The Customer Success Manager (CSM) on the Global Tech Touch team will handle global small-customer business and partner relationships, focusing on the Asia-Pacific region, to retain and expand customers efficiently through Planet’s low-touch model.
Compensation
This role is eligible for commission.
Responsibilities
Ensure customers adopt and see product value
Provide low-touch onboarding and training
Deliver necessary support for successful service delivery
Communicate consistently with clients throughout the contract life-cycle
Work closely with Finance, Product, Sales and other teams
This position focuses on developing and maintaining computational and geospatial technologies that support agricultural watershed science, water quality assessment, dam-break flood modeling, risk evaluation, and emergency planning. The role emphasizes building decision-support systems and web-based tools, managing large environmental datasets, and enabling data-driven environmental management through advanced modeling, software engineering, and GIS/remote sensing workflows.
Responsibilities
Develop computational models, software tools, and web-based decision support systems for agricultural watershed processes, water quality assessment, dam-break flood modeling, risk assessment, and emergency planning.
Develop and maintain scientific software, geospatial applications, databases, and computational workflows using programming languages such as FORTRAN, C++, Python, R, and related technologies.
Design, develop, and maintain geospatial databases, web mapping applications, decision-support systems, and cloud- or cluster-based cyberinfrastructure to support environmental modeling, visualization, and data dissemination.
Manage and process large environmental and hydrologic datasets using GIS, remote sensing, spatial databases, and geospatial analysis tools.
Support high-performance computing, Linux-based research computing environments, automation workflows, and related computational infrastructure required for environmental modeling and data-intensive research.
Requirements
Ph.D. in Computational Hydroscience and Engineering, or a closely related discipline
