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Technical Product Manager role to lead the evolution of the Public Sector Data Engine, building tools to measure and improve computer vision and generative AI models for critical national security systems. Focus on transitioning from a data labeling leader to a full-stack AI partner.
Job Responsibility:
Architect the vision for ML Ops tooling
Build a seamless foundational engine for data management, curation, model development, and model evaluation
Guide engineering teams through design challenges, system integrations, and technical scaffolding
Drive the roadmap for Public Sector ML Ops tools
Support diverse customer profiles
Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks
Use high EQ and structured thinking to align Engineering, Operations, and Government stakeholders
Requirements:
Background in Software Engineering, Field Engineering, or Vision Systems
Experience in Computer Vision or ML Ops
Understanding of the lifecycle of a model—from data acquisition to Test & Evaluation
Grit and drive to deliver results in high-pressure environments
Structured thinking and action orientation
Active Secret or TS/SCI security clearance
Nice to have:
Advanced degree (CS, Engineering, or a related field) from a top-tier institution, or equivalent experience
Practical experience designing, building, or evaluating large-scale Computer Vision models, including advanced data processing and deployment techniques