Application Guide

How to Apply for Satellite Tasking Engineer, Collection Planning

at Planet

🏢 About Planet

Planet uniquely combines space technology with data analytics, operating the world's largest constellation of Earth-imaging satellites. They control the entire pipeline from satellite manufacturing to data delivery, creating a vertically integrated company that empowers environmental and humanitarian efforts through timely global imagery. Working here means contributing directly to solving real-world problems with space-based data.

About This Role

As a Satellite Tasking Engineer for Collection Planning, you'll be responsible for planning imagery acquisitions for Planet's satellite constellation, optimizing task scheduling to meet customer and internal needs. This role directly impacts how effectively Planet's satellites capture Earth observation data that drives commercial, environmental, and humanitarian applications worldwide.

💡 A Day in the Life

A typical day involves analyzing collection requests, optimizing satellite tasking schedules using Python scripts and SQL queries, coordinating with teams in different time zones to prioritize acquisitions, and troubleshooting any issues with planned collections. You'll balance customer needs with satellite constraints while continuously improving automation processes for more efficient operations.

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Interview Prep

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🎯 Who Planet Is Looking For

  • Has 2+ years experience with satellite tasking, collection planning, or orbital mechanics, preferably with Earth observation systems
  • Demonstrates strong Python programming skills for automation and data analysis, with practical experience using SQL for data querying and git for version control
  • Possesses a solid understanding of satellite imagery characteristics, remote sensing principles, and how to optimize acquisition parameters
  • Is a proactive problem-solver who can work independently in a dynamic remote environment while collaborating effectively with teams in SF and Berlin

📝 Tips for Applying to Planet

1

Highlight specific experience with satellite tasking systems or orbital mechanics tools in your resume, not just general aerospace experience

2

Include concrete examples of Python scripts you've written for data analysis or automation, preferably related to spatial or satellite data

3

Demonstrate your understanding of Planet's specific constellation by mentioning their satellite types (Doves, SkySats) and how their revisit rates impact tasking decisions

4

Show how you've worked effectively in remote teams, as this position is fully remote but coordinates with offices across time zones

5

Quantify your impact in previous roles using metrics related to tasking efficiency, data quality improvements, or automation successes

✉️ What to Emphasize in Your Cover Letter

["Explain your specific experience with satellite collection planning or tasking systems and how it applies to Planet's constellation", 'Describe a project where you used Python for data analysis or automation related to satellite operations or remote sensing', "Demonstrate your understanding of Planet's mission by connecting your skills to their applications in environmental monitoring or humanitarian response", 'Show how you proactively solve problems and bring ideas, referencing a specific example of improving a process or system']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Study Planet's satellite constellation specifics including their Dove and SkySat fleets, revisit rates, and imaging capabilities
  • → Explore Planet's customer case studies to understand how their data is used in environmental monitoring, agriculture, and disaster response
  • → Review Planet's technical blog and GitHub repositories to understand their tech stack and approach to satellite operations
  • → Understand the challenges of operating a large satellite constellation and how tasking optimization impacts data delivery

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Technical questions about optimizing satellite tasking schedules considering orbital mechanics, weather constraints, and customer priorities
2 Python coding exercises focused on data analysis of satellite acquisition data or automation of tasking processes
3 SQL queries to extract and analyze satellite performance or tasking efficiency metrics from databases
4 Scenario-based questions about handling conflicting collection requests or system failures in a dynamic environment
5 Discussion of how you stay current with remote sensing technologies and apply innovative approaches to collection planning
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⚠️ Common Mistakes to Avoid

  • Applying with only general aerospace experience without specific satellite operations or tasking background
  • Failing to demonstrate practical Python and SQL skills with relevant examples in your application materials
  • Showing limited understanding of how Earth observation data is actually used by customers in commercial and humanitarian applications

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Planet!

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