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Operations Program Manager; Computer Vision), Public Sector

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Scale AI, Inc.
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Data Science Manager, Data Scientist
Salary/Wage Range or Industry Benchmark: 139200 - 212000 USD Yearly USD 139200.00 212000.00 YEAR
Job Description & How to Apply Below
Position: Operations Program Manager (Computer Vision), Public Sector
Location: St. Louis

Scale's Public Sector 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 Public Sector Operations Program Manager, you will act as the program manager for multiple projects on the Public Sector Computer Vision team, working cross-functionally with our Delivery and Engineering teams, and collaborating with a team of high performing operations managers and subject matter experts to drive operational efficiencies. You will have team and 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 across diverse data modalities and levels of clearance.

All of this serves an ultimate goal of delivering outsize value in supporting our Public Sector customer's AI / ML objectives. You will also help lead how we develop and communicate our operational improvements for the customer.

You will:
  • Design and lead cross-functional initiatives with engineering, product, analytics, and delivery teams (as well as relevant geospatial experts) to achieve project outcomes
  • Innovate on complex computer vision workflows and evaluation of data quality
  • Communicate and own the execution of multiple data annotation workflows across diverse data types (geospatial imagery, video, etc)
  • Optimize data annotation workflows with systems analysis to improve data quality and throughput with a goal achieving optimized machine learning outcomes
  • Outline and deliver on data-driven operational efficiencies on these workflows to achieve business outcomes
  • Partner with an engagement manager to communicate with and shape outcomes for Scale's Public Sector customers
You have:
  • 5+ years of experience in a general manager / program manager position or a similar leadership role in operations
  • The ability to regularly work onsite in both unclassified and secure facilities in either downtown Saint Louis, MO or the Washington D.C. area
  • An analytical, automation-focused mindset, able to analyze provable and traceable data to develop robust, flexible integrations and workflows with metrics-led results
  • Experience working in a fast-paced environment
  • Low ego and a proven pattern of sharing wins with your team
  • A history of successful project management and comfort in ambiguity
  • Willingness to travel up to 25% of the time based on customer + mission needs
Nice to haves:
  • An active TS-SCI security clearance
  • A technical background (education or professional experience with economics, statistics, computer science, or engineering)
  • Experience working in and / or with the U.S. government
  • A deep understanding of ML operations for Computer Vision and Generative AI workflows / products
  • MBA or relevant technical degree
Compensation & Benefits

Base salary range:
Washington DC/Hawaii: $139,200 – $212,000 USD;
St. Louis/Suffolk: $116,000 – $177,000 USD. Compensation includes base salary, equity, and benefits such as comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and a commuter stipend. Eligible roles receive equity-based compensation subject to Board of Director approval.

Employment Information

This is a full-time position. Work locations may include the Washington DC/Hawaii, St. Louis/Suffolk, or remote. The role requires on-site presence in secure facilities and occasional travel. The company complies with equal employment opportunity laws and provides reasonable accommodations for applicants with disabilities.

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