Pat Grady on Sequoia’s Investment Process, Founders and Holding Winners

Pat Grady says a market sets the potential ceiling for a company, while the founder determines how much of that opportunity the company captures. The Sequoia partner also rates his firm more highly at sourcing than picking, emphasizing how difficult venture decisions remain even with strong access.

Harry Stebbings speaks with Grady about Sequoia's investment process, founder assessment, hiring and selling. Grady discusses companies in which Sequoia has invested, including HubSpot, ServiceNow, Zoom and Snowflake; his views are those of an interested investor.

Grady describes growing up happily in Gillette, Wyoming, but feeling a strong need to discover a larger world. His youthful fear of boredom became a concern about relevance: he wants to contribute to his family, partners and the world around him.

He uses an annual scorecard across different areas of life to identify where he can improve. Asked about success, he stresses luck: joining Sequoia in 2007 brought a strong brand, the cloud and mobile transition, and later the opportunity to invest during a financial crisis.

Because Sequoia can meet many prominent companies across stages, he views a major winner absent from its portfolio as a possible missed opportunity. He also worries that a prestigious firm can attract people who want to join something already great rather than build it, making humility and hunger important in hiring.

On reputational setbacks, Grady says fair criticism hurts because the underlying mistake hurts, while unfair criticism matters less to him. He takes responsibility for failed investments, even while recognizing that risk-taking necessarily includes failures.

He says Sequoia does not punish someone for a single failed investment or celebrate a single success as proof of skill. The firm examines patterns of decisions, activities and behavior because investment outcomes can take five or ten years to reveal themselves. This is his account of the firm's internal culture.

His investment process has two stages: crystallize a clear thesis and then stress-test it. For Zoom, he gives a simple example: an exceptional founder and the possibility that every room could become a Zoom room. Diligence should test a specific claim rather than begin as an unfocused collection of facts.

Grady says there are no bonus points for being contrarian. The goal is to help founders build strong companies and generate net returns for limited partners. A consensus opportunity can be attractive if the underlying thesis is sound; being different for its own sake is not the objective.

He recalls Sequoia leading HubSpot's Series D in 2011 when the opportunity was controversial and the firm was the only investor to issue a term sheet. In his account Jim Goetz recognized the founders' strengths while Grady contributed market research. Sequoia has a financial interest in the example.

If forced to choose, Grady prefers a spectacular founder in a modest market to an average founder in a huge one. The market constrains scale, but the founder determines execution and may find new products or markets. This is a framework for judgment, not a guarantee that an exceptional person can overcome every market limit.

Growth investors often build similar five-year financial models with declining growth and margin assumptions. Grady says the differentiating question is what happens after the model ends: has the founder grown with the company and found a second or third act, or has the business exhausted its path?

He cites HubSpot co-founder Brian Halligan and co-founder Dharmesh Shah as examples of sustained strategic decisions. Grady describes their product and market around 2011 as much weaker than today, contrasting that period with other portfolio companies that had stronger initial tailwinds.

In his telling, HubSpot chose to serve smaller businesses when conventional economics favored moving upmarket. It acquired Performable, adding marketing automation and engineering talent, then required its later sales product to stand on its own before relying on the existing go-to-market organization.

For founder assessment, Grady looks at founder-market fit and the person's vector. The first includes understanding both the problem and how to build a solution. He cites Harvey, a Sequoia-backed legal AI company, where one co-founder brought legal knowledge and the other AI research experience.

The vector has magnitude and direction: some exceptional ability or consistent performance on an important dimension, plus the motivation to sustain the difficult work of building a company. Grady also considers personal history when it illuminates persistence and purpose.

He recalls passing on Segment's Peter Reinhardt and Revolut's Nikolay Storonsky at Series A after each explained the business clearly in a few minutes. Grady says he mistook the simplicity for a lack of conviction on his part. His lesson is that an exceptional founder can sometimes make the key idea unusually easy to understand.

Grady breaks venture work into sourcing, picking, winning, building and harvesting. He gives Sequoia an eight or nine out of ten for sourcing and roughly six out of ten for picking, while saying picking is hard for everyone. These are subjective self-ratings, not measured success rates.

He admires Mamoon Hamid's investments at Kleiner, including Figma and Slack, as examples of non-obvious selection. Grady says better picking comes through apprenticeship: experienced investors work alongside newer colleagues on real opportunities rather than relying on a rigid checklist to identify every outlier.

He mentions David Cahn's energy and Sonya Huang's work establishing an AI presence as different sourcing approaches. For picking within the growth team, he highlights Andrew Reed, including his Figma investment after years studying the design market. These examples also concern Sequoia colleagues and portfolio interests.

Grady estimates Sequoia won almost every situation it pursued in the previous twelve months, with one likely exception even though the firm did not submit an offer. He gives winning nine out of ten and says brand alone is insufficient: founders must also want the relationship. The figure is his informal account, not independently verified.

His favorite example of earning an investment is ServiceNow in 2009. Founder Fred Luddy's business generated cash and did not need to raise money. Doug Leone and Grady visited to understand problems the company faced, rather than waiting for a formal funding process.

Grady recalls learning that ServiceNow generated about $20 million of free cash flow on $25 million of ARR, aided by advance payments on two- and three-year contracts. The cash-flow and ARR figures measure different things and reflect his recollection of that period.

One issue was infrastructure: customer demand had outpaced the company's backend, causing latency and downtime. Leone connected Luddy with technical operations expert Marty Abbott, who helped address the problem. Grady says that practical assistance helped create an opportunity for Sequoia to invest despite no immediate need for capital.

