
1001 - 5000 employees
đ Transport
đ€ Artificial Intelligence
đą Enterprise
Transport âą Artificial Intelligence âą Enterprise
Motive is a company that provides an integrated operations platform designed to enhance the safety, productivity, and profitability of fleet management and operations. Utilizing cutting-edge AI technology, Motive offers solutions such as driver safety monitoring, fleet management, equipment monitoring, and spend management. These services provide unparalleled visibility into vehicles and equipment, automate workflows, reduce costs, and improve efficiency for industries like construction, oil & gas, public sector, food & beverage, and logistics. Motive is recognized as a leader in fleet management and empowers companies to maximize their operational potential with innovative solutions.
đ February 3
đ”đ° Pakistan â Remote
â° Full Time
đ Senior
đŽ Lead
đźââïž Software Engineering Manager
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1001 - 5000 employees
đ Transport
đ€ Artificial Intelligence
đą Enterprise
Transport âą Artificial Intelligence âą Enterprise
Motive is a company that provides an integrated operations platform designed to enhance the safety, productivity, and profitability of fleet management and operations. Utilizing cutting-edge AI technology, Motive offers solutions such as driver safety monitoring, fleet management, equipment monitoring, and spend management. These services provide unparalleled visibility into vehicles and equipment, automate workflows, reduce costs, and improve efficiency for industries like construction, oil & gas, public sector, food & beverage, and logistics. Motive is recognized as a leader in fleet management and empowers companies to maximize their operational potential with innovative solutions.
âą Build data roadmap for the sales data engineering team building both internal and external data products. âą Drive innovation in our sales data products with the application of AI in both the processes we work on to the products we deliver. âą Build teams to scale out our maturing set of analytics products. âą Be deeply technical and continue to code and drive technical standards within the team. âą Architect and design data models in collaboration with data and product teams. âą Communicate effectively and drive strategy across multiple teams and projects.
âą Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics âą Knowledge of Sales Cycles and B2B Sales âą 10+ years experience in Data Engineering, and 3+ years managing a team âą Expertise with data engineering stack, dBt, Snowflake, airflow, data observability tools, AWS, pyspark. âą Expertise in SQL and Python âą Great planning and roadmapping skills âą Excellent communication, collaboration, and people skills.
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