Zeer Qumulo / intent / qumulo

Qumulo

201-500 employees·Seattle, Washington, United States·qumulo.com

Observed, not inferred · updated weekly

Buying intent

22 tracked signals | Top 15 topics are below | Sales and HR are carrying most of it.

19signals · 30 days
18topics tracked
60%attributed to a team

Attention by team

LinkedIn activity, by team

Where Qumulo'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
Data Center
File Servers
Hybrid Cloud
Cancer Research
Cost Control
Sales
Sales to Artificial Intelligence: no signal
High50% of team Sales to Data Center: High, 50% of this team's signals
Medium25% of team Sales to File Servers: Medium, 25% of this team's signals
Sales to Hybrid Cloud: no signal
Sales to Cancer Research: no signal
Medium25% of team Sales to Cost Control: Medium, 25% of this team's signals
HR
Medium100% of team HR to Artificial Intelligence: Medium, 100% of this team's signals
HR to Data Center: no signal
HR to File Servers: no signal
HR to Hybrid Cloud: no signal
HR to Cancer Research: no signal
HR to Cost Control: no signal
Product
Medium100% of team Product to Artificial Intelligence: Medium, 100% of this team's signals
Product to Data Center: no signal
Product to File Servers: no signal
Product to Hybrid Cloud: no signal
Product to Cancer Research: no signal
Product to Cost Control: no signal
Others
High50% of team Others to Artificial Intelligence: High, 50% of this team's signals
Others to Data Center: no signal
Others to File Servers: no signal
Medium25% of team Others to Hybrid Cloud: Medium, 25% of this team's signals
Medium25% of team Others to Cancer Research: Medium, 25% of this team's signals
Others to Cost Control: no signal
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
96%
last
9d ago
Data Center
LinkedIn
Medium volume
96%
last
13d ago
File Servers
LinkedIn
Low volume
98%
last
12d ago
Hybrid Cloud
LinkedIn
Low volume
96%
last
9d ago
Cancer Research
LinkedIn
Low volume
98%
last
17d ago
Cost Control
LinkedIn
Low volume
98%
last
30d ago
Agentic AI System
LinkedIn
Low volume
98%
last
9d ago
Cisco Channel Partners
LinkedIn
Low volume
92%
last
30d ago
Drone Delivery & Logistics
LinkedIn
Low volume
92%
last
25d ago
Channel Marketing
LinkedIn
Low volume
96%
last
9d ago
Data Storage
LinkedIn
Low volume
98%
last
14d ago
Object Storage
LinkedIn
Low volume
96%
last
18d ago
Machine Learning
LinkedIn
Low volume
96%
last
11d ago
Uber Eats
LinkedIn
Low volume
98%
last
25d ago
Cloud Storage
LinkedIn
Low volume
96%
last
18d ago

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Who's active at Qumulo

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.

Sales3 active
Leadershipresearching Data Center
in
researching Cost Control
in
Directorresearching Cisco Channel Partners
in
Others2 active
researching Channel Marketing
in
Leadershipresearching Artificial Intelligence
in
HR1 active
Senior ICresearching Machine Learning
in
Product1 active
Executiveresearching Data Storage
in

Primary products / business lines

LinkedIn company profile

Modern enterprises have to manage exponentially-growing exabyte-scale data stores comprised mostly of unstructured data. Someone (often IT) has the difficult job of staying on top of managing these data stores, which becomes more difficult to do as enterprise datasets expand from the data center to the edge and cloud. And while scale and complexity are rising, budgets and staff are not. Existing

Top accounts researching Qumulo

names withheld on the public page

These are companies whose own people brought up Qumulo 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

Qumulo's own team shows 4 signals on this topic. No one outside Qumulo has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Data Center5,716 cos · 17,164 people
  • File Servers35 cos · 76 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 Qumulo.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 2 people; Sales — 1 person; HR / Talent — 1 person

