Zeer Monte Carlo / intent / monte-carlo
Talk to us

Monte Carlo

51-200 employees·San Francisco, California, United States·montecarlodata.com

Observed, not inferred · updated weekly

Buying intent

107 tracked signals | Top 15 topics are below | Sales and Engineering are carrying most of it.

77signals · 30 days
44topics tracked
74.51%attributed to a team

Attention by team

LinkedIn activity, by team

Where Monte Carlo'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
Monte Carlo
Data Analytics
Observability
Agentic AI System
Real-Time Data
Sales
High39% of team Sales to Artificial Intelligence: High, 39% of this team's signals
Medium19% of team Sales to Monte Carlo: Medium, 19% of this team's signals
Medium16% of team Sales to Data Analytics: Medium, 16% of this team's signals
Low10% of team Sales to Observability: Low, 10% of this team's signals
Low10% of team Sales to Agentic AI System: Low, 10% of this team's signals
Low6% of team Sales to Real-Time Data: Low, 6% of this team's signals
Engineering
Low50% of team Engineering to Artificial Intelligence: Low, 50% of this team's signals
Low17% of team Engineering to Monte Carlo: Low, 17% of this team's signals
Low17% of team Engineering to Data Analytics: Low, 17% of this team's signals
Low17% of team Engineering to Observability: Low, 17% of this team's signals
Engineering to Agentic AI System: no signal
Engineering to Real-Time Data: no signal
Operations
Low100% of team Operations to Artificial Intelligence: Low, 100% of this team's signals
Operations to Monte Carlo: no signal
Operations to Data Analytics: no signal
Operations to Observability: no signal
Operations to Agentic AI System: no signal
Operations to Real-Time Data: no signal
Others
Medium54% of team Others to Artificial Intelligence: Medium, 54% of this team's signals
Low23% of team Others to Monte Carlo: Low, 23% of this team's signals
Low8% of team Others to Data Analytics: Low, 8% of this team's signals
Others to Observability: no signal
Low8% of team Others to Agentic AI System: Low, 8% of this team's signals
Low8% of team Others to Real-Time Data: Low, 8% 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
95%
last
4d ago
Monte Carlo
LinkedIn
Medium volume
98%
last
9d ago
Data Analytics
LinkedIn
Low volume
96%
last
9d ago
Observability
LinkedIn
Low volume
98%
last
9d ago
Agentic AI System
LinkedIn
Low volume
98%
last
17d ago
Real-Time Data
LinkedIn
Low volume
98%
last
26d ago
Employee Experience
LinkedIn
Low volume
96%
last
28d ago
Financial Services
LinkedIn
Low volume
98%
last
26d ago
Landing Pages
LinkedIn
Low volume
98%
last
28d ago
Shop Pay
LinkedIn
Low volume
98%
last
26d ago
Financial crime
LinkedIn
Low volume
98%
last
26d ago
Cloud Computing
LinkedIn
Low volume
98%
last
26d ago
Dbt
LinkedIn
Low volume
92%
last
12d ago
Financial Risk
LinkedIn
Low volume
96%
last
26d ago
Hiring
LinkedIn
Low volume
95%
last
10d ago

Need intent for a specific topic or industry?

We track the full taxonomy across every account in the graph — including themes not shown on this page.

Talk to us

Who's active at Monte Carlo

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.

Others8 active
Partnerships Lead
Senior ICresearching Artificial Intelligence
in
Senior Enterprise Architect
Senior ICresearching Data transformation
in
Account Executive
researching Artificial Intelligence
in
Chief Operating Officer
Executiveresearching Monte Carlo
in
Culture Programming & Events Manager
Senior ICresearching Sustainable Energy
in
Strategic Sales Engineer
researching Artificial Intelligence
in
Sales Development Representative
researching Event Networking and Matchmaking
in
Chief Software Architect
researching Monte Carlo
in
Sales7 active
strategic account executive
researching Monte Carlo
in
Sales Engineering Manager - NA East & EMEA
Senior ICresearching Artificial Intelligence
in
strategic account executive
researching Artificial Intelligence
in
VP of GTM AI Transformation (SDR, rev ops, and enablement)
Directorresearching Sustainability
in
Enterprise Account Executive
researching Cloud Computing
in
Strategic Sales Engineer
researching Artificial Intelligence
in
sales development representative
researching Sales Development
in
+ 5 more in Sales
Engineering3 active
strategic solutions engineer
researching Data Analytics
in
Data Engineer
researching Landing Pages
in
senior data scientist
researching Artificial Intelligence
in
+ 3 more in Engineering
Marketing1 active
Head of Demand Generation
Directorresearching Performance Marketing
in
+ 1 more in Marketing
Operations1 active
Global Head of Culture & People Ops
Directorresearching Employee Experience
in
+ 1 more in Operations

