Corinne
Riley

There is a moment every B2B founder dreads: the spreadsheet with exactly zero enterprise customers, and the question "who's your design partner?" hanging in the air. Corinne Riley exists, professionally, to make that moment shorter. Her self-described favorite part of the job is finding the first customers for the companies she backs - not the press release ones, the real ones, with procurement cycles and legal reviews and somebody's job on the line if it doesn't work.

Riley joined Greylock in 2020, becoming Partner at one of Silicon Valley's oldest and most storied firms. The list of Greylock bets reads like a museum of tech history: LinkedIn, Airbnb, Workday, Dropbox, Palo Alto Networks. She arrived not as a career VC, but as someone who had watched the machinery of those outcomes up close from the banking side - working at Morgan Stanley on the IPOs of Uber, Zoom, and Palantir. That's not a casual observation post. That's a front-row seat to how companies cross the chasm from hypergrowth to public markets, and what the foundations need to look like to survive the journey.

Before the investment banking years, she worked in lending finance at CapitalSource, including with fintech startups in Mexico - which is an odd preparation for Silicon Valley venture until you realize it taught her something most investors never learn: what adoption looks like when you can't rely on brand name, network effects, or a familiar regulatory environment. The edge cases teach more than the playbooks.

At Greylock, she's focused on early-stage founders building at two layers that matter most right now: AI infrastructure and AI applications. The distinction is meaningful. Infrastructure without applications is a science project. Applications without infrastructure are a liability. She invests in both, looking for the founders who understand which problem they're actually solving and have the conviction to keep solving it even when enterprise buyers suggest they pivot to something more comfortable.

Her approach to customer development is unusually direct. She spends significant time with enterprise buyers - not pitching them, but asking them what's broken. That intel becomes fuel for the founders in her portfolio. The result is a kind of closed loop: Riley learns what corporate IT is desperate for, matches that to founders building the right primitives, and then makes the introduction that turns a cold call into a warm design partnership. It's less "venture capital" and more "distributed enterprise sales force with a board seat."

She's also building Greylock's institutional machinery for catching founders earlier. The Scout Program, which she created in early 2022, now runs three cohorts of scouts - operators, founders, and specialists embedded across the ecosystem - who collectively invest in over 100 early-stage startups. It's a distributed antenna network for catching signal before it becomes consensus.

Riley's path to venture capital is not the Harvard MBA to Goldman Sachs to VC associate pipeline that produces a lot of investors who all sound the same. She came through economics and history at the University of Chicago - a training in systems and stories, which turns out to be exactly what early-stage investing requires. She was also a Shriver Fellow at the Institute of Politics, which means she spent time thinking seriously about governance and institutional design before she ever looked at a cap table.

The detour through fintech in Mexico is worth lingering on. Most of Silicon Valley's investor class has never worked outside the San Francisco-New York-Boston corridor. Riley did. Emerging market fintech operates on different rules: regulatory uncertainty, limited trust infrastructure, customer acquisition without brand equity, and the need to earn every transaction individually. Those are hard schools. The lessons travel well.

Her Morgan Stanley years gave her something most investors lack: genuine familiarity with the public markets finish line. Working on Uber's IPO means you understand what $80B looks like when it's being priced by institutional investors. Working on Zoom and Palantir adds data points on how the market values different kinds of growth, different kinds of gross margin, different kinds of mission. That mental model informs what she backs at seed stage, and how she thinks about the long arc of company building.