Mexico City, Mexico

Scale is at the forefront of enabling Machine Learning across multiple industries including self driving cars. As one of Scale's Operations Program Managers, you'll be running solutions, tools, and processes to ensure timely delivery of our services while maintaining the highest quality standards. We are growing operations rapidly, on-boarding new customers, and launching products all the time. This raises new strategic questions we need to answer as well as tactical challenges we need to overcome.

You will be part of a highly motivated team of operators and collaborators who will ensure steady delivery and customer satisfaction. You are relentless in driving stellar results, running pilots, tests, and experiments, then handing over new designs to a team of skilled operators.

The blend of operations, process improvement, and cross-functional leadership make this a unique and exciting role that will provide an opportunity to work with multiple teams (e.g., Engineering, Marketing, Operations, Analytics, and several others) across the company and around the globe.

You will:

Drive some of our most critical operational processes (data labeling, data curation and data generation operations)
Improve and automate existing processes using scripts and LLMs
Provide inputs on internal tooling improvements and work with engineers to implement them
Collaborate with stakeholders (finance, growth, planning etc) to mitigate dependencies
Create an effective feedback loop between the frontline, product, strategy, and customers
Build, maintain, and regularly communicate detailed reporting for other leaders across the company

Ideally you'd have:

Industry experience in supply chain, finance planning, in an operational role in a top firm or a startup
An undergraduate degree from a top university in an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree from a top university in Engineering, Economics, or Business
Experience leading day to day activities and improving processes
An action oriented mindset that balances creative problem solving with the desire to run through walls to deliver outcomes
Analytical, planning, and process improvement capability

Nice to haves:

Experience with SQL and databases
Experience with Python scripting and some LLM usage

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 [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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