BREAKING
Conviction Partners closes $230M Fund II - Vernal joins as General Partner OpenEvidence raises $210M - Vernal-backed medical AI surges Listen Labs named to Forbes AI 50 2026 - Conviction portfolio win Mike Vernal: "A great product is not sufficient for a great business" Graph API architect now betting big on Software 3.0 8 years at Facebook. 7 at Sequoia. The next chapter: AI-native VC Rippling, Clay, Notion, Statsig - the bets that defined a career Conviction Partners closes $230M Fund II - Vernal joins as General Partner OpenEvidence raises $210M - Vernal-backed medical AI surges Listen Labs named to Forbes AI 50 2026 - Conviction portfolio win Mike Vernal: "A great product is not sufficient for a great business" Graph API architect now betting big on Software 3.0 8 years at Facebook. 7 at Sequoia. The next chapter: AI-native VC Rippling, Clay, Notion, Statsig - the bets that defined a career
Mike Vernal - General Partner at Conviction Partners
General Partner, Conviction Partners

Mike
Vernal

"The engineer who built the pipes the internet runs on - now funding what flows through them next."

He co-built the Graph API at Facebook. He backed Rippling before HR software was interesting. Now he's writing checks at an AI-native firm with a $230M fund and zero interest in the way things used to work.

Investor Engineer Conviction Partners ex-Sequoia ex-Facebook VP Harvard CS
8 Years at Facebook
7 Years at Sequoia
$230M Conviction Fund II
20+ Portfolio Companies
2002 Harvard CS, Magna Cum Laude

The Man Who Built the Platform Everyone Else Builds On

When Google launched Google+ in June 2011 - a full-court press to steal Facebook's social graph - the company's internal response wasn't a press release. It was Mike Vernal, quietly redirecting engineering resources like a chess player who'd already seen the next six moves. No panic. No drama. Just tempo, focus, and the disciplined mobilization of a company that had learned to move fast as a cultural reflex, not a slogan.

That's the detail that doesn't make it into the LinkedIn profile. What does: eight years rising to VP of Product and Engineering at Facebook, co-creating Facebook Login and the Graph API, managing the platform's pivotal shift from desktop to mobile, and helping invent the "growth team" as an organizational concept. Then seven years at Sequoia Capital, writing checks into Rippling, Clay, Notion, Statsig, and Verkada. Then a deliberate sabbatical - a rare, intentional pause from someone known for relentless output. Then Conviction Partners, where he's now General Partner alongside Sarah Guo, deploying a $230 million fund into what they call Software 3.0.

At 45, Mike Vernal is mid-stride in his third act. And unlike most people who talk about AI as though it's a theme, he's been inside the infrastructure layer of the last two platform shifts. He's not observing. He's pattern-matching.

"Execution matters. Execution matters. Tempo matters. Focus matters."

Mike Vernal - on what Facebook actually taught him

Harvard, Microsoft, and the Eight-Year Education

He arrived at Harvard in 1998, left in 2002 with both a bachelor's and a master's in Computer Science - earned simultaneously, magna cum laude. Before the Facebook chapter, there was a quieter one: six years at Microsoft, working on Windows Communication Foundation in Redmond. Solid infrastructure work. The kind of foundational systems knowledge that, years later, would make his instincts about developer platforms unusually precise.

Spell-check once changed the title of his Harvard paper on Salman Rushdie to "Salmon Residue." His professor played along for an entire seminar before revealing the joke. Vernal has cited this as formative. The lesson isn't about spell-check.

He joined Facebook in January 2008 as Director of Engineering. The timing was not accidental. Facebook was still primarily a desktop product navigating its first real infrastructure stress tests. The mobile era was approaching like a freight train with nobody yet willing to say how loud it was going to be.

From 2009 to 2013, Vernal led the Facebook Platform team through the transition that nobody in Silicon Valley had a clean playbook for. The Graph API became the connective tissue for an entire generation of web applications. Facebook Login made authentication a commodity. The Audience Network turned a social platform into an advertising system that apps outside Facebook could monetize through. These weren't feature launches. They were infrastructure decisions that reshaped the relationship between users, apps, and identity at internet scale.