What's been said

public posts mentioning Qumulo

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

LinkedInUnstructured Data

Healthcare is now being attacked every 10 hours. We've crossed from "rare event" to "operational baseline" — and most architectures are still designed for the old world. Securin's April report: a cyberattack on US healthcare every 10 hours, with 68–72% of victims paying. Days earlier, Anubis ransomware shut Brockton Hospital's ER, diverted ambulances, and cancelled chemotherapy. And just last year, Covenant Health quietly revised its Qilin breach count to 478,000 patients — a 2025 attack whose blast radius kept expanding for months. This isn't three stories. It's one story on a 10-hour cadence. 𝗧𝗵𝗲 𝗟𝗲𝘀𝘀𝗼𝗻𝘀: 𝟭. 𝗗𝗼𝘄𝗻𝘁𝗶𝗺𝗲 𝗶𝘀 𝗮 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗻𝗼𝘄. Ambulance diversions and cancelled chemo aren't "system unavailability" — they're patient harm. If your DR plan measures success in "EHR restored in 72 hours," you're optimizing the wrong metric. 𝟮. 𝗞𝗻𝗼𝘄𝗻 𝗳𝗹𝗮𝘄𝘀 𝗮𝗿𝗲 𝗱𝗼𝗶𝗻𝗴 𝘁𝗵𝗲 𝘄𝗼𝗿𝗸. Attackers aren't getting cleverer — we're getting slower. Most breaches walk in through CVEs that have had patches available for months. Modern infrastructure makes patching a property of the platform, not a quarterly project. 𝟯. 𝗗𝗮𝘁𝗮 𝗶𝘀𝗻'𝘁 𝗮 𝘁𝗮𝗿𝗴𝗲𝘁 — 𝗶𝘁'𝘀 𝘁𝗵𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁. Qilin didn't lock Covenant Health's systems; they shipped 478,000 records to the market. If your storage can't tell you in 60 seconds what data left the building, you don't have a security posture — you have a press release waiting to be written. 𝟰. 𝗥𝗮𝗻𝘀𝗼𝗺 𝗽𝗮𝘆𝗺𝗲𝗻𝘁𝘀 𝗮𝗿𝗲 𝗳𝘂𝗻𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝗮𝘁𝘁𝗮𝗰𝗸. 68-72% of victims pay — and each payment underwrites the next breach. Operators can only credibly refuse to pay when immutable, verifiable recovery moves from Tier-3 ambition to Tier-0 commitment. 𝗧𝗵𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗺𝗲𝘀𝘀𝗮𝗴𝗲: → Measure recovery in clinical outcomes, not RTO checkboxes → Treat unstructured data as inventory attackers will try to ship → Make immutability and verifiable recovery a platform property → Architect for the 10-hour cadence as the floor At Qumulo, we help healthcare organizations build cyber-resilient data infrastructure across AWS, Azure, GCP, Oracle and on-prem. And we believe the storage layer itself has a much bigger role to play in active attack response — detecting ransomware behavior as it unfolds and shortening recovery from weeks to minutes. More on that soon. If healthcare is attacked every 10 hours, the question isn't whether your turn is coming. It's whether your architecture can see it happening — and recover before the damage is done. #Healthcare #Cybersecurity #Ransomware #HealthcareIT #DataResilience #CloudArchitecture #MultiCloud #PatientSafety #Qumulo

May 2026
LinkedInArtificial Intelligence

We’re hiring for several key roles and would love to have you join the team. At Qumulo, you’ll tackle real problems that matter—helping customers manage exabyte-scale data that powers AI breakthroughs, medical diagnostics, and award-winning films. You’ll be part of a team that’s customer-obsessed, transparent by default, and always ready to do the hard, right thing together. Check out these openings: ‣ Territory Account Manager - NYC https://gag.gl/XSDaIX ‣ Manager, Financial Operations & Analysis https://gag.gl/GmGjbC ‣ Pre-Sales Solutions Architect - PNW https://gag.gl/f45Ux9 ‣ M&E Pre-Sales Solutions Architect https://gag.gl/CoraxY ‣ Regional Sales Director, Central Region https://gag.gl/fYvPDT ‣ Strategic Account Manager - Media, Entertainment, Games & Sports https://gag.gl/ot5Ifv

