Planet operates the world's largest constellation of imaging satellites and the software platform that turns raw imagery into actionable intelligence. The tech stack reveals a hardware-forward org: FPGA, SystemVerilog, and HFSS (electromagnetic simulation) sit alongside Python, GCP, and Vertex AI, indicating deep embedded systems work paired with modern cloud ML. Active hiring across engineering, sales, and manufacturing—with a notable leadership gap in government affairs and mission operations—suggests Planet is scaling both the satellite fleet and go-to-market motion into government and commercial segments simultaneously.
Notable leadership hires: Government Affairs Director, Mission Director
Planet designs, builds, and operates a constellation of imaging satellites and delivers daily global coverage through a software platform. Founded in 2010 by three NASA scientists, the company serves decision-makers in business, government, and research organizations with satellite-derived data and ML-powered analytics. The platform includes a mission control web application, real-time operational software, an AI geospatial assistant, and a monitoring service (GMS app). Planet's challenges span satellite health maintenance, manufacturing automation, and government sales expansion. The company employs 501–1,000 people across engineering-heavy teams and is actively hiring across 13 countries, including the United States, Germany, and Singapore.
Python, C++, Java, SQL for core software; GCP and Vertex AI for cloud and ML; Salesforce for CRM; Jira and Confluence for collaboration; FPGA, SystemVerilog, and HFSS for satellite hardware and electromagnetic design.
An AI geospatial assistant, real-time mission-critical satellite operations software, an insights platform, a mission control web application, and automated scalable calibration processes for manufacturing and fleet management.
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