Viviana
Faga

Before any talk of product-market fit, before the deck gets past slide three, Viviana Faga asks a single question: "What's going to happen in five years that will determine your success?" The answer - or the inability to answer it - tells her almost everything she needs to know.

That one question distills 20-plus years of building things that had to matter in the market. Viviana spent two decades inside companies where the product was only as good as the story surrounding it. At Yammer, she helped define what "enterprise social networking" even meant - a category that Microsoft valued at $1.2 billion in 2012. At Salesforce, she worked on a CRM platform that became so dominant that competitors measured themselves against it for the next two decades. At Zenefits and Platfora, she kept refining the craft: how do you make complicated software feel inevitable to the people who need to buy it?

The answer was always category creation. Build the frame before you ask anyone to look at the picture. And now, as General Partner at Felicis, that's the lens she brings to every investment: not "is this a good product?" but "is this a company that will make its competitors play on its terms?"

Felicis has been one of the most consistent early-stage firms in venture - the fund that wrote early checks into Shopify, Fitbit, Canva, and Credit Karma before any of them were obvious. Viviana joined as General Partner and has since led or co-led investments in some of the more interesting AI companies in the current wave, including Runway (the video generation platform that raised $410 million), Supabase (the open-source Firebase alternative with $540 million raised), and Exowatt ($110 million for edge compute in critical industries).

Her sweet spot: $500K to $15 million, with a particular affinity for seed-stage bets on founders who are building markets that don't quite exist yet - and who understand that the go-to-market story is not a second act, it's part of the product itself.

Her parents emigrated from outside Guadalajara, Mexico more than 50 years ago. Viviana grew up in California as a first-generation American and studied Operations Management and Information Systems at Santa Clara University - the kind of degree that is less about any single technology and more about understanding systems, how they fail, and why they succeed.

She has said that as a kid she would dismantle household appliances with her brother just to see how they worked. It is the exact disposition you want in an investor: the compulsion to understand what is actually under the hood, regardless of whether the hood was designed to be opened.

The standard VC heuristic says: find a large addressable market, find a team that can take a meaningful share of it. Viviana's critique of this framework is not philosophical - it's empirical. Felicis passed on companies because the TAM looked too small. Nine out of ten times, they were wrong. Because TAM is not a fixed quantity: it is something that great companies create.

Shopify did not enter e-commerce because the market for boutique online stores was enormous in 2006. Canva did not identify graphic design software as an underserved multibillion-dollar opportunity. They built categories. The TAM came after. Viviana watched this pattern enough times that it became the organizing principle of how she evaluates companies.

What she's looking for: founders who understand that their competition is not just other startups - it's buyer inertia, industry convention, and the fact that the people they're selling to have busy jobs and limited attention. A company that looks, acts, and feels different from everything else in its space will get that attention. The ones that look like everyone else are competing on price before they've even started.

Her investment parameters reflect this focus: $500K to $15 million tickets, a sweet spot around $7.8 million, with a bias toward companies where the go-to-market thesis is as defensible as the product. She co-invests across the roster of top-tier firms - Sequoia, Coatue, Andreessen Horowitz - but brings something different to the table: an operator who has lived inside the category-creation problem and knows exactly what questions to ask.

The portfolio spans the full arc of what the AI era looks like from the seed stage: foundation models and the infrastructure that runs them, applications that are AI-native from day one, and developer tools that let the next generation of builders move faster. Several of her bets have grown into companies that are defining their categories entirely.

Most venture capital is practiced by people who have studied companies from the outside. Viviana's edge is that she has been inside the walls of the difficult moments - the acquisition that felt like a win and then became an organizational challenge (Yammer to Microsoft), the category that needed to be named before it could be sold, the product that was technically brilliant and commercially invisible.

That experience shows up in how she works with founders. It is not enough to back them at the seed stage and show up at board meetings. She gets into the weeds: brand strategy, messaging, how to recruit the first go-to-market hire, how to define a category before anyone else has the language for it. This is not unusual for an operator-turned-investor. What is unusual is that she has done it repeatedly, across categories that did not previously exist, at companies that went on to be worth billions.

At Emergence Capital, before Felicis, she helped create more than $150 billion in new market capitalization working with portfolio companies on exactly these questions. The number matters less than what it represents: she has been in rooms where the question was "does this category exist?" and she helped build the answer.

She also writes. Her TechCrunch author byline is not a vanity project - it is part of how she participates in the intellectual ecosystem she invests in. Not many GPs can say they are active contributors to the editorial record of the industry they cover.