Saam Motamedi

Who they are

Saam Motamedi is General Partner at Greylock — Stanford CS grad and Mayfield Fellow who co-founded Guru Labs, a machine-learning fintech, before joining Greylock and becoming its youngest-ever General Partner in 2019.

Person

Saam joined Greylock in 2016 as an Associate, when the firm had already backed LinkedIn and Facebook but was still finding its AI-first identity — he's been there through the entire enterprise AI wave. He studied Computer Science at Stanford as a Mayfield Fellow, then did an early product role at RelateIQ (the CRM startup acquired by Salesforce), and a research stint at the University of Texas Medical Branch. Before joining Greylock full-time he co-founded two companies: Guru Labs, a machine-learning fintech that used credit card transaction data to predict customer preferences for offline merchants, and Grow Labs, a separate startup co-founded around the same period. In 2019, Forbes reported he became Greylock's youngest-ever General Partner. His thesis is applied AI in the enterprise: he asks founders first-principles questions about what will be true in 5–7 years, and he weights product taste and velocity heavily in founder evaluation. He writes actively on TechCrunch, Medium, and Greylock's Greymatter blog — covering enterprise AI, data-centric AI, and cybersecurity — and speaks regularly at RSA Conference, the Engineering Leadership Community, and podcasts including 20VC and The Takeoff.

Company

In July 2026, Greylock closed Greylock 18, its 18th fund, at $1.5 billion, dedicated entirely to early-stage AI-native startups — Saam is named its primary public voice. The firm has been actively deploying: in March 2026 it led a $54 million Series A in Axiamatic, an AI-agentic platform for enterprise transformation monitoring, and in February 2026 it backed Resolve AI's $125 million Series A at a $1 billion post-money valuation, with Resolve subsequently announcing additional funding at a $1.5 billion valuation in June 2026. On the team side, Greylock added Mor Chen as Partner to lead Israeli investments (March 2026), hired Neiman Mathew as an AI-focused Partner in April 2026, brought on Chang Li as Marketing Partner in 2026, and appointed Glenn Kelman — former Redfin CEO — as Executive-in-Residence in June 2026 to work directly with founders on leadership and scaling. Firm-level portfolio highlights in the recent past include IPOs of Figma and Rubrik, and Palo Alto Networks' acquisition of Chronosphere.

Market

Greylock competes for early-stage AI and enterprise SaaS deals primarily against Benchmark, Founders Fund, and True Ventures — firms with overlapping stage and sector focus. It occupies a deliberate middle ground between seed-only programs and multi-strategy mega-funds, emphasizing hands-on partnership and first-check conviction; over 80% of its checks are first checks. Cybersecurity vulnerability volume rose 162% from 2020 to 2025, and geopolitical pressure around data sovereignty is accelerating demand for on-premises AI security — both tailwinds Greylock is explicitly betting on through investments like Tenzai, Cogent Security, Cylake, Upwind, Abnormal AI, and Apiiro.

Network

Saam's closest working network runs through Greylock's partner table — Reid Hoffman, Asheem Chandna, and Jerry Chen are named collaborators — and through his board seats, which put him in direct working relationships with founders at Abnormal AI (Evan Reiser, Sanjay Jeyakumar), Cresta (Ping Wu, Zayd Enam, Tim Shi, Sebastian Thrun), Snorkel AI (Alex Ratner, Chris Ré, Paroma Varma, Braden Hancock, Henry Ehrenberg), and Apiiro (Idan Plotnik, Yonatan Eldar). He also has board or investor involvement at Upwind Security, Resolve AI, Braintrust, Opal Security, and Fable Security, giving him a dense cross-portfolio network across enterprise AI and cybersecurity.

Reid Hoffman· Partner, Greylock
Asheem Chandna· Partner, Greylock (cybersecurity lead)
Jerry Chen· Partner, Greylock
Evan Reiser· Co-founder/CEO, Abnormal AI
Alex Ratner· Co-founder/CEO, Snorkel AI
Idan Plotnik· Co-founder, Apiiro

How they likely show up

Long tenure at Greylock since 2016, rising from Associate to GP — likely thinks in multi-year conviction cycles, not reactive deal-by-deal momentum.
Co-founded two companies (Guru Labs, Grow Labs) before entering VC — brings operator pattern-matching to board discussions, not just capital-allocator instincts.
Public themes consistently center on 5–7 year first-principles questions → he likely probes founders on durable structural bets, not near-term metrics.
Active across TechCrunch, Medium, Greymatter, and multiple podcast circuits → comfortable being a public-facing voice and probably pays attention to whether a counterpart has done the reading.
Board seats span both cybersecurity (Abnormal AI, Upwind, Apiiro, Opal) and AI infrastructure (Snorkel AI, Cresta, Resolve AI, Braintrust) → operates fluidly across two distinct technical domains; doesn't stay in one lane.
Named primary public voice on Greylock 18 → carries institutional weight on AI-native investing thesis and is likely the right first call for early-stage AI founders targeting Greylock.

Conversation tips

→ Reference a specific portfolio company he's backed and ask about what the original thesis was — he's spoken publicly about how Snorkel AI pitched him and he has detailed recall on these conviction moments.
→ Come with a specific view on where enterprise AI is going in 5–7 years — he asks founders this question; mirroring it back sharpens the conversation fast.
→ If you've read his TechCrunch pieces or Greymatter posts, name the specific piece — vague compliments about 'your writing' won't land the way a specific reference will.
→ He values product taste and velocity in founders — if you're a founder, lead with what you've already shipped and why the product decision was hard, not with TAM slides.
→ Don't treat cybersecurity and AI as separate tracks with him — his portfolio integrates both, and he's more interested in how they converge than in either as a standalone category.

Toolbox

Openers

Open on the Greylock 18 close — $1.5 billion dedicated entirely to AI-native founders, and he's the named public face of it. Ask what 'AI-native' means to him in diligence terms versus just a fundraising label.
Reference his Greymatter piece 'Jumpstarting Data-Centric AI' — he argued publicly for a specific thesis about how AI gets built in enterprises. It's a good anchor for where he's investing now versus then.
Mention Guru Labs — he co-founded a machine-learning fintech before joining Greylock, using credit card transaction data to predict customer preferences for offline merchants. Most people don't know he was an operator first; it usually opens a different conversation than the typical 'career VC' framing.

Discovery questions

Greylock led Resolve AI's Series A at $1 billion and then saw it reach $1.5 billion valuation within months — how do you think about the pace of AI company formation compressing traditional fund cycle assumptions?
You've backed companies on both sides of the AI-security stack — Snorkel AI on the data infrastructure side and Abnormal AI and Upwind on the security application side. Where do you think the durable margin sits as those layers commoditize?
You ask founders what will be true in 5–7 years — what's your current answer to that question for enterprise AI, given where Greylock 18 is deploying?

Avoid

Don't pitch broad AI trends or market-size framing without a specific structural insight — he publicly evaluates founders on first-principles thinking, and generic AI enthusiasm reads as a signal that the work hasn't been done.

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