The Idea That Became a Framework

By the time he left Facebook in 2016 - triggered, he's said, by a period of paternity leave that created space to think - he had a decade of operator pattern recognition that most VCs acquire secondhand, if at all. Sequoia brought him on in May 2016 precisely because of it.

At Sequoia, Vernal published what became one of the more circulated investing frameworks of the last decade: The Market Curve. The premise is deceptively simple. Every business sits somewhere on a spectrum from pure enterprise (few customers, enormous annual contract values) to pure consumer (billions of users, pennies per person). The mistake most founders make is treating "large market" as self-evident rather than interrogating whether the number of reachable customers times the realistic revenue per customer actually produces a venture-scale outcome.

Core formula: Market Size = (Number of Customers) x (Revenue per Customer). Simple math that most pitches get wrong.

It sounds obvious in hindsight. It was not obvious at the time, or at least not stated with enough precision to be useful. Sequoia published the essay in October 2020. It's still circulating in founders' Notion docs.

The Bets That Defined a Career

Rippling was the first one people really noticed. Parker Conrad had already failed spectacularly and publicly with Zenefits. Backing him again was not the consensus trade. Vernal backed him. Rippling is now one of the most-watched enterprise companies in the Valley, with a "compound software" thesis that Vernal articulated in a 2021 Sequoia essay before most people had the vocabulary for it.

Clay came next on the radar - a relationship intelligence tool that most early observers categorized as "another CRM" and therefore missed entirely. Vernal has been on the board since May 2019. Clay is now widely credited with redefining what CRM means in an era of data enrichment and workflow automation.

Statsig, Verkada, Notion (which he'd backed as an angel even before Sequoia), Citizen, Rockset, Whisper for hearing tech - the portfolio reflects an investor who moves between enterprise infrastructure, developer tools, and consumer applications without treating them as categorically different problems. That's the operator lens showing.

He's also consistently skeptical of one of venture capital's favorite narratives: the data moat. "I personally am pretty skeptical," he said on 20VC, arguing that workflow integration creates stickier competitive advantages than data possession alone - and that the rise of synthetic data may erode the moat further. In a field where data flywheel arguments are standard fundraising currency, that's a minority position worth tracking.

"I personally am pretty skeptical about the durability of data moats."

Mike Vernal - 20VC Podcast

The Sabbatical and the Third Act

He left Sequoia in July 2023. The departure coincided with a broader restructuring at the firm - Michael Moritz stepping back, crypto-focused partners departing, the organization reconfiguring itself around a new geography and a new era. The timing looked meaningful. The sabbatical that followed looked deliberate.

By January 2025, he'd resurfaced at Conviction Partners, the AI-native fund built by Sarah Guo after she left Greylock. The announcement landed alongside the close of Conviction's Fund II at $230 million - more than double the debut fund. Total AUM: roughly $330 million in three years. The team is small and focused: Guo, Vernal, and partner Pranav Reddy. No sprawling associate layer. No platform team bureaucracy.

The thesis is Software 3.0 - the idea that AI fundamentally changes what software is, not just what it does. First checks of $1 million to $25 million. Early portfolio wins are already landing: OpenEvidence raised $210 million from GV and Kleiner Perkins in 2025. Listen Labs made the Forbes AI 50 for 2026. Thinking Machines Lab is in the portfolio.

The pattern is recognizable to anyone who watched Vernal at Sequoia: infrastructure-adjacent bets, developer tools, and applications that sit at the layer where enterprise workflows actually live. The difference now is that the platform shift is happening faster than the one he navigated at Facebook, and he knows it.

5:30am, One Hundred Years of Solitude, and the Radiohead Bassist

The man who shipped the Graph API on four hours of sleep a night now goes to bed at a reasonable hour and starts work at 5:30am. He's described the shift as transformative for his clarity and output - the kind of lifestyle change that's unremarkable as a piece of advice and apparently quite difficult to actually execute at VP-of-Facebook pace.

