All Agents
$4.00per 1k profiles30datapoints
LinkedIn Company Employees
List LinkedIn company employees — name, role, location, seniority — from a list of company URLs
Sample
Sample data
Here's a sample run for 10 employees of Google, showing the exact schema and results you can expect.
| # | Profile URL | First Name | Last Name | Headline | About | Photo | Cover Photo | City | State | Country | Followers | Connections | Verified | Premium | Influencer | Open To Work | Hiring | Experience | Education | Certifications | Projects | Courses | Publications | Volunteering | Received Recommendations | Skills | Patents | Honors And Awards | Languages | Causes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Hüsnü | A. | Google & Meta Ads Performans Koçu | Algoritma ve Sinyal Odaklı Optimizasyon | 300+ Hesap | Ölçeklenebilir ROAS Mimarisi | Full Funnel Kontrolü | Google Ads ve Meta Ads’i “kampanya yönetimi” olarak değil,
algoritma, sinyal ve öğrenme döngüsü problemi olarak ele alırım.
18 yılı aşkın süredir 300+ farklı reklam hesabında gördüğüm ortak gerçek şu:
Performans sorunlarının büyük kısmı bütçeden, kreatiften ya da platformdan değil;
yanlış sinyallerle eğitilmiş sistemlerden kaynaklanır.
Benim odağım:
Algoritmanın hesap hakkında nasıl düşündüğünü anlamak
Yanlış öğrenme döngülerini kırmak
Büyüme sırasında bozulan performansı kontrol edilebilir hale getirmek
Google ve Meta’da ROAS’ı bir sonuç değil, doğru kurulmuş bir mimarinin çıktısı olarak ele alırım.
Ajanslar, işletme sahipleri ve şirket içi performans ekipleriyle çalışırken;
günlük optimizasyonlara değil, hangi kararlara dokunulmaması gerektiğine odaklanırım.
Çünkü ölçeklenebilir performans, çoğu zaman daha fazla şey yaparak değil,
daha az ama doğru müdahaleyle gelir.
Nasıl çalışırım?
Hesapları algoritma ve sinyal perspektifinden denetlerim
Ölçeklenebilir ROAS için karar çerçevesi ve yol haritası oluştururum
Google ve Meta’yı ayrı ayrı değil, tek bir Full Funnel sistemi olarak ele alırım
Ne yapmam?
Eğitim, kurs veya workshop sunmam
Günlük kampanya yönetimi yapmam
“Hangi reklamı açalım?” seviyesinde çalışmam
Benim rolüm;
performansın sınırını belirleyen sistemi görmek, kurmak ve yönlendirmektir.
📌 Eğer hedefin:
Bütçe artınca bozulmayan performans
Tahmin edilebilir ve sürdürülebilir ROAS
Algoritmanın kontrolünü yeniden ele almak
ise, doğru yerdesin... | Istanbul | Istanbul | Turkey | 51 | 49 | true | false | false | false | false | — | — | — | — | — | — | — | — | — | |||||||
2 | Aspi | Siganporia | Engineering Director | As the Engineering Director of ML Performance and Developer Tools, Aspi oversees the entire ML computing systems development lifecycle. His responsibilities include co-designing ML accelerators with hardware teams and optimizing ML workloads after systems are deployed in production.
Aspi's team is dedicated to building ML computing platforms that empower ML engineers to develop industry-leading AI/ML applications with high model quality, while simultaneously enhancing performance and reducing the total cost of ownership (TCO) with each new chip generation.
Performance Optimization: This involves increasing throughput, reducing latency in training step time, and decreasing serving latency, all while maintaining excellent model quality.
Developer Tools: These tools are designed to boost engineering productivity by helping ML developers understand the execution of their ML model training workloads. This understanding enables them to optimize performance for increased throughput and lower latency. Power efficiency is also a crucial aspect of ML workloads. Observability services span from individual ML workload management to comprehensive datacenter and fleet management.
