Technologies
Perimeter Security And Firewalls
Companies using Amazon Macie

Companies using Amazon Macie

Amazon Macie is a fully managed data security and privacy service that uses machine learning and pattern matching to discover, monitor, and protect sensitive data stored in AWS S3 buckets, offering automated sensitive data discovery, continuous monitoring, and detailed reporting.
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Companies using Amazon Macie

Technology
is any of
Amazon Macie Technology Logo/Icon
Amazon Macie
company
COUNTRY
Tech confidence score
REVENUE
# Tech JOB POSTINGS
Amazon Web Services (AWS)
United States Country Flag Icon
United States
-
10,354
Angi
United States Country Flag Icon
United States
$302.3M
84
Blackhawk Network
United States Country Flag Icon
United States
-
46
Capgemini Engineering
France Country Flag Icon
France
-
189
Cash App
United States Country Flag Icon
United States
$6B
356
Chenega Corporation
United States Country Flag Icon
United States
$927M
297
Flix
Germany Country Flag Icon
Germany
$550M
18
Fontainebleau Las Vegas
United States Country Flag Icon
United States
-
5
FullStack Labs
United States Country Flag Icon
United States
-
347
JW Player
United States Country Flag Icon
United States
$57.5M
61
Showing 10 of
616
results
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62

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616
companies actively hiring with
Amazon Macie
technology, including firmographic data,
9,157
developer profiles working on that technology, and direct contacts to engineering leaders within your target accounts.
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Amazon Macie Competitor Technologies

No. of companies use the technology
No items found.

Developers using Amazon Macie

NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Adi
Senior Python Developer
United States Country Flag Icon
United States
Amazon Company Logo
Amazon
3 years
Yaseen Abdel-rahman
Data Platform Engineer
France Country Flag Icon
France
Snowflake Company Logo
Snowflake
2 years
Don Mettica
Founding Engineer
United States Country Flag Icon
United States
SAP Company Logo
SAP
6 years
NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Romain Cauquil
Chief Technology Officer
France Country Flag Icon
France
Mozilla Company Logo
Mozilla
8 years
Baiyue Cao
Senior Data Engineer I
United States Country Flag Icon
United States
ConsumerAffairs Company Logo
ConsumerAffairs
6 years
Eliton Gadotti
VP Data Engineering
Germany Country Flag Icon
Germany
Belastingdienst Company Logo
Belastingdienst
8 years

Want access to the complete developers list?

Unlock the full contact information of
9,157
developers actively working with
Amazon Macie
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 Amazon Macie?

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 Amazon Macie

How to build your target account list?

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

Amazon Macie

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
Amazon Macie

database for direct practitioner and buyer intelligence.

How to get alerted when new companies adopt Amazon Macie technology?

Set up automated alerts to capture companies as they adopt

Amazon Macie

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

Amazon Macie

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

Amazon Macie

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

Amazon Macie

with broader business value propositions and multi-threading strategies.

Frequently Asked Questions (FAQ)

What is Amazon Macie?

Amazon Macie is a cutting-edge technology that falls under the category of Data Security and Privacy Services. It is a fully managed service designed by Amazon Web Services (AWS) that uses machine learning and pattern matching techniques to discover, classify, and protect sensitive data stored in Amazon Simple Storage Service (S3) buckets. Launched in 2017 and significantly enhanced in 2020, Macie automates the discovery of sensitive data at scale, addressing the growing challenges organizations face in protecting personally identifiable information (PII), intellectual property, and compliance-related data.

Technically, Macie works by analyzing S3 objects using a combination of content analysis and machine learning models to identify sensitive data patterns. The service maintains a comprehensive library of data identifiers that recognize over 100 unique types of sensitive data, including financial information, personal health information, and credentials. Macie's architecture integrates seamlessly with other AWS security services like AWS Security Hub and Amazon EventBridge, creating a robust security ecosystem. What makes Macie unique is its ability to perform continuous, automated evaluation of data security posture while providing detailed findings through customizable dashboards and reports, allowing organizations to quickly respond to potential data security risks.

In terms of market adoption, Macie has become increasingly popular among organizations with strict regulatory compliance requirements such as GDPR, HIPAA, and PCI DSS. Financial institutions, healthcare providers, and government agencies particularly value Macie's ability to maintain data privacy while providing comprehensive visibility into sensitive data exposure. As data privacy regulations continue to evolve globally, Amazon Macie's role in automated data protection is expected to become even more critical, with AWS regularly enhancing its capabilities to address emerging security challenges.

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 Amazon Macie?

Some of the companies that use Amazon Macie include Amazon Web Services (AWS), Angi, Blackhawk Network, Capgemini Engineering, Cash App, Chenega Corporation, Flix, Fontainebleau Las Vegas, FullStack Labs, JW Player, and many more. You can find a complete list of 616 companies that use Amazon Macie on Reo.Dev.

Who uses Amazon Macie? Which industries use Amazon Macie?

Amazon Macie is used by a diverse range of organizations across various industries, including "Financial Services", "Healthcare and Life Sciences", "Government and Public Sector", "Retail and E-commerce", "Technology", and "Insurance". For a comprehensive list of all industries utilizing Amazon Macie, please visit Reo.Dev.

How many customers does

Amazon Macie
have?
As of now, we have data on
616
companies that use
Amazon Macie
.

Where is Amazon Macie adoption highest worldwide? In which countries Amazon Macie is used the most?

According to usage insights, Amazon Macie sees the strongest adoption across several major tech hubs. United States leads with 312 companies using it, followed by United Kingdom (46) and India (16).Other regions with significant Amazon Macie usage include Canada (13), France (9), Germany (4), and Netherlands (2).Overall, Amazon Macie enjoys widespread implementation globally, powering applications across diverse industries and regions.

How to find companies that use

Amazon Macie
?

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

Amazon Macie
?

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.