Job Purpose:
We are seeking a seasoned Engineering Manager to lead the development of our end-to-end Video Telematics and Cloud Analytics Platform. This role demands a strong technical leader with experience across embedded systems, AI/ML, computer vision, cloud infrastructure, and data analytics. You will be responsible for driving technical execution across multidisciplinary teams - overseeing everything from edge-based video analytics to cloud-hosted dashboards and insights.
Role Expectations:
- Platform Leadership: Own and drive the development of the complete video telematics ecosystem, covering edge AI, video processing, cloud platform, and data insights.
- Architect and oversee scalable and secure cloud infrastructure for video streaming, data storage, OTA updates, analytics, and alerting systems.
- Define the data pipeline architecture for collecting, storing, analyzing, and visualizing video, sensor, and telematics data.
- Cross-functional Engineering Management: Lead and coordinate cross-functional teams (Cloud/backend, AI/ML and CV, Hardware/Embedded).
- Collaborate with product and business stakeholders to define the roadmap, features, and timelines.
- Data Analytics: Work closely with data scientists to build meaningful insights and reports from video and sensor data.
- Drive implementation of real-time analytics, fleet safety scoring, and predictive insights using telematics data.
- Operational Responsibilities: Own product quality and system reliability across all components.
- Support product rollout, monitoring, and updates in production.
- Manage resources, mentor engineers, and build a high-performing development team.
- Ensure adherence to industry standards for security, privacy (GDPR), and compliance (e.g., GSR, AIS-140).
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