Technologies
Data Management Platform (DMP)
Companies using Monte Carlo

Companies using Monte Carlo

Monte Carlo is a data observability platform that helps organizations monitor and improve data quality, detect anomalies, and prevent data pipeline failures through machine learning-powered analytics, automated monitoring, and end-to-end lineage tracking.
Signals Header Bg Pattern - Decorative

Companies using Monte Carlo

Technology
is any of
Monte Carlo Technology Logo/Icon
Monte Carlo
company
COUNTRY
Tech confidence score
REVENUE
# Tech JOB POSTINGS
Actalent
United States Country Flag Icon
United States
-
19,081
Afterpay
Australia Country Flag Icon
Australia
$696.3M
2,808
Assystem
France Country Flag Icon
France
$526.8M
249
Carvana
United States Country Flag Icon
United States
$11.1B
500
ClearanceJobs
United States Country Flag Icon
United States
-
4,782
DeepOcean
Norway Country Flag Icon
Norway
$458.8M
15,101
Dice
United States Country Flag Icon
United States
-
203,756
United Kingdom Country Flag Icon
United Kingdom
$45.4B
199,680
Groupe PLG
France Country Flag Icon
France
-
1,692
join.com
Germany Country Flag Icon
Germany
-
1,227
Showing 10 of
6,450
results
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645

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Unlock the full database of
6,450
companies actively hiring with
Monte Carlo
technology, including firmographic data,
15,414
developer profiles working on that technology, and direct contacts to engineering leaders within your target accounts.
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Monte Carlo Complimentary Technologies

No. of companies use the technology

Developers using Monte Carlo

NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Aryan Naraghi
Staff Software Engineer
United Kingdom Country Flag Icon
United Kingdom
Google Company Logo
Google
12 years
Mitch Robins
Consultant
United States Country Flag Icon
United States
American Express Company Logo
American Express
4 years
Pavel Surmenok
Senior Machine Learning Engineer, Autopilot
United States Country Flag Icon
United States
Mazars Company Logo
Mazars
10 years
NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Will Rubel
Lead DevOps SecOps Cloud Engineer
United States Country Flag Icon
United States
Delivery Hero Company Logo
Delivery Hero
9 years
Pierre Jeannet
Lead Cloud Architect
France Country Flag Icon
France
Gamma Company Logo
Gamma
2 years
Ethan Brown
Senior Data Engineer
United States Country Flag Icon
United States
Airswift Company Logo
Airswift
7 years

Want access to the complete developers list?

Unlock the full contact information of
15,414
developers actively working with
Monte Carlo
technology, including economic buyers data for each account, complete with verified contact information, role tenure, company context, and adoption signals.
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What would you like to do with company-level technographics data that are using Monte Carlo?

Build my TAM account list or assign accounts to my sales team

Transform your desired technology user data into actionable sales territories by combining firmographic ICP criteria with real-time technology adoption signals. Traditional account assignment based solely on company size and industry leaves money on the table—successful DevTool sales teams prioritize accounts showing active technology expansion signals.

Strategic account prioritization framework

Building an effective Total Addressable Market (TAM) requires more than basic firmographic filters. Companies using your desired technology represent varying levels of buying intent depending on their implementation stage, team growth, and technology stack evolution. Learn our complete framework for building DevTool ICP account lists to establish the foundation for strategic account segmentation.

Confluent ICP scoring example illustrating core, broader, and relevant universe tiers based on Kafka adoption and data streaming scale

Standard ICP criteria—geography, industry, company size, revenue—only provide baseline qualification. High-performing sales teams layer technology hiring signals on top of firmographic data to identify accounts actively expanding their technical capabilities. Companies hiring  for your desired technology engineers or architects signal active investment in the technology stack, indicating higher purchase intent and budget availability.

In-market account identification and assignment

Priority account assignment should factor in recent technology hiring patterns as a proxy for market timing. Companies posting jobs for Redis engineers, Kubernetes specialists, or React developers demonstrate active technology expansion—making them significantly more likely to evaluate complementary tools within 90 days.

Our LinkedIn outreach playbook details the specific process for identifying and assigning these in-market accounts to sales teams. This approach increases meeting acceptance rates by 40% compared to generic outbound because prospects are already in active buying mode.

Territory assignment best practices

Tier 1 accounts: Companies using your desired technology with recent hiring activity for related roles. These accounts get immediate sales attention with personalized outreach referencing their specific technology initiatives and hiring needs.

Tier 2 accounts: Established desired technology users without recent hiring signals but strong firmographic fit. Assign these accounts for longer-term nurture campaigns and quarterly check-ins to monitor technology expansion signals.

Tier 3 accounts: Companies using your desired technology with weaker ICP fit or unclear expansion signals. Route these accounts to inside sales or marketing-qualified lead campaigns until stronger buying signals emerge.

