Technologies
Business Intelligence (BI)
Developers using Sigma Computing

Developers using Sigma Computing

Sigma Computing is a cloud-based analytics and business intelligence platform that enables business users to analyze data directly from cloud data warehouses without coding, featuring intuitive spreadsheet-like interface, real-time data exploration, and collaborative dashboards.
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Developers using Sigma Computing

NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Noah Stier
Senior Autopilot Machine Learning Engineer
Australia Country Flag Icon
Australia
PwC Company Logo
PwC
7 years
Naveen Gajja
Lead Big Data Engineer
United States Country Flag Icon
United States
Effectual Company Logo
Effectual
18 years
Raikav Patel
Senior Associate
United States Country Flag Icon
United States
Pearson Company Logo
Pearson
6 years
Elizabeth Carretto
Senior Software Engineer - UI
France Country Flag Icon
France
Salesforce Company Logo
Salesforce
9 years
Garret Wilson
Backend Systems Engineer
United States Country Flag Icon
United States
AT&T Company Logo
AT&T
15 years
Benjamin Greenberg
Senior Software Developer
United Kingdom Country Flag Icon
United Kingdom
Google Company Logo
Google
13 years
Carl Dea
Lead Software Developer
United States Country Flag Icon
United States
Ericsson Company Logo
Ericsson
26 years
Zhuocheng Lin
Software Engineer
United States Country Flag Icon
United States
Google Company Logo
Google
1 year
Kenny Scharm
Software Engineer II
United Kingdom Country Flag Icon
United Kingdom
Infosys Company Logo
Infosys
4 years
Eduardo Patrocinio
Principal Solutions Architect
United Kingdom Country Flag Icon
United Kingdom
Salesforce Company Logo
Salesforce
21 years
Showing 10 of
7,813
results
Page 1 of
782
NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Matthew Gialelis
Sr Cloud Infrastructure Engineer
United Kingdom Country Flag Icon
United Kingdom
SAA Verzekeringen Company Logo
SAA Verzekeringen
12 years
Henry Finucane
Staff SRE
United States Country Flag Icon
United States
Dartmouth Health Company Logo
Dartmouth Health
4 years
Blesson Roy
Chief Software Engineer
India Country Flag Icon
India
Cantina Labs Company Logo
Cantina Labs
7 years
David Cruz
Principal Consulting Engineer
United States Country Flag Icon
United States
Infosys Company Logo
Infosys
18 years
Tim Bennett
Lead Site Reliability Engineer
United Kingdom Country Flag Icon
United Kingdom
Ford Motor Company Company Logo
Ford Motor Company
6 years
Hassane Moustapha
Senior Consultant - Data Engineer
France Country Flag Icon
France
Miratech Company Logo
Miratech
6 years
Siva Guruvareddiar
Senior Strategic Solutions Architect
United States Country Flag Icon
United States
Google Company Logo
Google
10 years
Travis snɯǝᗡɔW
Chief Cloud Architect
United States Country Flag Icon
United States
Cloudflare Company Logo
Cloudflare
3 years
Gunjan Gupta
Senior Devops Engineer
India Country Flag Icon
India
Amazon Web Services (AWS) Company Logo
Amazon Web Services (AWS)
11 years
Marc Bollinger
Director Of Engineering
United States Country Flag Icon
United States
The Judge Group Company Logo
The Judge Group
17 years
Showing 10 of
7,813
results
Page 1 of
782

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7,813
developers actively working with
Sigma Computing
technology, including economic buyers data for each account, complete with verified contact information, role tenure, company context, and adoption signals.
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View Companies

Companies using Sigma Computing

Technology
is any of
Sigma Computing Technology Logo/Icon
Sigma Computing
company
COUNTRY
Tech confidence score
REVENUE
# Tech JOB POSTINGS
Birlasoft
India Country Flag Icon
India
-
32
Centrum Wiskunde & Informatica
Netherlands Country Flag Icon
Netherlands
-
4
Clear Street
United States Country Flag Icon
United States
$5M
14
Fictiv
United States Country Flag Icon
United States
$13.5M
9

Want access to the complete company list?

Unlock the full database of
343
companies actively hiring with
Sigma Computing
technology, including firmographic data,
7,813
developer profiles working on that technology, and direct contacts to engineering leaders within your target accounts.
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What would you like to do with developer-level contact data that are users of Sigma Computing?

Build my target developer list or assign economic buyers leads 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 developers using Sigma Computing

How to build your target account list?

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

Sigma Computing

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

Companies using

database for direct practitioner and buyer intelligence.

How to get alerted when new developers are working on Sigma Computing technology?

Set up automated alerts to capture companies as they adopt

Sigma Computing

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

Sigma Computing

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

Sigma Computing

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

Sigma Computing

with broader business value propositions and multi-threading strategies.

Frequently Asked Questions (FAQ)

What is Sigma Computing?

Sigma Computing is a cutting-edge technology that falls under the category of Business Intelligence and Analytics Software. It represents a modern approach to data analytics by providing a cloud-native platform that connects directly to cloud data warehouses, allowing business users to explore and analyze massive datasets without requiring SQL knowledge or coding skills. Founded in 2014 by Rob Woollen and Jason Frantz, former Splunk and Google executives, Sigma Computing was designed to bridge the gap between business teams and data teams by democratizing access to data analysis capabilities.

Technically, Sigma Computing operates with a spreadsheet-like interface that sits on top of cloud data warehouses like Snowflake, Amazon Redshift, and Google BigQuery. This architecture enables users to work with live data rather than extracts or summaries, ensuring analyses are always based on the most current information. What makes Sigma unique is its ability to translate familiar spreadsheet functions and operations into optimized SQL queries that execute directly in the data warehouse, leveraging the full computational power of modern cloud infrastructure. The platform supports unlimited data scale while maintaining performance through features like:

  • Visual modeling layer that abstracts complex data relationships
  • Collaborative workbooks that allow multiple users to analyze simultaneously
  • Embedded analytics capabilities for sharing insights externally
  • Governed data access with row/column level security

In the market, Sigma Computing has gained significant adoption among data-driven organizations seeking to eliminate analytics bottlenecks. The platform is particularly valued in industries where rapid data-based decision making provides competitive advantage. As organizations continue to migrate data infrastructure to the cloud, Sigma's approach of bringing familiar spreadsheet functionality to cloud data warehouses positions it well for continued growth, especially among companies looking to foster data literacy and self-service analytics capabilities across their workforce.

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.

How many developers use

Sigma Computing
?
As of now, we have data on
7,813
developers that use
Sigma Computing
.

How to find developers that use

Sigma Computing
?

Visit reo.dev and use Reo.Dev's audience builder to search for developers 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 developers that use

Sigma Computing
?

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 developers & organizations are actively using the technologies in their tech stack/developer profile. Simply search for your desired technology within our audience builder to generate a targeted list of developers—complete with their current company, seniority, years of experience, and tech stack intelligence at an account level. Book a demo with us today to get access to the latest data.