See everyone, not just the first 10

20 people across every department at Monte Carlo, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human-guided agents to fully autonomous operations. Founded in 20

New capability sought

Employee posts (LinkedIn)

Employee Experience; Financial Risk; Financial Services; Financial crime; Landing Pages; Observability; Real-Time Data; Shop Pay

Top accounts researching Monte Carlo

names withheld on the public page

These are companies whose own people brought up Monte Carlo 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.

  • Account withheldAon5 contacts
  • Account withheldAXA XL3 contacts
  • Account withheldFitch Ratings2 contacts
  • Account withheldAmazon1 contacts
  • Account withheldSerra Verde Group1 contacts
  • Account withheldOliver Wyman1 contacts
  • Account withheldMonte Carlo1 contacts
  • Account withheldSAS1 contacts
  • Account withheldKPMG1 contacts
  • Account withheldPioneer Association of the State of Washington1 contacts
  • Account withheldUniversidad Regional Amazónica Ikiam1 contacts
  • Account withheldThe Insiders Fund1 contacts
  • Account withheldRoche1 contacts
  • Account withheldUtrecht University1 contacts
  • Account withheldUniversity of Sydney1 contacts

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 Monte Carlo.

Company size breakdown
Buyer seniority mix

Companies researching Monte Carlo

by employee count
  • 1,001-5,000 employees17 cos · 17 contacts
  • 1-10 employees16 cos · 16 contacts
  • 11-50 employees8 cos · 8 contacts
  • 5,000+ employees7 cos · 11 contacts
  • 51-200 employees5 cos · 5 contacts
  • 501-1,000 employees4 cos · 4 contacts
  • 201-500 employees3 cos · 3 contacts
  • Other / legacy bucket1 cos · contacts n/a

Who inside those companies

seniority, where on file
Director
16
Senior IC
14
Executive
10
Leadership
7
VP
1
~44 further brand-affiliated researchers have no seniority on file and are excluded from these bars.

Buying committee functions

Employee job titles (LinkedIn)

Engineering — 6 people; Sales — 5 people; Leadership — 1 person; HR / Talent — 1 person; Marketing — 1 person; Data / Analytics — 1 person

What's been said

public posts mentioning Monte Carlo

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

LinkedIn

Plot twist: the recruiter automated herself. Built an agent that goes from zero to full hiring process - JD, hiring plan, scorecards, sourced candidates, personalized outreach all in one shot. Recruiting got way easier. But that's not really the point. The point is what I can do with the time I got back. Less time formatting scorecards and copy-pasting templates. More time actually talking to candidates, understanding what they've built, and making calls that matter. Monte Carlo is going all-in on AI. Not just in the product, but in how we operate internally. The speed difference is hard to explain until you've seen it run. New open roles dropping soon👀 __________________________________________________________________ The architecture is in the image below if you're curious what's actually running under the hood. #AI #Recruiting #FutureOfWork #TalentAcquisition #RecruitingTech #AIAgents #HRTech #ClaudeAI #Automation

May 2026
LinkedInAzure Databricks

Databricks just announced Agent Bricks and Monte Carlo is a key integration partner — and the only observability provider in the ecosystem. The pattern we keep seeing: teams build a great agent demo, then hit a wall in production because the data layer isn't ready. Stale context, broken lineage, no visibility into what the agent actually consumed. The model works fine. The data doesn't. Excited about this one. #aiobservability #agentready #databricks

Apr 2026
LinkedInMonte Carlo

Personal Update: After an incredible two years at Monte Carlo, I've made the decision to join Hightouch as a Mid-Market AE! When I joined Monte Carlo, I was pivoting out of my career as a football coach and knew absolutely nothing about the tech world (emphasis on nothing). Luckily for me, I was joining a company that was comprised of incredible people who poured into my development and set me up for success. I can't display enough gratitude to everyone who made my two years there so special! Looking forward, I am incredibly excited to start this next chapter and be a part of what Hightouch is building as the leading Composable CDP and Agentic Marketing Platform!

Apr 2026

About this data. Monte Carlo (montecarlodata.com). Department attribution is 74.51%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries