Scale AI
Scale AI develops AI systems and provides data annotation services for enterprise and government applications. The company has raised $16 billion, making it one of the most heavily funded AI startups globally. It employs 501-1000 people.
About
Scale AI offers a platform for building and managing AI applications, including tools for data collection, annotation, and model evaluation. Its services are used by enterprises and governments to deploy AI systems that require high-quality data and continuous improvement.
The company has secured $16 billion in funding, a notable sum that reflects its position in the AI sector. Its workforce spans 501-1000 employees, with a strong focus on engineering talent. Scale AI’s funding and scale suggest it is a key player in the AI infrastructure market.
Founders and leadership
Scale AI’s largest function is engineering, with 111 employees in this role. The company’s leadership and structure reflect its focus on technical innovation and AI system development. Its workforce spans 501-1000 employees, indicating a significant operational scale.
The Scale AI org chart
Alexandr Wang (CEO and founder) leads 60 mapped leaders with 31 direct reports. Click +N to expand a team; names link to the person’s public profile.
Talent flow
Scale AI recruits heavily from tech giants, with Google, Amazon, and Meta being the top sources of talent. Alumni often move to companies like Meta, Google, and OpenAI, reflecting the company’s focus on AI and machine learning expertise.
Most common previous employers of Scale AI staff: Google (29), Amazon (26), Meta (26), Microsoft (21), Amazon Web Services (AWS) (21), Uber (20). Former Scale AI employees most often moved to Meta (10), Handshake (9), Google (9), Cognition (6), xAI (5), OpenAI (5).
Alumni worth knowing
The Scale AI mafia
Scale AI alumni have founded 54 companies, including Nooks, Cobot, and Secureframe. These startups span industries like AI, robotics, and cybersecurity, showcasing the entrepreneurial impact of Scale AI’s talent network.
54Brad Porter, was Chief Technology Officer until 2022Shrav Mehta, was Marketing & Engineering until 2018Marcel Santilli, was Chief Marketing Officer until 2023Ahmed Rashad, was Head of Supply and Growth until 2022Varun Sharma, was Head of Enterprise Customer Operations - NLP & Emerging Verticals until 2020
Anthony Krivonos, was Senior Software Engineer, Donovan until 2023
Jeff Anders, was Head of Design until 2020
Melisa Tokmak, was GM, Document AI | Director of Engineering until 2023
Mokshith Voodarla, was ML Research & Product until 2021
David Heffernan, was Product Manager until 2022
Davis Potter, was ABM Marketing Lead, Strategic Accounts until 2023
Justin Francesconi, was Director, Strategic Accounts until 2022
Omar Abdelaziz, was Staff Product Manager on GenAI ML team until 2024
Michael Woo, was Head of Ops Scalability (product team) until 2023
Brendon Geils, was Federal Solutions Engineer until 2021
Kayla Huang, was Software Engineer until 2022
Ruslan Nazarenko, was Head of Growth until 2025
Allen Wang, was Software Engineer until 2022
Youssef Abdelmaksoud, was Expert Coder until 2025
Andrew Johnston, was Head of Sales (Sr. Director) until 2023
Rees Bayba, was Enterprise GTM until 2024
Aerin Kim, was Engineering Manager until 2023
Jimit Mehta, was Enterprise ABM until 2020
Mohamed Sameh, was Code Checker until 2024
Jims Chacko, was Manager until 2025
Craig Weiss, was Software Engineer until 2021
Alberto Cabano, was AI/ML Engineer Tester until 2021
Mohammad Kaif Ahmed, was Associate AI Trainee until 2023
Fra Salazar, was Digital Growth Marketing Manager until 2023
Zain Ali Siddiqui, was Competitive Coding AI Trainee until 2023
Kaushik Mahorker, was Engineering Manager until 2024
ESSAMELDIN AMMAR, was Senior Reviewer for Arabic Voice Data & AI Training | Linguistic Accuracy & Script Validation until 2025
Andy Chen, was Investor until 2025
Agustín Anfosso, was Software Engineer until 2022
Jose Adrian Luna Maya, was Applied Scientist Intern until 2021
Jackie Vandermel, was AI Engineer until 2024
Joseph Ayinde, was Scientific Research Fellow until 2024
Mith Paresh Patel, was Software Engineer Intern until 2024
Adi S., was Codegen until 2024
Nisse Knudsen, was Global Solutions Engineering Lead until 2021
Kishan Kumar, was Software Engineer until 2025
Kanush Agrawal, was Lead, global strategic AI projects until 2025
Miljan Milev [LION], was Scaler until 2016
Afsana Awal, was Machine Learning Engineer Intern until 2025
Gideon Ugochukwu, was Scale AI Training until 2023
Reda Akrime, was Workflow Coordinator & AI Content Evaluator until 2024
Ayush Sharma, was GenAI Ops (Code & Math, Reasoning & various engineering disciplines) until 2025
Eglė Mikulskytė, was AI Trainer (Lithuanian writing expert) until 2023
Samira O., was AI Quality Analyst until 2025
Anne Parker, was Manager, Recruiting until 2023
Kevin Power, was AI Mathematics & Reasoning Training Data Annotation until 2025Hiring now
Web traffic
Traffic mix: 33% direct, 50% search, 6% social, 0% paid.
Where the team actually sits
Scale AI people are concentrated in California, United States (78), San Francisco Bay Area (65), New York, United States (49), United States (40).
Search footprint
Scale AI attracts about 25,019 organic search visits a month, traffic worth roughly $26K a month if bought through ads. It gained 1,783 ranking keywords and lost 1,082 in the last period.
What employees say
- Compensation
- 3.60 / 5
- Career opportunities
- 3.70 / 5
- Senior management
- 3.20 / 5
- Work-life balance
- 3.20 / 5
Frequently asked
Scale AI has raised $16B in total, most recently a Corporate Round round in June 2025.
Scale AI was founded in 2016 by Alexandr Wang.
Alexandr Wang (CEO and founder) sits at the top of Scale AI's reporting structure, with 31 direct reports.
The most common previous employers of current Scale AI staff are Google (29 people), Amazon (26 people), Meta (26 people).
Former Scale AI employees most often move to Meta (10), Handshake (9), Google (9).
At least 54 companies have a founder who previously worked at Scale AI, including Nooks, Cobot, Secureframe.
Scale AI attracts about 25,019 organic search visits a month, worth roughly $26K a month in equivalent ad spend.
Scale AI staff are concentrated in California, United States (78), San Francisco Bay Area (65), New York, United States (49).
Computed from 559 current and 554 former Scale AI profiles, as of September 2026. Source: Crustdata.
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