He says Sequoia invested $52 million for 20%, implying a $260 million post-money valuation. Grady attributes Leone's effectiveness to doing the work himself, asking wide-ranging questions and understanding the person and business during the first meeting.

Asked whether investors truly create enterprise value, Grady explains how Sequoia expanded its operating platform. He says the investment team grew from 14 to 27 over 17 years, while marketing, talent and other front-office operators grew from two to almost 60. Those figures describe his count at the time of the interview.

The firm chose a relatively small investor team to concentrate experience, while using the operating platform to extend its capacity and help founders. An internal technology and data system also helps prioritize companies to meet; Grady says it is not intended to make final investment decisions.

He says signals work better for growth companies than the earliest startups, where outliers are hard to detect. Sequoia's Arc program provides another route to founders. He reports a net promoter score of 100 for the latest cohort and strong founder interest, while saying it is too early to know whether Arc will produce returns for limited partners.

Stebbings asks whether multiple funds and programs distract the firm from its main business. Grady favors experimentation but says an experiment should be shut down unless it has a credible path to being a major success. Early imperfections do not alone invalidate it; the burden of proof remains on the experiment.

He thinks Sequoia might have separated its India and China businesses sooner than it did in 2023, as technology ecosystems became more geographically distinct than anticipated. He praises the regional partners and says the firm wanted to be careful with a decision of that magnitude.

On hiring, Grady recalls a rigorous process that began with a top-of-funnel pool of about 9,000 and ultimately hired Andrew Reed and Matt Huang in 2014. He treats recruiting as a managed process with both quantitative reach and the human judgment needed to understand candidates.

His lesson is to identify a few genuinely essential attributes before evaluating candidates. A long list of preferences can create late objections over requirements nobody agreed were necessary. Some positions emphasize underlying qualities and potential, while others emphasize relevant operating experience.

He cites Carl Eschenbach and Brian Halligan as experienced operators whose effectiveness also depends on how they work with founders. In his view, the best advisers listen, ask questions, give direct feedback with care and see themselves as serving the founder rather than issuing instructions.

Selling is difficult in both directions. Grady says some companies, including YouTube and PayPal, were sold too soon in hindsight, while others were held too long. He mentions an unnamed company where an almost $5 billion acquisition offer was not accepted and the subsequent trajectory became less favorable; this is his account, not a realized gain.

For ServiceNow, he estimates a hypothetical $30 billion gain if the position had been held through the interview date. Sequoia instead distributed the position over time in the first few years after the IPO, securing its first roughly $1 billion growth-business gain. The larger figure is a counterfactual, not money actually returned.

He says patience is not always correct either: some assets held through 2021 were worth less later. Firms can choose a programmatic distribution schedule or dedicate resources to forming a view on each position. Sequoia has chosen the latter approach, according to Grady.

He cites Square as a case where a position that represented a gain of a few hundred million dollars at IPO became a multibillion-dollar gain by distribution about five years later. He also attributes more than $1 billion of additional proceeds in a Palo Alto Networks comparison to greater patience than a co-investor. These are his reported examples, not independently audited figures in the interview.

Grady says sourcing has become a relative weakness for him compared with earlier in his career. Experience can improve selection, but the best investors still need the energy to examine details closely enough to distinguish good companies from exceptional ones.

Stebbings argues that a Sequoia investment can make subsequent fundraising easier, giving founders more time to find product-market fit. Grady agrees and cites an internal comparison in which the average next-round valuation for Sequoia-backed companies was four times the average without Sequoia. The interview does not specify the sample or methodology, so the comparison does not establish that Sequoia caused the difference.

He says Sequoia may have pricing power at seed and Series A because founders value its support and brand, but that advantage diminishes as a business becomes established. His statement reflects the firm's own commercial position.

Grady does not require a precise path to a $10 billion or $100 billion company at entry. He wants a plausible path to good returns and a founder capable of finding more upside. On his own job, he says retaining talented partners and keeping them working as a team is a major challenge.

He conducts a premortem on Sequoia's future and repeatedly arrives at the same risk: complacency. The firm's advantages cannot substitute for the urgency and humility that helped create them, he says. He wants the team to behave as if it must earn its position anew.

In quick-fire questions, Grady argues for doing fewer things better rather than expanding before the core product is clearly superior. On investment votes, he says Sequoia's records since 2014 suggest conviction matters more than whether a decision is unanimous or contentious, while acknowledging that the number of outlier outcomes is too small for a conclusive result.

He remembers an early meeting with Zoom founder Eric Yuan, whose enthusiasm for the product stood out despite an unimpressive office. Another memorable meeting involved a trip through southern Sweden to visit QlikTech. The examples illustrate his emphasis on the company and people rather than appearances.

From Jim Goetz, he learned to look for a credible view of the future even when present data is incomplete. Grady recalls doubting cloud software in 2007 while Goetz believed that software would move to the cloud. The lesson, he says, is to form a considered thesis rather than depend only on current numbers.

Grady believes even current foundation-model capabilities, if made easier to use and integrated into developer ecosystems, could transform large industries and create substantial market value. This is his forward-looking opinion, not a measured estimate of value already created.

Stebbings asks why Grady mentored him early in his career. Grady says he saw curiosity, hard work and a clear sense of purpose: qualities that made him want a long-term relationship. They close by reflecting on the value of friendship and mentorship.