He guards the 6pm to 9pm window every day. That's for his kids. Non-negotiable. He's said that the best predictor of adult resilience is the quality of care in the first five years of life - which makes the time block not a work-life balance gesture but a considered investment thesis applied to parenting.

His favorite book is One Hundred Years of Solitude by Gabriel Garcia Marquez, which he describes as "the most magically written book." He's currently reading The Power Broker by Robert Caro - a book about Robert Moses, the man who shaped New York City through infrastructure decisions while displacing hundreds of thousands of people. The reading list of someone who thinks about platform power and second-order consequences for a living.

Asked in a quickfire interview round to name an underrated talent, he said Colin Greenwood. Radiohead's bassist. Not the obvious answer. He wishes he knew more about macroeconomics and chip architecture. His technical expertise, he's said, "peaks at the kernel level." That's a notably precise thing to know about yourself.

What He Actually Believes

Almost every startup underprices its product. He's observed this consistently across his portfolio, and says it almost never runs in the other direction. Founders are better at building than they are at extracting value from what they've built.

He acknowledges a tendency to overthink investments. The gut instinct shows up, the data interrogation begins, the instinct gets second-guessed. He's talked about it publicly on 20VC, which is either unusual self-awareness or an extremely efficient way to prevent the tendency from catching him again.

He believes most conflict inside organizations traces back to information asymmetry - not bad faith, not incompetence, but people working from different facts. His recommended starting assumption: "the other side is smart and well-intentioned." It's the kind of advice that's easy to say and hard to maintain when you're in the middle of a platform war and Google just launched a competing social network.

He built the infrastructure layer for the social web. He backed the software that runs the workforce. Now he's underwriting what comes next. The thread connecting all three acts isn't the platforms or the firms - it's the same question: what does the next layer of computing infrastructure make possible, and who gets there first?

The Bets

Rippling
Enterprise / HR
Led investment. "Rebundling of enterprise software."
Clay
CRM / Data
Board since 2019. Redefined relationship intelligence.
Notion
Productivity
Angel investor since 2013, before Sequoia.
Statsig
Product Analytics
Board since Feb 2021. New era of product development.
Verkada
Security / Hardware
Led investment. Physical security infrastructure.
Rockset
Real-Time Data
Board member. Real-time cloud data stack.
OpenEvidence
Medical AI
Conviction bet. $210M raised in 2025.
Listen Labs
Audio / AI
Conviction bet. Forbes AI 50, 2026.
Citizen
Public Safety App
Board member. Real-time safety alerts.
Captions
AI Video
Board role. AI-powered video creation.
Fireworks AI
AI Infrastructure
Seed investor, 2022. Fast model inference.
Census
Data / Ops
Reverse ETL for operational analytics.

The Market Curve

Published October 2020. Still circulating in founders' Notion docs.

The premise: Market Size = (Number of Customers) x (Revenue per Customer). Every business lives somewhere on a spectrum. The mistake is assuming the spectrum doesn't matter.

Enterprise SMB Prosumer Marketplace Consumer
Medallia
$550K/customer
Zoom
$7.1K/customer
Yelp
~$800/SMB
Grubhub
~$67/diner
Snap
~$10.90/user
Facebook
~$28/user
Few customers, high ACV ----------> Many users, low ARPU

Core insight: "A great product is not sufficient for a great business - you need a great market, too."

Things Worth Quoting

"Most conflict is rooted in information asymmetry."

Sequoia Seven Questions

"Always start by assuming that the other side is smart and well-intentioned."

On managing teams

"Don't over-intellectualize it. At some point, all startups are irrationally hard."

On founding companies

"The best predictor of resilience as an adult is the amount of love and support you get in your first five years."

On why 6-9pm is non-negotiable

"I personally am pretty skeptical about the durability of data moats."

20VC Podcast

"Your internal conviction about an opportunity matters more than external feedback."

On venture decision-making