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Ruben Mayer
Head of Strategic Projects at Scale AI
Ruben Mayer is a Strategic Product Manager at Scale AI, a rapidly expanding Artificial Intelligence startup. He holds a Master of Science in Computer Science with a specialization in Artificial Intelligence from Stanford University, where he also completed his Bachelor's degree in Economics. Additionally, he has studied at Y Combinator. Ruben has a diverse professional background, having worked in various roles including Head of Strategic Projects, Product Manager, and Product Operations Manager at Scale AI. Prior to his current position, he was a Summer Fellow at Lightspeed Venture Partners and a Summer Intern at Facebook. Ruben also founded FameGame TV, showcasing his entrepreneurial spirit.
Highlights
Life update: Even though my startup was doing reasonably well, Alexandr Wang convinced me that Scale is going to be one of the 10 most important companies of our time, so I decided to come back to run Scale's Gen AI operations.
We are growing so fast that we can barely keep up with demand, so I created this role that would have been the ideal fit for me when I was looking for a job after my first try at a startup.
Strategic Projects Lead is designed for somebody that wants the hard work / fast growth that you might get from running a post PMF company, but without the pain of not having enough customers.
Here's a quick summary of the role
About the role:
- Work on the projects that will move the needle for Scale’s growth
- Partner with the world’s top research teams to improve their AI models
- Get an accelerated career track at Scale
Ideal candidates:
- Excited to work on high pressure / high impact product + ops challenges
- Strong technical skills (can at least do SQL and Python analytics)
- Experience delivering results in a fast growing tech company
About Scale:
- We provide data to help most of the AI companies you’ve heard of improve their models
- Our Gen AI business has grown faster than almost any other startup at our stage, and we are on track to accelerate next year
- We are filling a fundamental gap in existing AI infrastructure (human intelligence), and the need will only increase over time
If you, or somebody you know is interested, please check out this link:
