Greylock | LinkedIn (original) (raw)
Financial Services
Menlo Park, CA 187,100 followers
We are the first partner for tech founders. Focused on AI-first companies in enterprise and consumer software.
About us
We are the first partner for founders. Over 80% of our investments are the first check: Pre-Seed, Seed, or Series A. Many start on a whiteboard. Focused on AI-first companies. We partner selectively, care deeply, and strive for excellence. We back founders who are building disruptive enterprise and consumer software companies such as: Airbnb (Nasdaq: ABNB), Abnormal Security, Adept AI, AppDynamics, Arista Networks (NYSE: ANET), CATO Networks, Coinbase (Nasdaq: COIN), Discord, Dropbox (Nasdaq: DBX), Figma, Inflection, Instabase, LinkedIn, Meta (Nasdaq: Meta), Nextdoor (NYSE: KIND), Okta (Nasdaq: OKTA), Palo Alto Networks (NYSE: PANW), Roblox (NYSE: RBLX), Rubrik, and Workday (NYSE: WDAY).
Industry
Financial Services
Company size
51-200 employees
Headquarters
Menlo Park, CA
Type
Partnership
Founded
1965
Specialties
early stage venture capital and seed capital and growth capital
Locations
Employees at Greylock
Updates
- We - Greylock - have a long history of partnering with founders starting at day one through IPO. We are excited to share new steps in that effort: 1/ Fund 17, our newest $1B early-stage fund focused on Pre-Seed, Seed, and Series A founders in enterprise & consumer software - specifically AI-first companies across Cyber, Infra, SaaS, Consumer, Marketplaces & Commerce, and Fintech & Crypto. 2/ Edge, a bespoke program to help founders initiate new companies by harnessing the full potential of Greylock’s resources & expertise. Our team works directly with founders to brainstorm & iterate foundational decisions with fully flexible financing options. (visit greylock.com/edge for more info) We are privileged to be early partners to Airbnb, AppDynamics, LinkedIn, Meta, Palo Alto Networks, Okta, Workday and more recently, Abnormal Security, Cato Networks, Discord, Figma, Lyra Health and Rubrik. We can't wait to help the next gen of founders go from idea to iconic.
A $1 Billion Commitment to Day One | Greylock https://greylock.com - Greylock reposted this
Partner, Core Talent at Greylock
14h
Too many founders "wing it" when building their teams—leading to misaligned hires, wasted time, and missed opportunities. If you’re serious about scaling, you need to be as deliberate about hiring as you are about building your product. Here are key lessons I’ve learned at Greylock about early startup hiring to help founders build world-class teams: • Hone your pitch. The best founders clearly articulate an exciting vision for their product or business that entices candidates. • Process makes perfect. From defining the role you're hiring for all the way through full interviews, every step should be measurable, repeatable, and scalable. Track what works, adjust what doesn’t, and document the entire process. • Candidate experience matters. How you treat candidates affects your brand, reputation, and future hires. Treat every candidate as if they will get an offer. Even those who don’t should leave feeling positive enough to refer others. • Take the long view. Every interview is a long-term relationship opportunity. Even if they’re not the right fit today, the candidate could become a valuable connection later. • Quality over quantity. Don’t cast a wide net—target a relevant candidate pool. Do your homework and approach them in a tailored way. High volume creates noise and inefficiency. • Be brutally transparent. Don’t sugarcoat the risks and challenges of a startup. The best candidates value honesty and will appreciate knowing the truth, how they’ll be supported, and how they can grow. • Always be recruiting (ABR). Top founders dedicate time to sourcing and reaching out to candidates. Early hires often come from the founding team’s network, but as that dries up (and it will), recruiting becomes harder. Invest in recruiting activities and leverage dependable resources like VCs, agencies, and investors. • Work with a talent partner. A strong talent partner from your VC firm or network is more than a resume pusher; they’re a guide who can advise and deeply understand your needs while focusing on quality and fit. • Master the preclose. When you extend an offer, don’t rush. Schedule a call to share the exciting news and intent to prepare an offer. Express enthusiasm, revisit motivations, and address open questions. This is also the time to align on comp expectations. A thoughtful approach ensures a successful close. • Bring your best offer upfront. Lowballing or forcing candidates to negotiate can drive top talent away. Leverage startup compensation data, be transparent about your compensation philosophy, and offer competitive packages that reflect the risk and stage they’re joining. Invest in people so they become "unrecruitable." • Onboarding and beyond. Once the offer is accepted, the job isn’t done. Onboard well, and continue to support them as they grow within the company. What’s the biggest hiring lesson you’ve learned? Let’s discuss in the comments! #startup #talent #recruiting #growth - Now Hiring: Snorkel AIOne of the biggest bottlenecks in AI is the lack of labeled training data. Spun out of the Stanford AI Lab, Snorkel helps organizations build specialized AI with their data and expertise. The Series C company counts Memorial Sloan Kettering, Wayfair, and seven of the top US banks as customers, helping them shrink the time to prepare and label raw training data from months down to just weeks. Check out some of the open jobs at Snorkel: ◾ Principal Software Engineer: https://lnkd.in/er5K5WPN◾ Research Engineer: https://lnkd.in/e-iQ6VSv◾ Staff Software Engineer — Backend: https://lnkd.in/g8c66BNgIntroduce yourself: We help talented engineers, designers, sales, and product leaders join the next iconic tech companies. If you are interested in joining an early stage Greylock-backed startup now, or just want to connect for future opportunities, we would love to hear from you. >> Connect with us: https://greylock.com/jobs
