Director of Computer Vision

Join our team as the Director of Computer Vision, where you will drive the technical vision, research, and engineering execution for our platform. You will define the long-term research agenda, provide executive technical leadership, manage and scale a unified computer vision research and engineering organization, own the entire engineering lifecycle for central, reusable computer vision models, and define and implement key technical performance metrics. This role requires deep expertise in computer vision, machine learning algorithms, and the end-to-end MLOps lifecycle, as well as strong organizational and people leadership skills.

• Definir la estrategia de investigación a largo plazo para las capacidades fundamentales de visión por computadora y fomentar una cultura de excelencia científica.
• Proporcionar liderazgo técnico ejecutivo a una organización unificada de investigación e ingeniería, definiendo la arquitectura técnica, la estrategia y la hoja de ruta de ingeniería para la plataforma de visión por computadora.
• Gestionar y escalar una organización unificada de investigación e ingeniería en visión por computadora distribuida en múltiples geografías, supervisando múltiples equipos y definiendo la estrategia para reclutar, mentorear y atraer talento de clase mundial.
• Executive Technical Strategy & Metrics: Proven experience defining long-term technical vision, engineering strategy, and roadmaps for a large-scale platform. Expertise in defining and implementing technical metrics (e.g., latency, throughput, system reliability, model efficiency) to measure engineering excellence and drive continuous improvement across an organization
• Customer-Driven Technical Leadership (Pathfinding): Track record of translating highly ambiguous product concepts and complex customer needs into clear, executable technical roadmaps and architectural specifications
• Start-up Mentality & Agility: Experience in a start-up or fast-paced environment is highly valued, demonstrating high ownership, bias for action, comfort with ambiguity, and the ability to drive 0-to-1 product development with limited resources
• Organizational & People Leadership: Demonstrated ability to manage and scale a unified, distributed engineering and research organization of 50 to 100 people, mentor senior technical talent, and lead multiple teams across different geographies
• Technical Acumen & Deep Expertise: Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end MLOps lifecycle, including 5+ years of hands-on experience building and optimizing computer vision models or as a computer vision researcher. Proven ability to engage in complex technical discussions, define the architectural vision for central, reusable AI infrastructure and models, and drive technical strategy while managing critical trade-offs
• 10+ years of technical leadership experience leading computer vision teams and organizations, with a focus on building and deploying enterprise-scale platforms and solutions in production
• Domain Knowledge: Experience in public safety, security-focused software (e.g., video security, evidence management), mission-critical systems, or emergency communications is a plus
• Strong Analytical and Research Skills: Hands-on experience driving innovation through foundational research, working with AI performance metrics (e.g., Precision/Recall), real-time video processing, and inference optimization