Seth Rosenberg

Who they are

Seth Rosenberg is a General Partner at Greylock — co-founded Tome, the AI storytelling startup that raised a $43M Series A led by Coatue, and hosts the Product-Led AI podcast.

Person

Seth joined Greylock in March 2017, moving from a product background at Meta into venture. Before that he was a PM — a track that ran through consumer and enterprise products — and he co-founded Stack Holdings, Ltd., though the details of that venture are sparse. The bigger founding story is Tome: he started the AI-powered storytelling startup in 2020, developed out of pandemic lockdown brainstorming, and it went on to raise a $43M round including a Series A led by Coatue, with Reid Hoffman joining the board. He sits on the boards of Bretton AI and Espresso Systems, giving him a portfolio foot in both AI applications and infrastructure. He holds a Bachelor of Commerce from Queen's University and a BBA from ESSEC Business School — a dual-country education that tracks with a career that has moved between product, operations, and capital. His public voice runs wide: Medium essays on international relations, political theory, psychology, and AI; a 2023 Fortune interview on his AI investing approach; and the Product-Led AI podcast, where he interviews AI builders about enterprise adoption. He keeps a site at sethrosenberg.me.

Network

The clearest named relationship is Reid Hoffman — Greylock colleague who led Tome's seed round and joined its board, making him both a collaborator and a co-investor in Seth's own founding project. Seth has also been involved with Bretton AI and Espresso Systems as a board member, placing him in rooms with founders building AI applications and blockchain infrastructure respectively.

Reid Hoffman· Partner at Greylock; led Tome seed round and board member

How they likely show up

Joined Greylock in March 2017 from a product/operator background → likely evaluates startups through a builder's lens, not a purely financial one.
Co-founded Tome while sitting as a GP → high agency; comfortable running a parallel creative/operational track alongside the day job.
Product-Led AI podcast with ongoing episodes → he processes thinking publicly and iteratively, not just in private memos.
Board seats across AI applications (Bretton AI) and infrastructure (Espresso Systems) → invests across the stack, not a single-layer thesis.
Publicly articulated an 'unusual AI investing strategy' in Fortune (2023) → has a differentiated point of view and is willing to defend it on record.
Medium essays span international relations, political theory, psychology, and AI → reads and thinks broadly; unlikely to be satisfied by a narrowly technical conversation.

Conversation tips

→ Reference a specific episode or guest from the Product-Led AI podcast — he'll know immediately whether you've actually listened.
→ Come with a view on enterprise AI adoption, not just a product pitch — his public framing is about how AI changes work at the organizational level.
→ Ask about Tome specifically: he built it while inside Greylock, which is an unusual move, and he'll have a candid story about straddling founder and investor identity.
→ Don't stay surface-level on AI — his Fortune interview signals he's thought hard about where the crowded consensus is wrong and has a contrarian thesis ready to share.

Toolbox

Openers

Open on Tome — he co-founded an AI storytelling startup in 2020 while serving as a GP, and it raised a $43M Series A led by Coatue with Reid Hoffman on the board. That's an unusual dual identity and worth asking about directly.
Reference his Fortune 2023 interview on his 'unusual AI investing strategy' — he put a differentiated thesis on record and leading with that shows you've done the work.
Mention the Product-Led AI podcast — he launched it to explore how AI actually lands inside enterprises, and it's a window into which problems and founders he finds worth a conversation.

Discovery questions

You were advising Tome from the very beginning while running as a GP — how did being a founder on the side change the way you evaluate AI startups coming through Greylock?
Your Espresso Systems board seat is in blockchain infrastructure and Bretton AI is in AI applications — what's the thesis that connects those two bets?
On the Product-Led AI podcast you're focused on enterprise adoption — where do you think the consensus view among investors is most wrong about how that actually plays out inside companies?

Avoid

Don't pitch a generic 'AI is changing everything' narrative — he's on record with a deliberately differentiated investing strategy and will disengage if the conversation stays at that altitude.

Make it yours