Scale's Federal customer base is growing rapidly, and you will be on the front lines of machine learning (ML) operations to accelerate the development of artificial intelligence (AI) applications for the Department of Defense and other national security customers. As a Federal Operations Manager, you have complete project-level ownership of the operations of our data labeling system and are responsible for delivering data on time and at a high level of quality. You will build a team of high quality data quality specialists, leverage structured problem-solving to drive operational efficiencies, and work cross-functionally with other Scale teams. Based on the project, you may also be the front line customer touch point. All of this serves an ultimate goal of delivering outsize value in supporting our Federal customer's AI / ML objectives.
You will:
Own and execute multiple data annotation workflows across diverse data types (geospatial imagery, text, etc)
Optimize data annotation workflows to improve data quality to achieve machine learning outcomes
Drive operational efficiencies on these workflows to achieve business outcomes
Lead cross-functional initiatives with engineering, product, analytics, and delivery teams (as well as relevant experts) to achieve project outcomes
Communicate with and shape outcomes for Scale's strategic customers across the Department of Defense and national security customers
You have:
An active Secret security clearance
3+ years of experience in a general manager/program manager position or a similar leadership role in operations
Experience working in a fast-paced environment
Ability to collaborate effectively in cross-functional environments
Excellent verbal and written communication
An analytical, problem-solving, and grit mindset to deliver metrics-led results
Intellectual interest in machine learning and a strong desire to do impactful work in support of the U.S. government
Able to work onsite in a secure facility in downtown Saint Louis, MO
Nice to haves:
An active TS/SCI security clearance
A technical background (education or professional experience with computer science, economics, statistics, or engineering)
SQL knowledge and ability to apply statistical methods to drive data analysis
Experience with lean process improvement, Six Sigma, Toyota Production System, etc.
Experience working in and/or with the U.S. government