Refresh account assignments monthly based on new hiring signals and technology adoption data. Companies can move between tiers quickly as their technology needs evolve, and sales territories should reflect these dynamic market conditions rather than static demographic assignments.

The combination of your desired technology usage data and hiring intelligence creates a predictive framework for sales success, ensuring your team focuses energy on accounts most likely to convert within the current quarter.

Learn more

Run marketing Campaigns

Leverage your desired technology user data to create targeted campaigns across three distinct audience levels: companies, developers (practitioners), and economic buyers. Each audience type requires different messaging, channels, and campaign strategies to maximize conversion rates.

Multi-level audience targeting

Companies: Target organizations using your technology of choice for account-based marketing approaches. Focus on company-level signals, firmographics, and technology stack intelligence to build high-intent prospect lists.

Developers (contacts): Reach practitioners who directly implement and use chosen technology. These technical decision-makers influence tool adoption and can become internal champions for your solution.

Economic Buyers (contacts): Target executives and budget holders at companies using your desired technology. While they may not use the technology directly, they control purchasing decisions and strategic technology investments.

Campaign strategies by audience type

ABM Google/LinkedIn Ads to your TOFU audience: Run account-based display campaigns targeting companies using containerization technologies like Docker or Kubernetes. Create awareness-stage content about DevOps optimization, infrastructure costs, or developer productivity to capture early-stage interest from decision-makers.

Invite developers to topical webinars: Host technical webinars for Redis users about database optimization, caching strategies, or microservices architecture. Developers using Redis are likely interested in performance engineering topics that showcase your platform's capabilities in a educational, non-sales context. Leading DevTools like Galileo and Camunda use this strategy effectively—see how they leverage expert-led sessions to grow their TOFU audience by educating and nurturing developer communities around emerging technologies.

LinkedIn outbound campaigns to developers or economic buyers: Execute targeted LinkedIn outreach to practitioners and buyers at companies using complementary technologies. See how Kubegrade leveraged Kubernetes user data to run successful LinkedIn and email campaigns, or follow our proven LinkedIn outreach playbook that helped Unstructured book meetings with economic buyers.

Competitor email campaigns based on competitor technology: Target companies using competing solutions like MongoDB (if you're in the database space) or Elasticsearch (for search solutions). Craft messaging around migration benefits, performance comparisons, or feature gaps that position your solution as the superior alternative.

Complimentary technology campaigns: Run campaigns to companies using GraphQL (if you provide API tools) or React (for frontend development solutions). Focus messaging on how your product enhances their existing technology investments rather than replacing them—creating additive value propositions.

Technical content nurture campaigns to developers: Send regular technical newsletters to PostgreSQL users featuring database optimization tips, query performance guides, or architectural best practices. This builds relationship equity with practitioners who influence purchasing decisions while demonstrating your platform's technical depth.

Campaign execution framework

Each campaign type works best when aligned with the prospect's technology maturity and buying stage. Companies actively expanding their technology usage often have budget allocated for complementary solutions, making them higher-intent prospects than those just beginning adoption.

Combine multiple campaign types for maximum impact: start with educational content to developers, then retarget engaged prospects with ABM campaigns to economic buyers at the same companies. This multi-touch approach increases conversion rates while building relationships across the entire buying committee.

Learn more

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How to target companies using Monte Carlo

How to build your target account list?

Start by building your Ideal Customer Profile (ICP) universe using technology signals as a foundation. Companies using

Monte Carlo

often share similar technical maturity and infrastructure needs, making them prime candidates for developer-focused solutions. Learn our complete framework for building DevTool ICP account lists to maximize your targeting precision.

Customize this data by filtering for geography, industry, company size, revenue, technology usage, job positions and more. Our platform provides technology intelligence at both company and individual levels—categorized into developers/practitioners and economic buyers within those organizations. This dual-layer approach enables precise targeting whether you're running ABM campaigns at the account level or personalized outreach to specific contacts.

Download your refined lists in Excel or CSV format, sync directly to your CRM (HubSpot, Salesforce), or use our APIs to send data to your warehouse. For individual-level targeting, explore our

developers using
Monte Carlo

database for direct practitioner and buyer intelligence.

How to get alerted when new companies adopt Monte Carlo technology?

Set up automated alerts to capture companies as they adopt

Monte Carlo

in real-time.

This gives your sales team first-mover advantage when prospects are actively evaluating and implementing new solutions—the optimal time for outreach.

Configure alerts based on your specific ICP criteria: get notified when companies in your target geography, industry, or size range start using your target technology. Alerts are delivered directly to your inbox with complete company and contact intelligence, enabling immediate, contextual outreach while the technology adoption signal is fresh.

How to sync this data with my CRM or sales stack?

Export technology user data seamlessly into your existing sales and marketing infrastructure. Direct CRM integrations with HubSpot and Salesforce automatically sync company and contact records with technology intelligence, enriching your existing database.

Use our API endpoints to send

Monte Carlo

user data directly to your data warehouse, enabling advanced segmentation and analytics across your entire revenue stack. This approach works particularly well for companies running sophisticated ABM programs or complex lead scoring models.

