand. Suero also shares a notable miss, passing on Perplexity, and argues that in 2026 the first go-to-market hire matters more than the first engineering hire because software is increasingly commoditized. The conversation closes with predictions on enterprise software consolidation, naming Glean and Hex as category leaders, and reflections on what surprised him most moving from operator to investor.
A former Uber Eats and DoorDash operator turned VC explains why GTM, not engineering, wins AI startups today.
What was the kid version of you like, before Wall Street and tech?
I was very curious, good in math but also leaned toward European and US history. That gave me an appreciation for literature and understanding timelines alongside a solid math foundation. I was multifaceted, passing finance exams and getting As on English papers, which helps now when conveying value propositions to founders or writing due diligence reports.
What made you jump from finance into a startup like Uber Eats?
I felt finance had become monotonous and I got stuck. I read a Wall Street Journal article about Saudi Arabia investing five billion dollars into Uber around May 2016, and it was a lightbulb moment. I applied to Uber, interviewed, and six weeks later got an offer to join the brand new Uber Eats project competing with Grubhub.
What did you see in DoorDash that the public markets took years to catch up on?
DoorDash went aggressive into the suburbs, Long Island, Westchester, New Jersey, while Uber Eats focused on urban cities against Grubhub head on. I was skeptical in conference rooms, but Tony Xu had the vision and his team followed. By 2018 the company grew tenfold, and by that fall DoorDash became the number one food delivery platform in North America.
What's the hardest go-to-market problem you've solved, and what did it teach you?
At Uber Eats we had to sign over 600 restaurants in Manhattan, then Queens and Brooklyn, against Grubhub and Seamless who already dominated. Many restaurants literally told us to leave because our fees were so much higher. The lesson was listening, letting the client talk eighty percent of the time so you become a problem solver, not just a sales rep pushing a pitch.
When did you realize AI was more than another tech cycle?
It was the stickiness of ChatGPT after it launched in November 2022. I had never seen a land and expand like that, everyone was suddenly using it. Within six months you saw hyperscalers like Microsoft investing in OpenAI, Meta pivoting from the metaverse to AI, and Nvidia becoming the kingmaker, and it became clear this was a real platform shift.
What's a deal you passed on or a thesis you got wrong?
We passed on Perplexity. My general partner made that call, and we chose a different investment instead that has done very well. Still, Perplexity is number one in our anti fund. The fact we had access to that deal says a lot, and it's part of the VC game to have wins and misses like that.
What's the single biggest mistake you see AI founders making when they pitch you now?
They don't have a sound differentiator, essentially a real go-to-market strategy. I recently saw a deck for an enterprise search company that never addressed how they'd compete with a multibillion dollar incumbent like Glean, which already has a head start. Without a clear answer to that, the pitch falls apart.
What's the one piece of GTM advice you give every founder in their first 90 to 120 days?
Right now your first go-to-market hire is more important than your first engineering hire, so choose wisely. You still need an A-plus engineer, but with software becoming commoditized, what differentiates your company is the go-to-market engineer or first enterprise account executive. Early on, sales and engineering are founder led, but the GTM hire becomes vital sooner.
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