- Greylock reposted this
Marketing & Operations Executive || Board Director || Startup Advisor
5d Edited
🌟 One of the most rewarding parts of my role at Greylock is the opportunity to dig deep into the journeys of founders in our portfolio. Every founder story is unique, filled with moments of challenge, triumph, and relentless drive to innovate. Recently, we featured Alexander Ratner of Snorkel AI — a visionary whose passion and determination have shaped the company in remarkable ways. These profiles offer a glimpse into the incredible people behind the tech shaping our future. If you’re as passionate as we are about innovation and leadership, subscribe to the Greylock newsletter for regular updates on founder journeys, industry insights, and more stories from the front lines of startup life. 👉 Subscribe: https://lnkd.in/gkxgfrH6
How Snorkel’s Obsession with Data Fuels its Success in Enterprise AI Greylock on LinkedIn - Today's newsletter highlights our latest profile on Snorkel AI, which helps organizations like Memorial Sloan Kettering, Wayfair, and seven of the top US banks shrink the time to prepare and label raw training data from months down to just weeks. The secret to their success in enterprise AI? The combination of focusing on the data and building based on customer feedback. "It’s this philosophy of listening to our customers and building in the field with them that drives us," says Alexander Ratner, CEO & co-founder of Snorkel. Read on for more about Snorkel's journey 👇
How Snorkel’s Obsession with Data Fuels its Success in Enterprise AI Greylock on LinkedIn - When Alexander Ratner joined the Stanford Artificial Intelligence Lab as a PhD student in 2014, he planned on spending most of his time researching better machine learning modeling techniques and algorithms. But soon after starting in the lab, a variety of people from across the Stanford campus began coming to him with similar requests: help with labeling and curating training data. “At first, we ignored these requests, thinking - like most did in AI then - that this wasn’t our problem,” says Ratner. “Labeling and developing the data used for training and evaluating AI models was viewed as an upstream janitorial task. All people cared about in AI was the fancy new model.” Turns out, the process of training models with the right data became far more important than Ratner and his team initially surmised. He now regards data to be the deciding factor in whether an ML project succeeds or fails. Today, Snorkel AI, which Ratner and four colleagues spun out of SAIL in 2019, works with everyone from Memorial Sloan Kettering to Wayfair to seven of the top US banks. In each case, Snorkel has helped shrink the time to prepare and label raw data from months down to just weeks. Read on for more about Snorkel's journey, and how the company stayed true to their original insight of the importance of the data during the GenAI boom. https://bit.ly/4fKtDQ2
- Greylock reposted this
AI Makes Great Demos Look Easy — But Production Use Cases are HARD Sure, AI demos can be impressive, but enterprises want to see consistent, production-quality AI use cases. Especially in regulated industries, scaling AI requires solid foundations — data architecture, governance, and privacy – with the fastest enterprises having already started tackling challenges back before AI was a household term. If AI pilots aren’t showing clear ROI quickly, enterprises will quickly shut them down and focus energy on what’s working.https://lnkd.in/gQ9NANcC - 🚀 Do you want to be part of the next big thing? 🚀 The talent team at Greylock helps engineering, design, product management, operations, and go-to-market professionals join companies across our portfolio, with a strong emphasis on earlier stage companies, many of which are in stealth or not public yet. Our team prioritizes your motivations and doing the right thing to help people find the best next opportunity for their career. Even if you’re just thinking about whether to take on a new role or want to connect proactively, we’d love to chat. Join the Greylock talent network: https://bit.ly/4guzElh
Talent Network | Greylock https://greylock.com - Greylock reposted this
🏆 Cato Networks has been named to the 2024 CRN Edge Computing 100 list. Cato was recognized in the Edge Hardware, Software and Services category for introducing Cato XDR/Cato EPP in January and Network Stories for Cato XDR in March. 🔗 Story: https://bit.ly/3CmHD42 - Greylock reposted this
Partner at Greylock Partners
2w
"How much ARR do I need to raise a Series A?" This is a question we at Greylock get all the time. We talked about this at last week's TechCrunch Disrupt panel. The short answer is there is no magic number that automatically leads to a Series A. Instead, what we are looking for is the quality of the existing customer base. We'd rather a company have fewer but more discerning customers in their target ICP at strong ACVs that sets the base for a repeatable and scalable sales motion, rather than a higher top-line ARR that isn't repeatable. For more on the panel, see full video here: https://lnkd.in/gK4v8KBE
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