Before his current role, Aspi served as the Engineering Director for GCP Cloud Networking at Google. In this position, he led teams that built the virtual networking infrastructure and all essential networking functions from the ground up, making GCP a viable platform for enterprise businesses. Google Cloud is recognized as a vital and expanding segment of Google's operations.
Prior to his work on Cloud Networking, Aspi was responsible for teams that developed front-end serving systems. These systems provided a virtual global computing platform, offering unified query distribution, serving, load balancing, and DDoS protection. Aspi brings extensive experience in leading engineering teams to develop distributed infrastructure software systems, with a strong emphasis on reliability, scalability, and optimal performance. | — | Saratoga | California | United States | 1,770 | 1,734 | true | true | false | false | false | — | — | — | — | — | — | — | — | — | ||||||
3 | Adrian | Maharaj | Product | Partnerships | Platform Builder | I architect revenue systems that leverage ecosystem dynamics to drive exponential growth.
As Global Managing Director of Channel Partnerships at Google, I've transformed a traditional partner program into a multi-billion dollar revenue engine that powers Google's SMB strategy worldwide. My approach: partnerships aren't just about relationships they're about building scalable systems that generate predictable revenue without linear resource investment.
At Google, I own the P&L for our global channel business, leading teams across Americas, EMEA, and APAC. We don't just "manage partners", we've built an ecosystem architecture that enables technology platforms to seamlessly integrate Google's advertising products, reaching millions of SMBs we could never touch directly.
Prior to Google, I've built and scaled partnership ecosystems at Meta, Pinterest, Salesforce, and Slack, generating billions in revenue by designing systems where 1+1=11, not 2. From taking Onovo through Facebook acquisition to building Pinterest's shopping partnerships from zero to hero, I've consistently turned partnership functions from cost centers into profit centers.
My philosophy is simple: In the platform economy, the companies that win don't build everything they become the foundation others build upon. That's not partnership management. That's revenue architecture.
Currently advising SMBs and founders, helping them build the same partnership powered growth engines that drive success at scale.
Specialties: Platform economics, revenue architecture, ecosystem strategy, AI-powered go-to-market, partnership P&L optimization, network effects design, strategic negotiations, and transforming traditional businesses into platform businesses.
The future isn't about managing partnerships. It's about architecting ecosystems. And I'm building the blueprint. | — | San Francisco | California | United States | 15,142 | 3,438 | true | true | false | false | false | — | — | — | — | — | ||||||||||
4 | Shreyas | Sehgal | Senior Recruiting Specialist at Google | Currently a Talent Acquisition Specialist at Google India, dedicating efforts to identifying top-tier talent across various Product Areas. Focusing primarily on Go-to-Market (GTM) hiring, while maintaining a background in recruiting for software engineering and hardware roles, along with APAC-wide hiring for Sales, Marketing, and Product. Designing tailored sourcing strategies and leveraging data-driven insights to ensure the right talent is brought on board, while prioritizing precision, speed, and candidate experience. | — | Bengaluru | Karnataka | India | 79,369 | 29,916 | — | true | false | false | false | — | — | — | — | — | — | |||||||||
5 | Daniel J. | Li | Strategic Partnerships GTM Business Development | Tech Media Entertainment | Board Member, Advisor, Speaker | Ex-Google, TikTok, Deloitte Consulting | - Welcome -
Daniel is a Strategic Partnerships & Business Development Leader, Entertainment Media Executive, Innovative Brand Builder & Digital Marketing Expert, with 15+ years of international experience in
Entertainment, Media, Technology, Consulting, Fashion, Luxury, Retail, Advertising, Marketing, Sales.
As a public speaker, event moderator and award judge for various industry organizations (including ADCOLOR Conference & Awards, MMA POSSIBLE, Shorty Awards), he also dedicates time to social impact advocacy and community building for non-profit organizations such as Asians In Advertising, Out In Tech, NEWFEST, Human Rights Campaign, and more.