Apr 2026
LinkedInRisk control

In a Cegal benchmark test, Qumulo achieved up to 57% faster performance on Petrel workloads. For professionals in oil and gas, that figure carries real downstream impact. Quicker subsurface modeling leads to better drilling decisions, tighter risk control, and stronger project economics. The hurdle is that subsurface data isn’t stored in a single location. It’s created, kept, and accessed across edge sites, core data centers, and the cloud—often simultaneously, in formats that are難 to move or scale. Qumulo’s energy page explains how the platform manages that complexity, from upstream analysis to simulation workflows, at the scale energy teams actually operate. https://gag.gl/M47T3W

Apr 2026
LinkedIn

When you can’t solve the issue by adding more hardware, the teams under the tightest deadlines feel the impact first. Editors, VFX artists, and colorists juggling enormous file workloads with no room for slowdowns. Qumulo has assembled an ebook that shows what it takes for storage to actually keep up with that level of production pressure. Take a look: https://gag.gl/2kFL9x

Apr 2026
LinkedInArtificial Intelligence

We’re hiring for several key roles and would love to have you join the team. At Qumulo, you’ll tackle real problems that matter—helping customers manage exabyte-scale data that powers AI breakthroughs, medical diagnostics, and award-winning films. You’ll be part of a team that is customer-obsessed, transparent by default, and always willing to do the hard, right thing together. Check out these openings: ‣ Territory Account Manager - NYC https://gag.gl/XSDaIX ‣ Manager, Financial Operations & Analysis https://gag.gl/GmGjbC ‣ Pre-Sales Solutions Architect - PNW https://gag.gl/f45Ux9 ‣ M&E Pre-Sales Solutions Architect https://gag.gl/CoraxY ‣ Regional Sales Director, Central Region https://gag.gl/fYvPDT ‣ Strategic Account Manager - Media, Entertainment, Games & Sports https://gag.gl/ot5Ifv

Apr 2026
LinkedInArtificial Intelligence

We’re hiring for several key roles and would love to welcome you to the team. At Qumulo, you’ll tackle real problems that matter—helping customers manage exabyte-scale data that powers AI breakthroughs, medical diagnostics, and award-winning films. You’ll join a team that is customer-obsessed, transparent by default, and ready to do the hard, right thing together. Check out these openings: ‣ Territory Account Manager - NYC https://gag.gl/XSDaIX ‣ Manager, Financial Operations & Analysis https://gag.gl/GmGjbC ‣ Pre-Sales Solutions Architect - PNW https://gag.gl/f45Ux9 ‣ M&E Pre-Sales Solutions Architect https://gag.gl/CoraxY ‣ Regional Sales Director, Central Region https://gag.gl/fYvPDT ‣ Strategic Account Manager - Media, Entertainment, Games & Sports https://gag.gl/ot5Ifv

Apr 2026
LinkedInRisk control

In a Cegal benchmark, Qumulo achieved up to 57% faster performance on Petrel workloads. For professionals in oil and gas, that figure has tangible downstream impact. Quicker subsurface modeling leads to better drilling decisions, tighter risk control, and stronger project economics. The hurdle is that subsurface data isn’t stored in a single location. It’s produced, kept, and used across edge sites, core data centers, and the cloud—often all at once, in formats that are hard to move or scale. Qumulo’s energy page explains how the platform manages that complexity, from upstream analysis to simulation workflows, at the scale energy teams actually operate at. https://gag.gl/M47T3W

Apr 2026
LinkedInRisk Management

In a Cegal benchmark, Qumulo achieved up to 57% faster performance on Petrel workloads. For professionals in oil and gas, that figure carries real downstream implications. Quicker subsurface modeling directly supports better drilling decisions, tighter risk management, and stronger project economics. The hurdle is that subsurface data isn’t stored in a single location. It’s generated, stored, and used across edge sites, core data centers, and the cloud—often all at once—in formats that are hard to move or scale. Qumulo’s energy page explains how the platform addresses this complexity, from upstream analysis to simulation workflows, at the scale energy teams operate. https://gag.gl/M47T3W

Apr 2026
LinkedIn

When you can’t simply add more hardware to fix the issue, the teams under the most pressure are the ones already racing against the clock. Editors, VFX artists, and colorists handling huge file workloads with zero room for delays. Qumulo has assembled an ebook about what it takes for storage to truly keep up with that level of production pressure. Take a look: https://gag.gl/2kFL9x

Apr 2026

About this data. Qumulo (qumulo.com). Department attribution is 60%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries