Product Manager, Data Engine

Overview The Mission: Scale AI is leading the AI revolution, developing reliable AI applications for the world's most important decisions. For the Public Sector, we translate this mission into operational advantage for our government customers. We are looking for a technical, high-horsepower Product Manager to lead the evolution of the Public Sector Data Engine. This team believes that the data engine, capable of producing “n” models, is more important than any single model. This role is focused on building tools that can measure and improve the computer vision and generative AI models at the heart of critical national security systems. You won’t just be managing a roadmap; you will be building the ML Ops infrastructure that allows the government to spin the ML Ops flywheel to develop reliable AI. This work will span both Computer Vision and Generative AI. This is a hybrid role for a PM who loves the \"why\" as much as the \"how.\" You will sit at the center of our transition from a data labeling leader to a full-stack AI partner. You will architect the vision for our ML Ops tooling, building a seamless \"foundational engine\" that supports data management, curation, model development, and model evaluation for internal and external Machine Learning Teams. You’ll be expected to guide engineering teams through design challenges, system integrations, and the technical scaffolding required for state-of-the-art model testing. Responsibilities Architect the AI Engine: Drive the roadmap for Public Sector ML Ops tools, ensuring they serve as the \"ground truth\" foundation for building, evaluating, and deploying AI systems. Bridge Custom & Scale: Support diverse customer profiles—from massive-scale satellite and video labeling engagements to complex, bespoke ML Ops partnerships. Own Technical Scoping: Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks (T&E). Operationalize Collaboration: Use high EQ and structured thinking to align Engineering, Operations, and elite Government stakeholders. Qualifications Technical by Core: Background in Software Engineering, Field Engineering, or Vision Systems. Ability to read code, understand system architecture, and earn the immediate respect of world-class engineers. ML/CV Experience: Experience in Computer Vision or ML Ops. Understand the lifecycle of a model—from data acquisition to Test & Evaluation. Grit: A\"whatever-it-takes\" drive; comfortable with ambiguity and delivering results in high-pressure environments. Structured Thinker, but Action Oriented: Ability to decompose challenging problems, create action plans, and drive results. Nice to haves Security Clearance: An active Secret or TS/SCI clearance is a nice to have. If you do not have an active clearance, you must be willing to obtain one. Demonstrated Technical Rigor: Advanced degree (CS, Engineering, or related field) or equivalent experience showing deep technical problem-solving ability. Computer Vision Expertise: Practical experience designing, building, or evaluating large-scale Computer Vision models, including advanced data processing and deployment techniques. Compensation and Benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting\'s subtitle for where this position will be located. For pay transparency purposes, the base salary ranges are provided for multiple locations in the posting. 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, our mission is to develop reliable AI systems for the world\'s most important decisions. We work with industry leaders and government agencies to accelerate the development of AI applications. We are committed to equal employment opportunity and to providing reasonable accommodations to applicants with disabilities. If you need assistance, please contact View email address on click.appcast.io. We comply with applicable laws and provide privacy protections for applicants. #J-18808-Ljbffr Scale AI