Product Manager, Data Engine

You will:

• 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.

Ideally you'd have:

• Technical by Core: Background in Software Engineering, Field Engineering, or Vision Systems. Can read code, understand system architecture, and earn respect of engineers.
• ML/CV Experience: Experience in Computer Vision or ML Ops. Understand model lifecycle from data acquisition to Test & Evaluation.
• Grit: "Whatever-it-takes" drive in high-pressure environments.
• Structured Thinker, but Action Oriented: Decompose problems, create action plans, drive results.
• Security Clearance: Active Secret or TS/SCI clearance required.

Nice to haves:

• Demonstrated Technical Rigor: Advanced degree (CS, Engineering, or related) from top-tier institution or equivalent.
• Computer Vision (CV) Expertise: Experience designing, building, or evaluating large-scale CV models, data processing, and deployment.