Jerry Chen

Who they are

Jerry Chen is a General Partner at Greylock — a Stanford BS and Harvard MBA who spent a decade at VMware as VP of Cloud and Application Services before crossing into venture in 2013, and now sits on the boards of LlamaIndex, Onehouse, and Docker.

Person

Jerry joined Greylock in June 2013 — stepping into one of Silicon Valley's most established venture firms after a long operator run at VMware, where he rose to VP of Cloud and Application Services. He holds a BS from Stanford and an MBA from Harvard Business School, a dual credential that signals equal comfort with technical depth and business strategy. His decade-plus at VMware — covering cloud infrastructure and application services — gave him a close-up view of how enterprise software gets built, sold, and scaled, and that operator lens clearly shapes where he bets. The board portfolio reads like a map of his conviction: LlamaIndex and Onehouse on the AI/data infrastructure side, Docker and Blend and Notable on the developer and enterprise software side, Mandolin on the consumer side. He writes actively — on the Greylock blog, on TechCrunch, and on Medium — covering developer-led growth, cloud infrastructure, and AI investing. He's spoken at Masters of Scale, 20VC, TechCrunch Disrupt, and Heavybit's Venture Confidential, usually on the same themes: how developers drive enterprise adoption, startup risk, and when VCs stray outside their strike zone.

Company

Greylock's most recent moves are concentrated in AI and enterprise infrastructure. In March 2026, it co-led a $54 million Series B for Axiamatic, an agentic platform targeting enterprise transformation, alongside Bessemer Venture Partners. A month earlier, in February 2026, Greylock co-led a $53 million round for Cogent, an AI cybersecurity company focused on detecting and remediating software vulnerabilities, with Bain Capital Ventures and Definition. On the portfolio exit side, Chronosphere was acquired by Palo Alto Networks for $3.35 billion in November 2025, and Figma listed on the NYSE at a $13.5 billion market cap in December 2025. Greylock made 24 investments in 2025 and 7 in early 2026, and runs the Greylock Edge program — a 3-month company-building program for pre-idea and pre-seed founders.

Market

Greylock sits at the top tier of early-stage venture, competing with firms like Bessemer Venture Partners and SV Angel, though it frequently co-invests with both. The firm has backed over 482 companies, including Facebook, Okta, and Coinbase, and has driven 19 unicorns, 24 IPOs, and 224 acquisitions — a track record that lets it compete for the best seed and Series A deals. AI-native enterprise software and cybersecurity are the dominant investment themes right now, and geopolitical dynamics — trade restrictions, export controls, cross-border compliance — are increasingly a factor for portfolio companies operating in global markets.

Network

Jerry's immediate Greylock colleague network includes Reid Hoffman, Asheem Chandna, David Sze, Saam Motamedi (the firm's youngest GP, focused on AI and infrastructure), and David Thacker. His board roles at LlamaIndex, Onehouse, Mandolin, Blend, Notable, Docker, and Spoke give him a wide operator-founder network across AI data infrastructure, developer tooling, fintech, and live-events tech.

Reid Hoffman· Partner, Greylock
Asheem Chandna· Partner, Greylock
David Sze· Partner, Greylock
Saam Motamedi· General Partner, Greylock
David Thacker· General Partner, Greylock

How they likely show up

Long tenure at Greylock (joined June 2013, now 12+ years) → thinks in fund cycles and long founder relationships, not quick trades.
Decade-plus as an operator at VMware before moving to venture → likely gravitates toward founders who understand enterprise go-to-market and developer adoption, not just product vision.
Active writing across Greylock blog, TechCrunch, and Medium on developer-led growth and cloud → comfortable taking public positions; probably expects the same intellectual directness from founders.
Board seats span AI infrastructure (LlamaIndex, Onehouse), developer tooling (Docker), fintech (Blend), and live events (Mandolin) → broad pattern-matcher who invests in platform-layer bets, not single-vertical plays.
Recurring speaking themes — when VCs stray outside their strike zone, startup risk assessment, the role of the CFO — suggest he values disciplined frameworks over hype-driven narratives.

Conversation tips

→ Come with a specific thesis, not a category label — his public writing signals he distinguishes between 'AI' as a buzzword and concrete developer-led adoption mechanisms.
→ Reference his VMware background when discussing enterprise go-to-market; he's thought hard about how infrastructure gets sold into large organizations and will engage deeply on that.
→ Ask about a specific board company (LlamaIndex, Onehouse, Docker) rather than his portfolio broadly — it signals you've done the work and will get a more candid response.
→ He talks publicly about VCs getting in trouble when they move outside their strike zone — be clear about what his strike zone is and how your topic fits it before pitching anything adjacent.

Toolbox

Openers

Open on the Cogent investment (February 2026) — Greylock co-led a $53 million round betting that AI agents can fix the software vulnerability remediation bottleneck in cybersecurity; it's a concrete expression of how he thinks AI will rewire enterprise workflows, not just augment them.
Reference his 20VC episode on VCs getting in trouble when they move outside their strike zone — it's a specific stated view that opens a real conversation about where he draws the line between his infrastructure thesis and adjacent bets.
Bring up the Chronosphere exit to Palo Alto Networks for $3.35 billion in November 2025 — a Greylock portfolio win in the cybersecurity infrastructure space, directly adjacent to his recent Cogent and Axiamatic bets, and worth probing for what it signals about consolidation in the market.

Discovery questions

Your recent bets — Cogent on AI-driven vulnerability remediation, Axiamatic on agentic enterprise transformation — seem to share a thesis about AI agents replacing human-in-the-loop workflows in the enterprise. How do you distinguish the companies that will actually close that loop from the ones that won't?
You came up as an operator at VMware running cloud and application services before moving to venture — how much does that background shape how you evaluate developer-led growth pitches versus pure product-led growth stories?
With LlamaIndex and Onehouse both on your board, you're sitting at the intersection of the AI data stack — retrieval, ingestion, open table formats. Where do you see the durable platform layer forming, and where is it still up for grabs?

Avoid

Don't pitch a category trend without a specific mechanism — his public writing on developer-led growth and startup risk shows he engages with frameworks, not themes, and generic 'AI is transforming X' framing will lose him fast.

Make it yours