Director of Computer Vision

Role Overview

• Drive the technical vision, research and engineering execution for the platform.
• Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence.
• Provide executive technical leadership to a unified research and engineering organization.
• Define the technical architecture, strategy, and engineering roadmap for the Computer Vision Platform.
• Drive execution, ensuring the seamless translation of product requirements into robust technical specifications and successful delivery of next-generation visual intelligence solutions.
• Manage and scale a unified computer vision research and engineering organization distributed across multiple geographies.
• Own the entire engineering lifecycle for central, reusable computer vision models and foundational AI infrastructure.
• Establish best-in-class MLOps practices for scalable training, efficient deployment, continuous monitoring, and performance optimization across edge and cloud environments.
• Define, implement, and track key technical performance metrics to measure engineering success, identify bottlenecks, and drive continuous improvement in execution and delivery.
• Evaluate and integrate cutting-edge computer vision research and technologies while proactively identifying and mitigating significant technical risks.

Requirements

• 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.
• 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.
• 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.
• 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.
• Hands-on experience driving innovation through foundational research, working with AI performance metrics (e.g., Precision/Recall), real-time video processing, and inference optimization.
• Track record of translating highly ambiguous product concepts and complex customer needs into clear, executable technical roadmaps and architectural specifications.
• 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.
• Experience in public safety, security-focused software (e.g., video security, evidence management), mission-critical systems, or emergency communications is a plus.

Tech Stack

• Cloud

Benefits

• Incentive Bonus Plans
• Medical, Dental, Vision benefits
• 401K with Company Match
• 10 Paid Holidays
• Generous Paid Time Off Packages
• Employee Stock Purchase Plan
• Paid Parental & Family Leave
• and more!