- Clients/Partners:
TikTok, Google, Youtube, Apple, Amazon, 20th Century Fox, Disney, WarnerMedia, HBO, VICE Media, Discovery, AMEX, MasterCard, Louis Vuitton/LVMH, Prada, Cartier, Bulgari, L’Oréal, Lancôme, Vogue, Neiman Marcus, Macy’s, ZARA, Peloton, Ritz-Carlton, Marriott, Coca-Cola, BMW, JetBlue, Deloitte, etc
- Languages: Chinese Mandarin, Cantonese, Fujianese/Taiwanese, English
- Contact: Daniel.JL0428@gmail.com | New York City | New York | United States | 7,936 | 7,202 | true | true | false | false | false | — | — | — | — | ||||||||||||
6 | Archy | Gupta | SWE III at Google | Tech, AI & Career creator | views = mine | 800K+ Followers | Speaker | Judge | Tech Creator | 2X Featured on Times Square | views = mine | Contact: workwitharchygupta@gmail.com | Hyderābād | Telangana | India | 800,639 | 29,963 | true | false | false | false | false | — | — | — | — | — | |||||||||||
7 | David | Levitch | Managing Director, AI GTM at Google Cloud | — | Evanston | Illinois | United States | 3,854 | 3,437 | true | false | false | false | false | — | — | — | — | — | — | — | — | — | |||||||
8 | Paolo | Privitera | Husband & Father, MIT MBA, 6X Exit, Resilient Serial Entrepreneur, Investor in 200+ companies and 20+ Funds, Raised $300M+, Taking Events.com to IPO, M&A, Corporate Development, Family Office/LP at 1521 Ventures 1521.vc | Paolo, proud husband and father, MIT MBA, is a Silicon Valley-based global entrepreneur and strategist with a passion for innovation and growth using the power of data, strategic analysis, creativity, and teamwork.
Born and raised in Venice Italy, he founded his first Internet company in 1994 when he was 16 years old.
Paolo has been a U.S. resident since 2002 and now also a US Citizen.
He has more than 30 years of experience in tech and internet-based businesses.
During this time, he has founded 6 companies, investor in more than 80, and advised hundreds, including being an LP in 7 funds.
He has raised more than $300M across startups and funds, from VCs, LPs, Angels, PEs and Growth Equity investors.
Paolo has received 10 career awards and 4 of the companies he founded had an exit.
The last company he was CEO and co-founder of Evensi, the world's largest events discovery and promotion network, with more than 200 million events, 60 million users, 10 million event organizers. The company initially approved for an IPO in Q2 2020, has been acquired by Events.com, now working with the CEO to take the company public at Nasdaq.
Paolo is also passionately involved with M&A activities and Corporate Development endeavors, helping companies to grow, fundraise and scale globally.
Paolo is also General Partner at ME Ventures and 1521 Ventures and a Visiting Partner at Lombardstreet Ventures, investing in startups with strong moat and with tangible impact on improving the quality of people’s life.
He is also an active mentor and advisor at 500 Startups, Google Launchpad, China Accelerator, Alchemist, Start-Up Chile, Health Wildcatters, Nana Bianca, The Vault Korea, Galvanize, and Future Food Institute.
He loves to give back and help other people and companies.
Kindness, network, reputation, speed and resilience are his best assets.