The targeting strategy differs significantly between contact-level outreach and account-based campaigns. For individual targeting, focus on practitioners who directly use

Monte Carlo

with personalized technical messaging. For ABM approaches, target economic buyers at companies using

Monte Carlo

with broader business value propositions and multi-threading strategies.

Frequently Asked Questions (FAQ)

What is Monte Carlo?

Monte Carlo is a cutting-edge technology that falls under the category of Data Observability Platforms. It serves as an automated monitoring and alerting system designed to help data teams ensure the reliability and trustworthiness of their data. Founded in 2019 by Barr Moses, Lior Gavish, and Ryan Kearny, Monte Carlo addresses the critical challenge of data downtime—periods when data is missing, inaccurate, or otherwise erroneous—which costs organizations millions in lost revenue and productivity.

Technically, Monte Carlo operates by creating an end-to-end view of an organization's data ecosystem. It connects to data warehouses, data lakes, ETL tools, and business intelligence platforms to automatically monitor data quality without requiring manual setup of rules or thresholds. The platform leverages machine learning algorithms to establish baseline metrics for data assets and detect anomalies when data deviates from expected patterns. Its architecture includes collectors that gather metadata, a central intelligence engine that analyzes patterns, and an alerting system that notifies teams of issues. Monte Carlo's unique Field-Level Lineage capability tracks data transformations at the column level, enabling precise root cause analysis when problems occur.

In terms of market adoption, Monte Carlo has gained significant traction among data-driven enterprises seeking to implement data observability as a core component of their data strategy. The platform is particularly valuable for organizations with complex data ecosystems spanning multiple sources and destinations. As data quality becomes increasingly critical to business operations and AI initiatives, Monte Carlo's approach to automated monitoring positions it as an essential infrastructure layer for modern data stacks, helping companies move from reactive firefighting to proactive data quality management.

What is the source of this data?

We aggregate developer & company technographics intelligence from multiple proprietary and partner sources. Our platform monitors job postings across millions of companies—tracking listings on career sites, job boards, and recruitment platforms to identify technology adoption patterns and internal tool usage. This hiring signal data reveals what technologies organizations are actively investing in.

Beyond job data, Reo.Dev maintains a proprietary database of 30+ million developers and tracks activity across public GitHub repositories to capture real-time technology usage signals.

We supplement this with GDPR-compliant datasets from trusted data broker partners and visitor intelligence platforms, creating a comprehensive view of both company-level tech stacks and individual developer behaviors.

This multi-source approach ensures you're working with the most accurate, up-to-date company technographics & developer intelligence available.

How often is the data updated?

Our platform refreshes data daily, giving you access to the latest developer and technology intelligence. This continuous update cycle ensures your go-to-market teams are working with current information that reflects real-time market movements, emerging technology adoption patterns, and fresh hiring signals from across the industry.

What companies use Monte Carlo?

Some of the companies that use Monte Carlo include Actalent, Afterpay, Assystem, Carvana, ClearanceJobs, DeepOcean, Dice, EY, Groupe PLG, join.com, and many more. You can find a complete list of 6,450 companies that use Monte Carlo on Reo.Dev.

Who uses Monte Carlo? Which industries use Monte Carlo?

Monte Carlo is used by a diverse range of organizations across various industries, including "Financial Services", "Healthcare and Life Sciences", "E-commerce", "Technology and SaaS", "Media and Entertainment", and "Manufacturing". For a comprehensive list of all industries utilizing Monte Carlo, please visit Reo.Dev.

How many customers does

Monte Carlo
have?
As of now, we have data on
6,450
companies that use
Monte Carlo
.

Where is Monte Carlo adoption highest worldwide? In which countries Monte Carlo is used the most?

According to usage insights, Monte Carlo sees the strongest adoption across several major tech hubs. United States leads with 2,294 companies using it, followed by United Kingdom (554) and France (262).Other regions with significant Monte Carlo usage include Canada (205), Germany (160), Netherlands (120), and India (112).Overall, Monte Carlo enjoys widespread implementation globally, powering applications across diverse industries and regions.

How to find companies that use

Monte Carlo
?

Visit reo.dev and use Reo.Dev's audience builder to search for companies using your desired technology—our platform analyzes job postings, GitHub repositories, and proprietary developer data to identify the  technology stack for any given organization. Book a demo with us today to get started.

How to get an updated list of companies that use

Monte Carlo
?

Reo.Dev provides real-time access to companies using your desired technology of choice and thousands of other developer technologies. Our platform continuously tracks technology adoption signals from job postings, GitHub activity, and proprietary developer data to give you the most current view of which organizations are actively using the technologies in their tech stack. Simply search for your desired technology within our audience builder to generate a targeted list of companies—complete with firmographic data, hiring signals, and tech stack intelligence. Book a demo with us today to get access to the latest data.