Technologies
Artificial Intelligence
Developers using DeepMind

Developers using DeepMind

DeepMind is an artificial intelligence research laboratory that specializes in developing advanced AI systems and algorithms, focusing on deep learning, reinforcement learning, and neural networks to solve complex scientific and computational problems.
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Developers using DeepMind

NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Pranav Shyam
Research Scientist
United States Country Flag Icon
United States
Google Company Logo
Google
5 years
Steven Cox
Founding Engineer
United States Country Flag Icon
United States
Sphera Company Logo
Sphera
21 years
Peter Lisy
Senior Software Development Engineer
United States Country Flag Icon
United States
Accenture Company Logo
Accenture
12 years
Derek Hannah
Founding Engineer
United States Country Flag Icon
United States
adidas Company Logo
adidas
16 years
Joey Lange
Engineering
United States Country Flag Icon
United States
Capgemini Company Logo
Capgemini
12 years
Navita Mittal
Data Science Manager
United States Country Flag Icon
United States
PwC Company Logo
PwC
11 years
Samani Gikandi
DevOps Engineer
United Kingdom Country Flag Icon
United Kingdom
Capital One Company Logo
Capital One
3 years
Bin Yi
Cloud-Native Software Engineer
United States Country Flag Icon
United States
Google Company Logo
Google
20 years
Anky S
Python AWS Developer
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United States
Amazon Web Services Company Logo
Amazon Web Services
4 years
Kevin L
Software Engineer
United States Country Flag Icon
United States
Ford Motor Company Company Logo
Ford Motor Company
2 years
Showing 10 of
6,551
results
Page 1 of
656
NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Nishanth Reddy
Senior Java Developer
United States Country Flag Icon
United States
Udemy Company Logo
Udemy
9 years
Jungtae Kim
Senior Software Development Engineer
United States Country Flag Icon
United States
Backblaze Company Logo
Backblaze
13 years
Evan Summers
VP Cybersecurity
United States Country Flag Icon
United States
Bayer Company Logo
Bayer
5 years
Ayush Tiwari
Head of DevOps
France Country Flag Icon
France
Onix Company Logo
Onix
3 years
Martin Bartlett
Chief Cloud Engineer
France Country Flag Icon
France
PingCAP Company Logo
PingCAP
5 years
Ethan Brown
Senior Data Engineer
United States Country Flag Icon
United States
Airswift Company Logo
Airswift
7 years
Kaveet Laxmidas
VP Engineering
United States Country Flag Icon
United States
Reinhart Company Logo
Reinhart
9 years
Gunjan Gupta
Senior Devops Engineer
India Country Flag Icon
India
Amazon Web Services (AWS) Company Logo
Amazon Web Services (AWS)
11 years
Dusan Malusev
Senior Software Engineer
Germany Country Flag Icon
Germany
IBM Company Logo
IBM
3 years
Charles Deveas
Engineering Manager
United States Country Flag Icon
United States
Quantum Metric Company Logo
Quantum Metric
15 years
Showing 10 of
6,551
results
Page 1 of
656

Want access to the complete contacts list?

Unlock the full contact information of
6,551
developers actively working with
DeepMind
technology, including economic buyers data for each account, complete with verified contact information, role tenure, company context, and adoption signals.
Book a Demo

What would you like to do with developer-level contact data that are users of DeepMind?

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 DeepMind

How to build your target account list?

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

DeepMind

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.

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

Set up automated alerts to capture companies as they adopt

DeepMind

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

DeepMind

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

DeepMind

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

DeepMind

with broader business value propositions and multi-threading strategies.

Frequently Asked Questions (FAQ)

What is DeepMind?

DeepMind is a cutting-edge technology that falls under the category of Artificial Intelligence Research. Founded in 2010 and acquired by Google (now Alphabet) in 2014, DeepMind has established itself as a pioneer in developing sophisticated AI systems that can learn and adapt without explicit programming. The company's mission centers on solving intelligence to advance science and benefit humanity through AI research and applications.

At its core, DeepMind employs a combination of deep learning and reinforcement learning techniques to create AI systems capable of mastering complex tasks. Their technical approach involves building neural networks that mimic human brain function, allowing systems to learn from experience rather than following pre-programmed rules. DeepMind's architecture typically combines:

  • Multi-layered neural networks for pattern recognition
  • Reinforcement learning algorithms that optimize decision-making through reward signals
  • Transfer learning capabilities that allow knowledge to be applied across different domains

What makes DeepMind unique is its focus on developing general-purpose learning algorithms rather than narrow, task-specific AI.

DeepMind has achieved remarkable breakthroughs, including the development of AlphaGo, which defeated world champions at the complex game of Go, and AlphaFold, which revolutionized protein structure prediction in biology. The company continues to expand its research into healthcare, energy optimization, and fundamental scientific problems. As AI capabilities advance, DeepMind's technologies are increasingly being integrated into real-world applications, though the organization maintains a strong emphasis on ethical AI development and addressing potential risks associated with advanced artificial intelligence systems.

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

DeepMind
?
As of now, we have data on
6,551
developers that use
DeepMind
.

How to find developers that use

DeepMind
?

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

DeepMind
?

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.