Engineering Manager

About The Role

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.

Key Responsibilities

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.
  
  

• Lead and coordinate cross-functional teams
• Cloud/backend team for infrastructure, APIs, analytics dashboards, and system scalability.
• AI/ML and CV teams for DMS/ADAS model deployment and real-time inference.
• Hardware/Embedded teams for firmware integration, camera tuning, and SoC optimization.
• Collaborate with product and business stakeholders to define the roadmap, features, and timelines.
  
  

• 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.
  
  

• 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).
  
  

• Bachelors or Masters in Computer Science, Electrical Engineering, or related field.
• 7+ years of experience in software/product engineering, with 2+ years in a technical leadership or management role.
• Deep understanding of cloud architecture, video pipelines, edge computing, and microservices.
• Proficient in AWS/GCP/Azure, Docker/Kubernetes, serverless computing, and RESTful API design.
• Solid grasp of AI/ML integration and computer vision workflows (model lifecycle, optimization, deployment).
• Experience in data pipelines, SQL/NoSQL databases, and analytics tools (e.g., Redshift, Snowflake, Grafana, Superset).
  
  

• Prior work on automotive, fleet, or video telematics solutions.
• Experience with camera hardware (MIPI, ISP tuning), compression codecs (H.264/H.265), and event-based recording.
• Familiarity with telematics protocols (CAN, MQTT) and geospatial analytics.
• Working knowledge of data privacy regulations (GDPR, CCPA).