Zeer Sequoia / intent / sequoia

Sequoia

1001-5000 employees·San Mateo, United States·sequoia.com

Observed, not inferred · updated weekly

Buying intent

85 tracked signals | Top 15 topics are below | Engineering and Product are carrying most of it.

37signals · 30 days
63topics tracked
33.33%attributed to a team

Attention by team

LinkedIn activity, by team

Where Sequoia's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Artificial Intelligence
Hiring
Career Development
Employee Experience
AI Monitoring
Total Rewards
Engineering
Medium100% of team Engineering to Artificial Intelligence: Medium, 100% of this team's signals
Engineering to Hiring: no signal
Engineering to Career Development: no signal
Engineering to Employee Experience: no signal
Engineering to AI Monitoring: no signal
Engineering to Total Rewards: no signal
Product
Medium67% of team Product to Artificial Intelligence: Medium, 67% of this team's signals
Product to Hiring: no signal
Product to Career Development: no signal
Product to Employee Experience: no signal
Low33% of team Product to AI Monitoring: Low, 33% of this team's signals
Product to Total Rewards: no signal
Marketing
Marketing to Artificial Intelligence: no signal
Marketing to Hiring: no signal
Marketing to Career Development: no signal
Low50% of team Marketing to Employee Experience: Low, 50% of this team's signals
Marketing to AI Monitoring: no signal
Low50% of team Marketing to Total Rewards: Low, 50% of this team's signals
Others
High38% of team Others to Artificial Intelligence: High, 38% of this team's signals
High25% of team Others to Hiring: High, 25% of this team's signals
Medium19% of team Others to Career Development: Medium, 19% of this team's signals
Low6% of team Others to Employee Experience: Low, 6% of this team's signals
Low6% of team Others to AI Monitoring: Low, 6% of this team's signals
Low6% of team Others to Total Rewards: Low, 6% of this team's signals
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Artificial Intelligence
LinkedIn
High volume
94%
last
3d ago
Hiring
LinkedIn
Medium volume
97%
last
today
Career Development
LinkedIn
Low volume
93%
last
2d ago
Employee Experience
LinkedIn
Low volume
96%
last
4d ago
AI Monitoring
LinkedIn
Low volume
95%
last
9d ago
Total Rewards
LinkedIn
Low volume
98%
last
4d ago
Talent Acquisition
LinkedIn
Low volume
98%
last
26d ago
Real Estate
LinkedIn
Low volume
98%
last
8d ago
Customer Relationship Management (CRM)
LinkedIn
Low volume
98%
last
15d ago
Risk Management
LinkedIn
Low volume
98%
last
8d ago
Connected Experience
LinkedIn
Low volume
98%
last
25d ago
Hybrid Cloud
LinkedIn
Low volume
98%
last
30d ago
Benefits compliance
LinkedIn
Low volume
98%
last
26d ago
Data Protection
LinkedIn
Low volume
96%
last
10d ago
Field Marketing
LinkedIn
Low volume
98%
last
29d ago

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Who's active at Sequoia

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others18 active
researching Data Protection
in
Senior ICresearching Career Development
in
Directorresearching Risk Management
in
researching Work Anniversary
in
Executiveresearching Future of Work
in
Senior Business Consultant
researching Customer Relationship Management (CRM)
in
researching AI Monitoring
in
Employee Benefits Consultant
researching Talent Management
in
Title not on file
researching Talent Acquisition
in
Business Consultant
researching Employee Experience
in
Business Consultant
researching Artificial Intelligence
in
Business Consultant
researching Human Resources -> Employee Services
in
Director, Retirement Advisory Operations
researching Hiring
in
Vice President of Payroll Tax
researching Hiring
in
Director, Global Consulting
Directorresearching Social Media
in
SVP, Enterprise Market
researching Career Development
in
Wellbeing Director
Directorresearching Spring Health
in
+ 8 more in Others
Engineering3 active
senior software engineer
researching Artificial Intelligence
in
vp platform success
Leadershipresearching Real Estate
in
Senior Frontend Engineer
Senior ICresearching Opt-Out
in
+ 3 more in Engineering
Marketing3 active
VP, Growth (East)
VPresearching Cost Management
in
Vice President of Growth
VPresearching Health Plan
in
Principal, VP Business Consulting & Growth
researching Employee Experience
in
+ 3 more in Marketing
Product2 active
Senior Product Manager
Senior ICresearching Artificial Intelligence
in
product manager 2
researching FinTech
in
+ 2 more in Product

See everyone, not just the first 10

26 people across every department at Sequoia, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

Sequoia is an innovative brokerage firm specializing in strategic benefits, HR, and risk management services for hyper growth companies. As a leading venture capital firm, Sequoia Capital has backed successful companies like Apple and Google.

New capability sought

Employee posts (LinkedIn)

Employee Experience; Talent Acquisition; Total Rewards

Top accounts researching Sequoia

names withheld on the public page

These are companies whose own people brought up Sequoia unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

129,094 companies · 649,540 people are researching Artificial Intelligence

Sequoia's own team shows 11 signals on this topic. No one outside Sequoia has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Hiring66,174 cos · 318,882 people
  • Career Development57,400 cos · 377,367 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

Unlock the buyer profile

Company-size breakdown and buyer seniority mix for accounts researching Sequoia.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Marketing — 3 people; Engineering — 3 people; Leadership — 2 people; Product — 2 people; Operations — 1 person; HR / Talent — 1 person

What's been said

public posts mentioning Sequoia

Up to 9 public excerpts naming Sequoia from the past 365 days, across LinkedIn, Reddit, X, YouTube and other public sources.

LinkedInArtificial Intelligence

Sequoia 's clients are building at the edge of what’s possible. They move quickly, they think differently, and they expect their partners to keep up. That applies to benefits, too. AI is making mental health support more accessible, more responsive, and more personalized. That matters. Our clients want solutions that help them scale without adding friction for their people, and we want the same. But in mental health, especially in high-stakes moments, innovation alone is not enough. Trust has to come first. I’m proud of our partnership with Spring Health for exactly that reason. Their work on VERA-MH , an open source evaluation framework for the industry, is the kind of leadership this moment requires: clinically grounded, transparent, and willing to do the hard work of building safety into the technology from the start. Our clients are not looking for more point solutions. They’re looking for partners who bring the best of innovation without compromising on rigor. Because when the stakes are this high, safety is not a feature. It is the foundation. See how a new standard for AI safety in mental health is taking shape: https://lnkd.in/guCJyskA #mentalhealth #suicideprevention #springhealth #sequoia #sequoiaone #peo #healthbenefits

Apr 2026

About this data. Sequoia (sequoia.com). Department attribution is 33.33%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries