Engineering Manager, Computer Vision

Team Leadership:

• Lead, mentor and develop a high-performing team of computer vision and machine learning engineers.
• Foster a culture of technical excellence, accountability, collaboration, and continuous learning.
• Support career development, performance management, and hiring to build and retain top talent.

Strategy & Business Impact:

• Own the business outcomes of the Computer Vision team and align technical investments with company objectives.
• Define and execute the long-term vision, strategy, and roadmap for computer vision capabilities.
• Partner with Product and stakeholders to prioritize initiatives, establish success metrics, and drive measurable impact.

Technical Leadership & Execution:

• Drive architecture, system design, and technical direction for scalable, reliable computer vision and machine learning solutions.
• Lead technical reviews, guide engineering best practices, and ensure high-quality execution.
• Oversee the end-to-end ML lifecycle, including model development, deployment, monitoring, and continuous improvement.

Operational Excellence:

• Establish high engineering standards through code reviews, design reviews, testing, and operational best practices.
• Lead incident response, root cause analysis, and reliability improvements for production systems.
• Participate in and oversee on-call operations to ensure system reliability and service availability.