Satellite Tasking Engineer, Collection Planning
Planet LabsSan Francisco, CAPosted 7 April 2026
Job Description
Welcome to Planet. We believe in using space to help life on Earth.
Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.
As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.
About the Role:
Our team is in charge of planning the tasks and imagery acquisitions of Earth observation satellites. We do so with a small team of highly-skilled engineers from our offices in SF and Berlin and we are currently looking for a highly motivated and proactive Satellite Tasking Engineer to join our operations team.
Your mission will be to support day-to-day operations, which includes collection performance analysis, order monitoring, performing feasibility studies and the development of our operational tools.
The ideal candidate is a self-starter, quick learner, good communicator, and has the ability to switch contexts quickly. You will be working in a close collaborative environment, and will gain first-hand experience in numerous fields related to managing satellite image acquisition planning, geospatial data analysis, tool development and process automation by supporting our operations team.
This is a full-time, hybrid role which will require you to work from our San Francisco office 3 days per week.
Impact You'll Own:
Support Collection Planning team during operational planning process
Prepare geospatial data, maps and dashboards
Run interpret standard and complex feasibility studies
Develops, validates and automates operational tools
Proactively improve existing processes
Collaborates with image quality support, orbits, mission software, space operations, data pipeline and product teams
What You Bring:
2+ years of relevant experience
Bachelor’s degree in Computer Science, engineering, or geo science
Software development experience in Python or equivalent
Data-driven mindset and comfortable with data analysis
Sound SQL skills, familiar with git / version control
Understanding of satellite imagery and remote sensing
Self-starter that proactively tackles problems and brings in their own ideas
Ability to work in a dynamic environment
Team player with an ability to learn and collaborate across teams
Fluent in written and spoken English, the language of the company
What Makes You Stand Out:
Familiar with automation and software development tools (i.e. Jenkins, Bash, Git)
Experience with data visualization platforms (e.g., Looker Studio, OMNI, CARTO).
Familiarity with geospatial software (e.g., QGIS, ArcGIS, GDAL) or libraries (e.g., Shapely, GeoPandas).
Application Deadline:
June 26, 2026 at 11:59p PT
EAR/ITAR Requirements:
This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.
Benefits While Working at Planet:
... (truncated, view full listing at source)
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