Satellite Tasking Engineer, Collection Planning

• Support Collection Planning team during operational planning process
• Prepare geospatial data, maps and dashboards
• Run & interpret standard and complex feasibility studies
• Develop, validate and automate operational tools
• Proactively improve existing processes
• Collaborate with image quality support, orbits, mission software, space operations, data pipeline and product teams

This role supports Planet's mission to use space to help life on Earth by managing satellite image acquisition planning that delivers empirical data to commercial, environmental, and humanitarian sectors to solve the world's toughest obstacles.

• 2+ years of relevant experience
• Bachelor’s degree in a relevant field
• 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

• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)
• Volunteering Paid Time Off
• Salary range: $79,300 - $112,700 USD depending on location

Planet designs, builds, and operates the largest constellation of imaging satellites in history, delivering an unprecedented dataset of empirical information via a cloud-based platform to commercial, environmental, and humanitarian sectors to develop new technologies, drive revenue, power research, and solve the world's toughest obstacles.