Job Description
We are seeking a high-performing Senior Manager to lead, manage, and scale the "Fleet Sense" organization. This crucial initiative delivers a highly impactful, end-to-end solution that is vital for the efficient and scalable growth of our vehicle fleet and geofence operations.
What is Fleet Sense? Fleet Sense is our strategic, closed-loop geospatial intelligence solution. It is designed to unlock the power of our rapidly growing vehicle fleet by transforming real-time telemetry data into continuously updated geospatial representations and a priori information. This system focuses on efficiency and scalability improvements across our entire map domain, ensuring we can rapidly scale our operational efficiency and geofence management without requiring hyper-granular human annotation. This system is critical for scaling our autonomous capabilities.
You will be responsible for translating the technical vision into a scalable, execution-focused roadmap, managing the design and architecture of complex data systems, and ensuring seamless collaboration across multiple engineering and product teams. This role requires a strong blend of technical expertise, organizational leadership, and strategic planning, focusing on leveraging real-time fleet data to continuously improve our geospatial intelligence.
Qualifications
- BS/MS in Computer Science or a related field
- Minimum of 8+ years of technical experience in Software Engineering, or a related field.
- 5+ years of experience directly managing and scaling high-performing software engineering teams.
- Proven track record of successfully productionizing, designing, and deploying complex, horizontally scalable data platforms or distributed systems.
Bonus Qualifications
- Strong background and technical fluency in handling large-scale geospatial data, time-series fleet telemetry, or IoT data streams.
- Expert knowledge of cloud-native architecture and scaling solutions on major platforms (e.g., AWS, GCP, Azure).
- Deep understanding of the architectural trade-offs involved in data ingestion, stream processing, and data validation for continuous, live-updated datasets.
- Experience with NoSQL databases (like DynamoDB or MongoDB) and data warehousing solutions built for massive scale.
Requirements
Qualifications
- BS/MS in Computer Science or a related field
- Minimum of 8+ years of technical experience in Software Engineering, or a related field.
- 5+ years of experience directly managing and scaling high-performing software engineering teams.
- Proven track record of successfully productionizing, designing, and deploying complex, horizontally scalable data platforms or distributed systems.
Bonus Qualifications
- Strong background and technical fluency in handling large-scale geospatial data, time-series fleet telemetry, or IoT data streams.
- Expert knowledge of cloud-native architecture and scaling solutions on major platforms (e.g., AWS, GCP, Azure).
- Deep understanding of the architectural trade-offs involved in data ingestion, stream processing, and data validation for continuous, live-updated datasets.
- Experience with NoSQL databases (like DynamoDB or MongoDB) and data warehousing solutions built for massive scale.
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