Location: Remote (Preferably Mexico City, Guadalajara, Monterrey, Queretaro, or Puebla)*
Company Overview: At Scale we're not just building a team—we're building the future. Our mission is to accelerate the development of AI applications, revolutionizing industries, and shaping tomorrow's landscape. We hire considering three important aspects: Merit, Excellence, and Intelligence. We believe that better data is the cornerstone of powerful AI models, leading to faster deployment and tangible results.
We’re a technology start-up based in San Francisco that is making waves globally. With operational hubs spanning the US, Mexico, Argentina, UK, Hungary, and Germany, we're a diverse and dynamic force driving innovation on a global scale. Our team of over 850 trailblazers includes over 250 talented individuals in Mexico alone, each contributing their unique expertise to our collective success.
Teaming up with industry leaders in the field of AI and technology, we stand at the forefront of innovation. But it's not just our partnerships that set us apart—it's our unwavering commitment to teamwork, collaboration, ambition, and innovation. Together, we're breaking boundaries, pushing limits, and redefining what's possible in the world of AI.
Join us on this incredible journey and become part of something truly extraordinary.
Job Summary:
Join our expanding MX team as an Operations Associate and become part of something truly extraordinary. As a member of our operations team, you will be accountable for driving revenue by ensuring that Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards. You will manage our supply operation funnel by building and running solutions, tools, and processes by working with a cross-functional team including Customer Operations, Product Operations, Product Managers, and many others.
You will be solving problems no one has solved before, and you will need to be relentless in driving stellar results, running pilots, tests, and experiments. You’ll come up with creative solutions to bottlenecks. The blend of operations and ownership of our most important outcomes make this a unique and exciting role at the heart of Scale’s daily operations.
The ideal candidate is scrappy, analytical, empathetic, outcome focused, and above all someone who drives and inspires results.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.