Planet

Solutions Architect I

Planet · Berlin, Germany

Posted 8 days ago

or apply directly on Planet's site. We never take the application ourselves.

Is this posting real?

This role has been open
8 days
Planet's roles stay open a median of 34 days
Reposted
No
Salary listed
No
0% of Planet's roles list one
Ghost-job risk at Planet
high
56 stale, 12 reposted of 127 open
Hiring momentum
156 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Planet's own greenhouse board since 2026-08-03. Full hiring picture for Planet.

About this role

As a Solutions Architect I at Planet, you will work closely with customers to understand their challenges and design tailored solutions using Planet's geospatial technologies. Your role involves delivering workshops, creating demo applications, and collaborating with cross-functional teams to ensure customer success and satisfaction. You will also engage in solution ideation and support pre-sales activities, making a significant impact on how customers utilize Planet's data for global change.

Our read on this posting3.4out of 5
benefits
4/5
freshness
5/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Planet as an employer.

What you need

  • 4+ years of relevant work experience in a technical geospatial or remote sensing role
  • Bachelor’s degree in GIS, Computer Science, Remote Sensing, Geography, or a related field
  • A background in remote sensing, geoscience, or geoinformatics
  • Extensive programming ability with Python for geospatial applications
  • Experience with solution design, requirement gathering, product user story ideation, solutions design documentation, architecting and prototyping
  • Proficiency with QGIS, ArcGIS, GDAL, ENVI or other common geospatial software

Nice to have

  • Advanced experience with machine learning algorithms applied to geospatial data
  • Working knowledge of modern cloud tools and pipelines, including Google Functions, CI/CD integrations, Vertex AI and Amazon Bedrock
  • Knowledge of the Challenger methodology for liaising with clients
  • Working knowledge of JavaScript and its mapping libraries (OpenLayers, Leaflet, ArcGIS API for JavaScript)

What you get

  • Paid time off including vacation, holidays and company-wide days off
  • Employee Wellness Program
  • Home Office Reimbursement
  • Monthly Phone and Internet Reimbursement
  • Tuition Reimbursement and access to LinkedIn Learning
  • Equity

Worth weighing

  • Hybrid role requiring 3 days in the Berlin office
  • No specific mention of a team structure or support for the role
  • Salary range provided, but individual placement criteria may vary

Summarised from Planet's posting. Read the full original.

Listed by Planet on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

More roles at Planet

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