Seth Rosenberg

Who they are

Seth Rosenberg is a GP at Greylock Partners — co-founded Tome, an AI-powered storytelling startup that raised $43M, and hosts the Product-Led AI podcast.

Person

Seth joined Greylock in March 2017 and has built his investment identity around the intersection of product thinking and AI. He came up through commerce and business school — a Bachelor of Commerce at Queen's University and a BBA at ESSEC Business School — before landing in product management, including a stint at Meta. That operator background shows up in how he invests: he co-founded Tome in 2020, an AI-powered storytelling startup born out of pandemic brainstorming sessions, which raised $43M including a Series A led by Coatue with Reid Hoffman joining the board. He hosts the Product-Led AI podcast — conversations with AI builders about how AI is reshaping work and enterprise adoption — and writes on Medium across international relations, political theory, psychology, and AI. He also sits on the boards of Bretton AI and Espresso Systems, and keeps a site at sethrosenberg.me. The through-line is an operator-turned-investor who doesn't just back AI companies — he builds alongside them.

Network

Reid Hoffman is Seth's Greylock colleague and led the seed round for Tome, joining its board — the clearest named relationship in the public record. Seth has also moderated LinkedIn panels on AI agents and marketplaces, and appears at The Startup Conference, suggesting a broader network of founders and operators in the AI-enterprise space, though specific names beyond Hoffman aren't surfaced in the available claims.

Reid Hoffman· Partner at Greylock; led seed round for Tome and joined its board

How they likely show up

Co-founded Tome alongside a full-time GP role → high agency; not content to observe from the sideboard, he builds when he sees a gap.
Product management background at Meta before moving to VC → likely evaluates pitches through a product and user-adoption lens, not purely financial.
Hosts the Product-Led AI podcast and moderates LinkedIn panels → comfortable being public and on the record; probably responds well to substantive, pre-read conversations.
Medium essays span international relations, political theory, and AI — not just tech themes → reads broadly and thinks in frameworks beyond the sector.
Joined Greylock in March 2017 and has stayed — nearly a decade at one firm → values institutional continuity; not a job-hopper, likely plays long games with founders too.
Possibly — board seats at Bretton AI and Espresso Systems alongside Tome involvement suggest he gravitates toward infrastructure-adjacent and AI-native bets, though the full portfolio thesis isn't stated.

Conversation tips

→ Reference a specific episode or guest from the Product-Led AI podcast — he'll know immediately whether you've actually listened.
→ Bring a point of view on enterprise AI adoption, not just AI capability — his public framing is consistently 'product-led,' so he'll engage more on the how-does-it-land-in-orgs question than on model benchmarks.
→ Ask about building Tome from inside a VC firm — it's an unusual move and he'll have a real answer about what he learned as a founder that changed how he invests.
→ He writes on political theory and international relations, so if there's a macro or geopolitical angle relevant to your topic, he's likely to have a take — don't be surprised if the conversation goes there.

Toolbox

Openers

Open on Tome — he co-founded an AI storytelling startup in 2020 while at Greylock, and it raised $43M with Reid Hoffman on the board. That's an unusual move for a sitting GP and signals something specific about how he thinks about conviction.
Reference the Product-Led AI podcast: he launched it to talk with AI builders about enterprise adoption, not AI hype in the abstract — a focused editorial bet worth asking him to explain.
He writes on Medium across AI, international relations, and political theory — bringing up the non-tech range of his writing is a signal you've actually looked, and it opens a broader conversation about how he thinks.

Discovery questions

Co-founding Tome while you were already a GP at Greylock is rare — what did going through that as a founder change about how you evaluate founders now?
Your podcast framing is 'product-led AI' specifically — what does that mean in practice when you're assessing whether an AI startup has actually cracked enterprise adoption versus just enterprise interest?
You're on the boards of Bretton AI and Espresso Systems alongside earlier bets — how do you think about the infrastructure-versus-application layer as AI matures?

Avoid

Don't pitch a broad AI thesis and expect it to land — he is an active builder and podcaster with clearly formed views on product-led AI adoption, so generic 'AI is eating the world' framing will read as underprepared.

Make it yours