Operations Program Manager (Computer Vision)

TL;DR

Operations Program Manager (Computer Vision): Leading cross-functional ML operations for public sector projects with an accent on data labeling workflows, quality assurance, and operational efficiency. Focus on managing complex computer vision initiatives for national security customers and driving metrics-led results in secure environments.

Location: Must be able to work onsite in Saint Louis, MO or the Washington D.C. area

Company

Scale AI provides high-quality data and full-stack technologies to power the world's leading AI models for enterprises and government agencies.

What you will do

• Design and lead cross-functional initiatives with engineering, product, and delivery teams to achieve project outcomes.
• Innovate on complex computer vision workflows and data quality evaluation processes.
• Communicate and own the execution of data annotation workflows across diverse data types like geospatial imagery and video.
• Optimize annotation workflows using systems analysis to improve throughput and machine learning outcomes.
• Partner with engagement managers to shape outcomes for public sector customers.

Requirements

• 5+ years of experience in a general manager or program manager leadership role.
• Ability to work onsite in unclassified and secure facilities in Saint Louis, MO or Washington D.C.
• Analytical, automation-focused mindset with experience developing metrics-led results.
• History of successful project management and comfort working in ambiguity.
• Willingness to travel up to 25% of the time based on mission needs.

Nice to have

• Active TS-SCI security clearance.
• Technical background in economics, statistics, computer science, or engineering.
• Experience working with the U.S. government.
• Deep understanding of ML operations for Computer Vision and Generative AI.
• MBA or relevant technical degree.

Culture & Benefits

• Comprehensive health, dental, and vision coverage.
• Retirement benefits and generous PTO.
• Learning and development stipend.
• Equity-based compensation subject to approval.
• Inclusive and equal opportunity workplace.