Find him here:
https://www.linkedin.com/in/paoloprivitera/
https://www.facebook.com/pppaolo
https://twitter.com/pppaolo
https://instagram/pppaolo
https://angel.co/pppaolo
https://1521.vc/
pppaolo@gmail.com
Bio https://docs.google.com/document/d/12_2bxP7Z9_93bVsVvs-9jZjLFuAI-X1bBc4SjgLkWBo/edit
Toolbox and Track record https://docs.google.com/document/d/1NgJAZLh24pqM8IiZP2OccxNYmuVpQiF6jAUnbIa3Ap4
Latest Updates https://docs.google.com/document/d/1hbY6AQ2fs4-f35YaAg11zDWQ1qjYSbfhIes2Szy2Ruk/edit | San Francisco | California | United States | 29,864 | 19,445 | — | true | false | false | false | — | — | — | — | — | — | — | |||||||||
9 | Rajat | Pandit | Regional Technology Executive | Head of AI Infrastructure (APAC) @ Google | GTM & Deal Leadership | Ex- Head of Engineering @ Tesco | Engineering Roots @ Yahoo & Accenture. | I am a Regional Technology Executive and GTM Leader with over 20+ years of experience bridging the gap between deep engineering and multi-billion dollar commercial execution. My career has been defined by leading complex transformations at some of the world’s most influential technology and retail organizations - from scaling global platforms for thousands of engineers to driving the regional adoption of Generative AI infrastructure.Current Strategic Impact As the Head of AI Infrastructure for Google Cloud (APAC), I lead the Go-To-Market strategy for our high-performance computing portfolio, including TPU/GPU, GKE, AI Hypercomputer and HPC portfolio. My focus is on Value Engineering: diagnosing complex technical narratives to unlock stalled pipelines and accelerate commercial velocity. I am a recipient of the Google Cloud President’s Award, recognized for driving market penetration and structuring large-scale technology deals.The Engineering HeritageBefore pivoting to executive GTM leadership, I built a foundation in deep technical delivery and platform engineering at scale: • At Tesco: As Global Head of Software Development, I led platform engineering for a developer base of over 4,000 engineers, securing critical funding to reduce release cycles by 40% and optimizing multi-cloud OpEx budgets to deliver double-digit percentage savings. • At Yahoo & Accenture: I spent my formative years in the "engine room" of the internet, focusing on semantic search, internationalization, and large-scale digital transformation for public sector and retail giants.The Philosophy I believe in "Calm Technology" and identity-first behavioral change. Whether I am building an AI infrastructure team or developing productivity frameworks, my goal is to simplify the complex and deliver technology that serves the business, not the other way around.Core Expertise: • GTM & Deal Leadership: Deal Construction, Negotiation, and Regional Scale. • AI & Cloud Strategy: Generative AI Advisory, TPU/GPU Optimization, and Enterprise Architecture. • Practice Leadership: Scaling high-performing technical sales and engineering organizations across Singapore, India, and the UK. | Singapore | Central Singapore Community Development Council | Singapore | 17,386 | 15,737 | — | true | false | false | false | — | — | — | — | — | — | — | — | ||||||||
10 | Eduard | P. | Cybersecurity Account Manager at Google | I help SMBs navigate the complex threat landscape through Google Cloud Security.
As an Economist with a strong background in Business Development in the DACH region, my focus is leveraging actionable threat intelligence, unified risk management, and modernized security operations to ensure long-term stability and growth. | Esplugues de Llobregat | Catalonia | Spain | 811 | 809 | true | true | false | false | false | — | — | — | — | — | — | — | — | — | — |
Playground
Run this agent
Advanced parameters are collapsed below.
Inputs
$4.00 / 1k profiles
Est. up to$40.0010,000 profiles
live
curl -X POST https://api.mindcase.co/api/v1/agents/linkedin/company-employees/run \
-H "Authorization: Bearer mk_live_YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"params": {
"companies": [],
"maxResults": 10000,
"locations": [],
"jobTitles": [],
"yearsAtCompany": [],
"yearsOfExperience": [],
"companyHeadcount": [],
"recentlyChangedJobs": null,
"pastJobTitles": [],
"seniorityLevels": [],
"functions": [],
"industries": []
}
}'Edit the form to update this live.
Overview
About LinkedIn Company Employees
LinkedIn Company Employees returns the full professional profile of every employee at a target company — found by company page plus optional filters (job title, seniority, function, industry, location, tenure). Each person comes back with headline, about, location, followers, full experience and education history, skills, certifications, languages, and more.
Sales teams use it to map stakeholders at target accounts; recruiters use it to build talent pools from a company's roster. Returned as clean JSON or CSV — flat fields plus structured arrays for experience, education, and skills — ready for your CRM or warehouse. No LinkedIn login required.
Real-time dataSelf-servePay per resultZero setup time
Cost
Pricing
$4.00per 1,000 profiles
$4.00 per 1,000 profiles. Each profile returned counts as one billable row, and the total count grows based on the number of companies and the results limit per company. Failed runs don't count.
Pay as you goNo subscription