Product Manager, Data Engine

Scale AI•Washington, DC

30d•Hybrid

About The Position

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. 60% Platform PM: 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. 40% Technical PM: You will go deep into the stack. 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.

Requirements

Technical by Core: You have a background in Software Engineering, Field Engineering, or Vision Systems. You can read code, understand system architecture, and earn the immediate respect of world-class engineers.
ML/CV Experience: You have experience in Computer Vision or ML Ops. You understand the lifecycle of a model—from data acquisition to Test & Evaluation.
Grit: You possess a "whatever-it-takes" drive. You are comfortable running through walls, grinding through ambiguity, and delivering results in high-pressure environments.
Structured Thinker, but Action Oriented: You can take a challenging problem, decompose it, create action plans, and drive results.
Security Clearance: An active Secret or TS/SCI clearance is a requirement for this role, allowing for immediate engagement with the most critical customer programs.

Nice To Haves

Demonstrated Technical Rigor: Advanced degree (CS, Engineering, or a related field) from a top-tier institution, or equivalent experience that showcases deep technical problem-solving ability.
Computer Vision (CV) Expertise: Practical experience designing, building, or evaluating large-scale Computer Vision models, including advanced data processing and deployment techniques.

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.